HEA₃RT News & Publications

Garcia P, Ma S, Shah S. Early Use of AI-Generated Draft Replies for Patient Messages – Adoption and Clinician Experience.

• XGM, Madison, WI (2024)

Garcia P, Ma S, Shah S, Delahie C. Early Use of Generative AI for Clinical Documentation with DAX Copilot.

• XGM, Madison, WI (2024)

Shah S. Artificial Intelligence and Transforming the Future of Healthcare.

• Society of General Internal Medicine (SGIM) California-Hawaii Regional Meeting, San Francisco, CA (2024)

Jeong J, Garcia P, Ma S, Shah S, Smith M, Devon-Sand A, Tai-Seale M, Takazawa K, Clutter D, Vogt K, Lugtu C, Rojo M, Lin S, Shanafelt T, Pfeffer M, Sharp C. Early Use of GPT-Generated Draft Replies for Patient Messages – Adoption and Clinician Experience.

• Society of General Internal Medicine (SGIM) California-Hawaii Regional Meeting, San Francisco, CA (2024)

Sattler A, Daswani S, Srivathsa N, Hong G, Lin S, Milstein A, Shah N, Adeli E. Leveraging Multimodal Artificial Intelligence to Overcome Barriers to Depression and Anxiety Screening.

• Society of General Internal Medicine (SGIM) California-Hawaii Regional Meeting, San Francisco, CA (2024)

Ma Stephen, Garcia P, Shah S, Smith M, Jeong J, Devon-Sand A, Delahie C, Lin S, Shanafelt T, Pfeffer M, Sharp C. Early Use of Generative AI for Clinical Documentation with DAX Copilot.

• Society of General Internal Medicine (SGIM) California-Hawaii Regional Meeting, San Francisco, CA (2024)

Penmetcha V, Marcotte M, Chauhan Y, Bacong A, Kikuta N, Hung G, Jamal A, Huang R, Kim G, Palaniappan L, Srinivasan M, Sattler A. Racial Disparities in Advance Care Planning: a pre-intervention study of an AI-based risk scoring tool.

• Society of General Internal Medicine (SGIM) California-Hawaii Regional Meeting, San Francisco, CA (2024)

Lin S. How are participants in the digital health ecosystem collaborating to drive the development and adoption of effective AI-enabled healthcare solutions?

• Digital Health Global Summit, Stanford, CA (2024)

Lin S. A Fireside Chat: The Implications of AI for the Future of Primary Care.

• National Primary Care Transformation Summit , Virtual (2023)

Lin S, Smith M, Shah S, Ma S, Shanafelt T, Sharp C, Weimer-Elder B, Kwan L. Panel Session.

• AI + Health , Stanford, CA (2023)

Tsai T, Shah S, Gorrepati K, Genkins J, Han R, Safdi A, Sakata T, Tang K, Sangari A, Sattler A, Devon-Sand A, Sayana A, Smith M, Lin S. Validation of large language AI based patient message classification to automate workflows and reduce inbox burden.

• American Medical Informatics Association (AMIA) Annual Symposium, New Orleans, LA (2023)
• North American Primary Care Research Group (NAPCRG) 51st Annual Meeting, San Francisco, CA (2023)

Lin S. Health equity, workforce burnout and more: is generative AI the magic wand for reducing healthcare cost and improving care delivery?

• Generative AI for Healthcare Summit, Cambridge, MA (2023)

Lin S. The future front door of care: how generative AI will impact primary care physicians.

• Generative AI for Healthcare Summit, Cambridge, MA (2023)

Rikhye R, Liu Y, Sayres R, Liu Y, Lin S, Singh P, Ko J. Differences between patient and clinician submitted images: implications for virtual care of skin conditions.

