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How Do We Ensure that Healthcare AI is Useful

WebA fleshed-out usefulness analysis of the ASCVD risk equation would consider the three parts of the graphic above and find that it is useful, Shah says. First, the model …

Actived: 7 days ago

URL: https://hai.stanford.edu/news/how-do-we-ensure-healthcare-ai-useful

The Open-Source Movement Comes to Medical Datasets

WebIn a move to democratize research on artificial intelligence and medicine, Stanford’s Center for Artificial Intelligence in Medicine and Imaging (AIMI) is dramatically …

Category: Medicine Go Health

Tracking the Shift Toward Digital Health

WebFrom wearable trackers to mental health chatbots to AI-based cancer screening, digital health now supports clinicians in decision making, accurate diagnosis, …

Category: Cancer Go Health

How Foundation Models Can Advance AI in Healthcare

WebHow Foundation Models Can Advance AI in Healthcare. This new class of models may lead to more affordable, easily adaptable health AI. The past year has seen …

Category: Health Go Health

Safe, Ethical, and Cost-Effective Use of AI in Healthcare:

WebFaculty Directors. Nigam Shah: Dr. Shah is the Co-Director of the Stanford Center for Artificial Intelligence in Medicine and Imaging, Professor of Medicine (Biomedical …

Category: Medical, Medicine Go Health

Visiting Scholars Bridge Gap Between Health Care Practice and AI …

WebA new collaboration between Stanford HAI and the Mayo Clinic will help two scholars explore the use of AI in neurology and cardiology. Mayo Clinic physicians Chieh …

Category: Health Go Health

Healthcare Stanford HAI

WebStanford Medicine and Stanford HAI Announce RAISE-Health, a Responsible AI Initiative. Announcements, Augment Human Capabilities, Healthcare, Human Impact, Intelligence. …

Category: Medicine Go Health

Ensuring the Fairness of Algorithms that Predict Patient Disease Risk

WebIn a new study, Stanford researchers examined important clinical guidelines for cardiovascular health that advise the use of a risk calculator to guide prescription …

Category: Health Go Health

Who’s at Fault when AI Fails in Health Care

WebWho’s at Fault when AI Fails in Health Care? Hospitals are increasingly adopting AI tools for patient care. They need to be thinking about liability. Suppose a …

Category: Health Go Health

A Blueprint for Using AI in Psychotherapy

WebIn a new working paper with seven co-authors who range in disciplinary background from psychology to computer science, Johannes Eichstaedt and Elizabeth …

Category: Health Go Health

Doctors Receptive to AI Collaboration in Simulated Clinical Case

WebThe study’s findings go against the conventional wisdom that doctors may be resistant, or even antagonistic, to the introduction of AI in their workflows. “This study …

Category: Health Go Health

Using NLP to Detect Mental Health Crises

WebUsing natural language processing, the team developed a machine learning (ML) system called Crisis Message Detector 1 (CMD-1) that can identify and auto-triage …

Category: Health Go Health

AI + Health Conference

WebAt this wide-ranging online event, the Stanford Institute for Human-Centered Artificial Intelligence (HAI), Center for Artificial Intelligence in Medicine and Imaging …

Category: Medicine Go Health

Smarter Hospitals: How AI-Enabled Sensors Could Save Lives

WebIn a hospital setting, a thermal sensor above an ICU bed would enable the governing AI to detect twitching or writhing beneath the sheets, and alert clinical team …

Category: Health Go Health

Policy Brief Understanding Liability Risk from Healthcare AI

WebIn our paper, “