• American Medical Informatics Association (AMIA) Annual Symposium, New Orleans, LA (2023)
• North American Primary Care Research Group (NAPCRG) 51st Annual Meeting, San Francisco, CA (2023)

Sayres R, Rikhye R, Liu Y, Singh P, Ko J, Lin S. Bridging the gap between community, academia, and industry to understand the utility of an AI-powered dermatology tool among everyday users.

• American Medical Informatics Association (AMIA) Annual Symposium, New Orleans, LA (2023)
• North American Primary Care Research Group (NAPCRG) 51st Annual Meeting, San Francisco, CA (2023)

Lin S. Advancing artificial intelligence and machine learning for the future of primary care and population health.

• North American Primary Care Research Group (NAPCRG) 51st Annual Meeting, San Francisco, CA (2023)

Lin S. Editors of family medicine journals meeting: artificial intelligence in family medicine publishing.

• North American Primary Care Research Group (NAPCRG) 51st Annual Meeting, San Francisco, CA (2023)

Lee J, Shah S, Levine M, Suffoletto J, Devon-Sand A, Lamaigre A, Strasser M, Wegrowski A, Smith M, Lin S. Feasibility and acceptability of a population health management tool with AI/ML risk prediction and clinical decision support.

• North American Primary Care Research Group (NAPCRG) 51st Annual Meeting, San Francisco, CA (2023)

Rikhye R, Sayres R, Liu Y, Liu Y, Lin S, Singh P, Ko J. Does the photograph matter? Comparing the accuracy of an AI-based skin condition classifier on patient versus clinician taken images.

• North American Primary Care Research Group (NAPCRG) 51st Annual Meeting, San Francisco, CA (2023)

Crowell T, Jeong J, Hong G, Devon-Sand A, Smith M, Lin S, Sattler A. Revolutionizing trial recruitment: how a quality improvement approach boosted participant engagement and enrollment rates.

• North American Primary Care Research Group (NAPCRG) 51st Annual Meeting, San Francisco, CA (2023)

Smith M, Lin S. Artificial Intelligence and Machine Learning Bootcamp.

• North American Primary Care Research Group (NAPCRG) 51st Annual Meeting, San Francisco, CA (2023)

Shah S, Wegrowski A, Lemaigre A, Desai P. Enabling Innovation at the Bedside Using STARR-OMOP.

• OHDSI 2023 Global Symposium, East Brunswick, NJ (2023)

Lin S, Sakata T, Sattler A, Hong G, Hayes K, Ho K, Shah S. Artificial intelligence at primary and emergency care interface to improve care delivery.

• North American Primary Care Research Group (NAPCRG) 51st Annual Meeting, San Francisco, CA (2023)

Shah, S. Unlocking Pandora’s Box: Generative AI in Healthcare Event.

• Stanford Masters of Science in Clinical Informatics Management Panel, Stanford, CA (2023)

Sattler A. Leveraging Multimodal Artificial Intelligence to Overcome Barriers to Equitable Depression and Anxiety Screening.

• Stanford University Department of Medicine Grand Rounds, Stanford, CA (2023)

Garcia P, Ma S, Smith M, Shah S. Leveraging generative AI for clinician efficiency.

• User Group Meeting, Verona, WI (2023)

Lin S. The future of primary care and population health with artificial intelligence and machine learning.

• AAFP Board of Directors Meeting, Stanford, CA (2023)
• The Future of AI Conference, Stanford Summer Session, Stanford, CA (2023)
• University Health Network Artificial Intelligence Seminar, Toronto, ON, Canada (2023)

Lin S. Generative AI and the future of primary care: a case study.

• Stanford Generative AI and Medicine Seminar, Stanford, CA (2023)

Srinivasan M, Shah S, Levine M, Suffoletto J, Lee J, Devon-Sand A, Smith M, Lin S. Integrating risk prediction tools with actionable insights into value-based health care.

• Stanford STARR Informatics Summit, Stanford, CA (2023)

Lu J, Sattler A, Wang S, Khaki AR, Callahan A, Fleming S, Fong R, Ehlert B, Li RC, Shieh L, Ramchandran K, Gensheimer MF, Chobot S, Pfohl S, Li S, Shum K, Parikh N, Desai P, Seevaratnam B, Hanson M, Smith M, Xu Y, Gokhale A, Lin S, Pfeffer MA, Teuteberg W, Shah NH. Can advance care planning AI models support better end-of-life care?

• American College of Physicians Annual Meeting, San Diego, CA (2023)

Lin S. Advancing artificial intelligence and machine learning for primary care and population health.

• Virginia Tech Carilion School of Medicine Expert Conversation, Roanoke, VA (2023)

Devon-Sand A, Siegel DH, Hong G, Ko J, Gonzalez M, Smith M, Schaekermann M, Hammel N, Strachan P, Singh P, Sayres R, Lin S, Crowell T, Nguyen T, Muralidharan V, Jeong Y, Liu Y, Liu Y. Bridging the gap between community, academia, and industry to understand the usefulness of an AI-powered dermatology tool among everyday users.

• Stanford 21st Annual Community Health Symposium, Stanford, CA (2023)

Lin S. Advancing artificial intelligence and machine learning for primary care and population health.

• UCSF Department of Family and Community Medicine Research Meeting, San Francisco, CA (2023)

Lin S, Sattler A, James C, Gonzalez A, Sendak M, Evans B. Overcoming key barriers to healthcare provider adoption of AI tools.

• Stanford University AI+Health Online Conference, Stanford, CA (2022)

Lin S, Smith M, Jasik C, Gorrepati K, Srinivasan M, Chang S, Sehgal N, Elliott T, Waldren S, Poon E, Gwynne M, Leroy G. Powering the future of continuous and asynchronous healthcare delivery with AI.

• Stanford University AI+Health Online Conference, Stanford, CA (2022)

Lin S, Shah S, Webster D, McCall C, Ko J, Sanders L, Bedgood D, Gonzalez M, Paul R. The role of community-engaged research and public data in advancing healthcare AI.

• Stanford University AI+Health Online Conference, Stanford, CA (2022)

Lin S, Phillips R, Liaw W, Woodard L, Maier J, Kallenberg G, Mandvi A, Jaen CB, Shi Y. Building AI capacity in primary care: supercharging the foundation of health systems.

• Stanford University AI+Health Online Conference, Stanford, CA (2022)

Lin S. Addressing barriers and facilitating clinical adoption of wearables: primary care perspective.

• Stanford Center for Digital Health Think Tank, Stanford, CA (2022)

Sossenheimer P, Hong G, Devon-Sand A, Lin S. Opportunities and challenges of voice assistants in providing public health information: COVID-19 vaccination.

• NAPCRG’s 50th Annual Meeting, Phoenix, AZ (2022)

Sattler A, Levine M, Hong G, Fitzpatrick J, Lin S. Patient, physician, and clinical pharmacist experiences piloting a remote patient monitoring platform for diabetes management.

• NAPCRG’s 50th Annual Meeting, Phoenix, AZ (2022)

Bedgood M, Devon-Sand A, Lin S, Weng K, Sharp C, Shah S. Data driven interventions to reduce documentation burden.

• NAPCRG’s 50th Annual Meeting, Phoenix, AZ (2022)

Bajra R, Frazier W, Graves L, Jacobson K, Rodriguez A, Theobald M, Lin S. Evaluation of a national telemedicine curriculum for medical students and residents: results from a multi-institutional study.

• NAPCRG’s 50th Annual Meeting, Phoenix, AZ (2022)

Shah S, Levine M, Smith M, Lin S. Reducing emergency department visits and hospitalizations with artificial intelligence in primary care.

• NAPCRG’s 50th Annual Meeting, Phoenix, AZ (2022)

Hong G, McMurchie A, Vue J, Masoudian B, Less J, Sifuentes S, Yanamandra A, Sattler A, Lin S. Trends in pediatric primary care visits during the COVID-19 pandemic.

• NAPCRG’s 50th Annual Meeting, Phoenix, AZ (2022)

Lin S. Meeting the moment: addressing barriers and facilitating clinical adoption of artificial intelligence in medical diagnosis.

• NAM-GAO Artificial Intelligence for Medical Diagnosis Webinar, Washington, DC (2022)

Hayes K, Hong G, Sakata T, Sattler A, Shah S, Smith M, Lin S. Role of future artificial intelligence tools for transitional care between emergency and primary care.

• ACEP Research Forum, San Francisco, CA (2022)

Shieh L, Smith M, Westphal J. AI and collaborative workflows predict and prevent clinical deterioration.

• Vizient Connections Business Summit, Las Vegas, NV (2022)

Sattler A, Smith M. Assessing and implementing AI and machine learning to optimize care.

• Vizient Connections Business Summit, Las Vegas, NV (2022)

Lin S. Toward a national strategy for implementing artificial intelligence and machine learning in primary care.

• STFM’s 55th Annual Spring Conference Research Plenary, Indianapolis, IN (2022)
• Philippine College of Physicians Annual Congress Plenary, Manila, Philippines (2022)
• HIMSS22 Machine Learning & AI for Healthcare Forum Keynote, Orlando, FL (2022)
• Stanford Center for Biomedical Informatics Research Colloquium, Stanford, CA (2022)
• Boston University Family Medicine 25th Anniversary Plenary, Boston, MA (2022)
• American Board of Family Medicine Board of Directors Meeting, Portland, OR (2022)
• Atlantic Health-Overlook Family Medicine 50th Anniversary Plenary, Summit, NJ (2022)

Hong G, Smith M, Lin S. The AI will see you now: feasibility and acceptability of a conversational AI medical interviewing system.

• STFM’s 55th Annual Spring Conference, Indianapolis, IN (2022)

Lin S. Practical considerations for implementing AI/ML predictive models to reduce preventable ED visits and hospitalizations.

• STFM’s 55th Annual Spring Conference, Indianapolis, IN (2022)

Lin S. Reimagining patient portals with AI/ML: relieving the burden on health care teams while maximizing the benefits for patients.

• STFM’s 55th Annual Spring Conference, Indianapolis, IN (2022)

Sattler A, Wong M, Schurgin M, Lin S. Healthcare providers’ perspectives inform development of technology-enabled intra-visit care management tools.

• STFM’s 55th Annual Spring Conference, Indianapolis, IN (2022)

Smith M, Lin S. Use of AI and machine learning for healthcare improvement.

• Stanford Medicine Advanced Course in Improvement Science, Palo Alto, CA (2022)

Bajra R, Fuchs L, Patel M, Teerink D, Jortberg B, Theobald M, Lin S. Test driving STFM’s national telemedicine curriculum: results from a multi-institutional pilot.

• STFM’s 55th Annual Spring Conference, Indianapolis, IN (2022)

Lin S, Chen J, Abraham M, Palm E, Bapu A, Ko M. From auto-diagnosis to auto-documentation: advancing the practice of medicine via AI.

• Stanford University AI+Health Conference (2021)

Lin S, Shieh L, Smith M, Li R, Shah S, Sattler S, Srinivasan M. Predicting clinical deterioration with AI.

• Stanford University AI+Health Conference (2021)

Spitler R, Lungren M, Wall D, Paredes P, Lin S. Challenges and opportunities for AI applications in precision health.

• Stanford University AI+Health Conference (2021)

Li R, Sharp C, Langlotz C, Adler-Milstein J, Smith M, Lin S. Clinical integration of AI.

• Stanford University AI+Health Conference (2021)

Halaas M, Langlotz C, Corrado G, Chandross K, Smith M, Vasanawala S. Academic-industry relations and AI.

• Stanford University AI+Health Conference (2021)

Smith M, Li R, Westphal J, Hong G, Lin S, Shieh L. Detect and save: predicting and preventing clinical deterioration using artificial intelligence.

• NAPCRG 49th Annual Meeting (2021)

Hong G, Smith M, Lin S. The AI will see you now: feasibility and acceptability of a conversational AI medical interviewing system.

• NAPCRG 49th Annual Meeting (2021)

Painter A, Lin S, Rahimi S, Abdulhussein H. Artificial intelligence in primary care and population health.

• AIMed Virtual Clinician Series (2021)

Bazemore A, Lin S, Kueper J, Liaw W. Training clinicians to use artificial intelligence.

• Gulf Coast Cluster for Artificial Intelligence in Healthcare (2021)

Lin S. Predicting clinical deterioration in primary care with AI/ML: practical considerations for translating and implementing predictive models to improve population health.

• AIMI Virtual Symposium (2021)

Lin S. Supercharging primary care: the role of AI/ML in predicting clinical deterioration and improving patient-provider electronic communications.

• Google Health Clinician Series (2021)

Lin S. From code to bedside: why and how family medicine should lead the healthcare AI revolution.

• University of Minnesota Family Medicine Grand Rounds (2021)
• STFM's 54th Annual Spring Conference (2021)
• STFM's 33rd Conference on Practice and Quality Improvement (2021)

Smith M, Sattler A, Hong G, Lin S. Implementing artificial intelligence using quality improvement methods.

• STFM's 54th Annual Spring Conference (2021)
• STFM's 33rd Conference on Practice and Quality Improvement (2021)

Hong G, Sattler A, Smith M, Lin S. Providers' experiences with EHR documentation and attitudes toward AI-assisted documentation.

• STFM's 54th Annual Spring Conference (2021)

Sattler A. Using QI methodology to implement big data solutions to solve clinical problems.

• STARR Lightning Talks (2021)

Lin S, Smith M. Setting a research agenda for the use of artificial intelligence and machine learning in primary care.

• ABFM and CPVHC AI/ML in Primary Care Virtual Summit (2021)

Lin S, Bajra R, Fuchs L, Teerink D, Jortberg B. Development of a national telemedicine curriculum for family medicine.

• AAFP Residency Leadership Summit, Kansas City, MO (2021)

Smith M, Lin S. Implementing artificial intelligence using quality improvement methods. 

• SMCI Affiliates and Faculty Lecture Series, Stanford, CA (2021)

Lin S. From code to bedside: why and how family medicine should lead the healthcare AI revolution. 

• STFM Conference on Medical Student Education (2021)
• Michigan State University College of Human Medicine Family Medicine Department Keynote, East Lansing, MI (2021)

Lin S, Peng L, Chapman W, Waldren S. How 2020 changed family medicine forever. 

• AAFP FMIG National Student Webinar (2020)

Li R, Muthu N, Smith M, Kandaswamy S, Chen J. It's not just a last mile problem: partnering with process improvement and human factors to integrate machine learning into healthcare delivery.

• AMIA Virtual Annual Symposium (2020)

Holdsworth L, Park C, Lin S. The potential use of artificial intelligence for pre-visit planning: findings from an environmental scan.

• NAPCRG's 48th Annual Meeting, San Francisco, CA (2020)

Trounce MB, Lin S, Hyams G. Disaster preparedness and lessons learned from the first wave of the COVID-19 pandemic.

• Stanford Medicine-Rambam Health Care Campus Collaboration Symposium (2020)

North S, Lin S, Clancy N, Suri R. Implementing and optimizing virtual care in diverse settings during a pandemic and beyond.

• AAFP's Family Medicine Experience (FMX) Annual Meeting, Chicago, IL (2020)

Lin S. Virtual patient care and telemedicine.

• STFM's Conference on Practice and Quality Improvement, St. Louis, MO (2020)

Sattler A, Smith M. From code to bedside: implementing artificial intelligence using quality improvement methods.

• Quality Improvement Scholarly Concentration Program MED 210: Principles and Practice of Healthcare Quality Improvement, Stanford, CA (2020)

Li R, Smith M. Building AI-enabled systems for patient care at Stanford.

• SMCI Affiliates and Faculty Lecture Series, Stanford, CA (2020)

Bhatia P, Shivade C, Diab M, Wallace B, Gangadharaiah R, Du N, Shafran I, Lin S. Natural language processing for medical conversations.

• Association for Computation Linguistics' 58th Annual Meeting, Seattle, WA (2020)

Hong G, Wang C, Less J, Erbasi N, Folcarelli A, Lin S. AI voice assistants' responses to questions about cancer screening.

• STFM's 53rd Annual Spring Conference, Salt Lake City, UT (2020)
• Stanford Innovations in Medical Education Conference, Stanford, CA (2020)
• Stanford COMET Research Symposium, Stanford, CA (2020)

Lin S. Artificial intelligence and machine learning in primary care.

• AAFP's AI/ML in Primary Care Executive Roundtable, San Jose, CA (2020)

Lin S. The present and future of team documentation: the role of patients, families, and AI.

• Cambridge Healthtech Institute's Digital Health Conference, San Francisco, CA (2020)
• American College of Cardiology's Colloquium on AI, San Francisco, CA (2019)
• Stanford Medicine's EHR National Symposium, Stanford, CA (2019)

Lin S. Ten ways artificial intelligence will transform primary care: implications for medical education.

• STFM's 52nd Annual Spring Conference, Toronto, Ontario (2019)
• STFM's 45th Conference on Medical Student Education, Jacksonville, FL (2019)
• Stanford Clinical Summer Internship, Stanford, CA (2019)

AI can predict health deterioration in hospital patients

Earth, April 30, 2024

AI ‘improves’ nurse–doctor collaboration in spotting deterioration

Nursing Times, April 19, 2024

AI facilitating collaboration among Stanford nurses and physicians

Healthcare Finance, April 18, 2024

AI Facilitating Collaboration Among Stanford Nurses And Physicians

Health Reporter, April 17, 2024

Hospital uses AI model to improve physician–nurse collaboration

Hospital and Healthcare, April 17, 2024

AI facilitates collaboration between physicians and nurses for improved patient care

MSN, April 17, 2024

AI facilitates collaboration between physicians and nurses for improved patient care

The Medical News, April 16, 2024

How AI improves physician and nurse collaboration

EurekAlert!, April 16, 2024

AI Enhances Collaboration Between Doctors and Nurses

Mirage News, April 16, 2024

AI boosts physician, nurse collaboration at Stanford

Becker’s Hospital Review, April 16, 2024

How AI improves physician and nurse collaboration to boost patient care

MedicalXpress, April 16, 2024

臨床悪化AIはケアエスカレーションリスクの軽減に貢献

Nipponese.news, April 6, 2024

Arnold Schwarzenegger's Surgery; Bird Flu in U.S. Milk; Light Pollution and Strokes

MedPage Today, March 26, 2024

Less burnout for doctors, better clinical trials, among the benefits of AI in health care

MSN, April 23, 2024

Less burnout for doctors among the benefits of AI in health care

Swift Telecast, April 23, 2024

Less burnout for doctors, better clinical trials, among the benefits of AI in health care

NBC Chicago, April 23, 2024

Less burnout for doctors, better clinical trials, among the benefits of AI in health care

NBC4, April 23, 2024

Less burnout for doctors, better clinical trials, among the benefits of AI in health care

CNBC, April 23, 2024

Less burnout for doctors, better clinical trials, among the benefits of AI in health care

NBC Bay Area, April 23, 2024

AI-Generated Responses to Patient Portal Messages Are Feasible, Usable

Drugs.com, March 25, 2024

AI-generated responses to patient portal messages are feasible, usable

MedicalXpress, March 25, 2024

AI-Generated Responses to Patient Portal Messages Are Feasible, Usable, Health Day

Health Day, March 25, 2024

AI May Help Docs Reply to Patient’s Portal Messages

Pediatric News, March 21, 2024

Stanford lightens cognitive EHR burden for physicians

Becker’s Hospital Review, March 20, 2024

New Paper Outlines Draft Code of Conduct to Ensure That the Use of AI In Health and Health Care Meets Its Full Potential Reliability and Safely

National Academy of Medicine News, April 8, 2024

Google Health, Stanford Medicine unveil open-access dataset of diverse dermatology images

FIERCE Healthcare, March 20, 2024

Google reveals new offerings, advancements in LLMs/AI during Check Up event

mobihealthnews, March 19, 2024

Google Health shares generative AI, health equity research updates

HealthITAnalytics, March 19, 2024

Unleashing the power of AI in Primary Care

Stanford Medicine Annual Report, October 19, 2023

Report calls for U.S. to align equity and emerging science, technology, and innovation in health and medicine

National Academy of Medicine, August 22, 2023

Stanford Medicine wins HIMSS Davies Award of Excellence

Stanford Medicine News Center, August 14, 2023

Artificial intelligence and machine learning: what physician leaders need to know

Physician Leadership Journal, May 8, 2023

ChatGPT answers patients’ online questions better than real doctors, study finds

Gizmodo, April 28, 2023

The doctor is AI

Politico, April 27, 2023

Lack of trust in AI-led electronic health systems remains

Medical Device Network, March 8, 2023

GAO, NAM release two-part report on AI for medical diagnostics

American College of Radiology, October 6, 2022

AI in family medicine

The Medicine & Machine Learning Podcast, August 19, 2022

How to put AI tools into the hands of primary care physicians  

The Future of Everything, August 18, 2022

Artificial intelligence offers hope in reducing sepsis deaths  

Politico Pro, July 21, 2022

The ethics of AI in health care  

WBUR On Point, June 3, 2022

How AI is transforming health care  

WBUR On Point, May 27, 2022

Docs find new and better ways to cut EHR doucumentation time  

Medscape Medical News, May 5, 2022

How cardiac arrest can be predicted by new form of artificial intelligence  

Healthline, April 7, 2022

AI has the potential to dramatically transform primary care  

Healio, February 4, 2022

Telemedicine curricuum gets high marks in pilot projects 

STFM, February 9, 2022

Q&A: Artificial intelligence has the potential to dramatically transform primary care

Healio, February 4, 2022

Are voice assistants a reliable source of health information?  

HAI, November 22, 2021

AI clinical use cases beyond imaging 

Health Evolution, November 10, 2021

AI in health care: Four challenges preventing wider clinical adoption

Health Evolution, November 3, 2021

Accuracy of voice assistants for medical information varies

Healio, November 2, 2021

We need to see more AI models and algorithms deployed in the real world

Artificial Intelligence in Medicine, October 11, 2021

Building unbiased AI

Modern Healthcare, September 21, 2021

Amazon vs. Apple vs. Google vs. Microsoft: which voice assistant is most effective for health screenings?

Becker's Hospital Review, September 16, 2021

Steven Lin, MD, selected as 2021 NAM PUFFER/ABFM Fellow

ABFM, August 5, 2021

Family medicine departments and programs to pilot STFM telemedicine curriculum

STFM, August 1, 2021

Google launches a new medical app - outside the U.S.

Wired, June 23, 2021

Google's new tool will identify skin conditions - what will people do with that information?

The Verge, May 24, 2021

Google announces new AI app to diagnose skin conditions

Forbes, May 21, 2021

Google unveils artificial intelligence tool for dermatology

Health IT Analytics, May 20, 2021

Google will help you identify that suspicious mole or rash

CNET, May 19, 2021

Google introduces AI tool to detect skin conditions

Medical Device Network, May 19, 2021

Google debuts AI-powered app to help consumers identify common skin conditions

Fierce Healthcare, May 19, 2021

Google's new AI dermatologist can help you figure out what that mole is

Fast Company, May 18, 2021

Google AI tool can help patients identify skin conditions

BBC News, May 18, 2021

Google debuts an AI-powered tool to analyze skin conditions

STAT, May 18, 2021

Google unveils tool for checking skin conditions

Med City News, May 18, 2021

Google announces health tool to identify skin conditions

The Verge, May 18, 2021

Google gives a sneak peek into its new AI dermatology assistant

Mobi Health News, May 18, 2021

AI assists doctors in interpreting skin conditions

Google The Keyword, April 28, 2021

How Microsoft's new $16B acquisition could bring AI to your doctor's office

Fast Company, April 14, 2021

Google is exploring a health record tool for patients

STAT, April 9, 2021

STFM task force releases learning objectives for national telemedicine curriculum

Annals of Family Medicine, January 2021

Using AI to improve clinicians' experiences with the electronic health record

Stanford Department of Medicine, January 12, 2021

Introducing HEA₃RT

Stanford Department of Medicine, November 17, 2020

Will telehealth remain after COVID? Should it?

WebMD, August 28, 2020

How AI is helping doctors triage patients in urgent care

Fortune, July 28, 2020

An experiment in end-of-life care: tapping AI’s cold calculus to nudge the most human of conversations

STAT, July 1, 2020

STFM forms task force to develop a national telemedicine curriculum

Annals of Family Medicine, May 2020

Deeper reading: ten ways artificial intelligence will transform primary care

AI Med, March 2, 2020

Battling physician burnout with medical scribes and easy access to legacy data

Harmony Healthcare IT, November 25, 2019

Google says its AI detects 26 skin conditions as accurately as dermatologists

Venture Beat, September 13, 2019

10 areas where artificial intelligence can revolutionize primary care

Health Leaders, September 5, 2019

How will AI-triage tools help reduce 70% of unnecessary ER visits?

Netta Levran, July 21, 2019

3 promises healthcare AI will almost surely keep

AI in Healthcare, May 30, 2019

Physician viewpoint: AI will reduce healthcare costs, improve physician wellbeing

Becker's Health IT, May 29, 2019

Steven Lin on ensuring AI enhances the human connection in medicine

Stanford Medicine News Center, May 28, 2019

Google expands EHR project leveraging AI, voice recognition

EHR Intelligence, June 18, 2018

Google looks to utilise AI to further overhaul the GP-patient relationship

Healthcare Global, June 18, 2018

Google beefing up efforts to develop AI system for clinical notes to “unshackle” doctors from EHRs

Healthcare IT, June 18, 2018

Google ramps up hiring for new medical AI project

Silicon Valley Business Journal, June 15, 2018

Google seeking talent in voice tech to improve doctor-patient experience

Healthcare Dive, June 15, 2018

Google is hiring people to work on improving visits to the doctor’s office with voice and touch technology

Healthcare Innovation, June 15, 2018

Google wants to bring voice tech to doctors

PYMNTS, June 15, 2018

Google is hiring people to work on improving visits to the doctor’s office with voice and touch technology

CNBC, June 14, 2018

Google, Stanford unite to create “digital scribe” to assist physicians in documenting EHRs

Physicians News Network, December 4, 2017

Google, Stanford pilot “digital scribe” as human alternative

Healthcare IT Today, November 29, 2017

Stanford, Google team up to streamline EHR documentation

Becker's Health IT, November 22, 2017

Stanford and Google team up on digital scribe pilot project

Healthcare Innovation, November 22, 2017

Understanding medical conversations

Google AI Blog, November 21, 2017

Stanford and Google will collaborate on digital scribes for docs

Digital Commerce 360, November 21, 2017

Stanford-Google digital-scribe pilot study to be launched

SCOPE, November 21, 2017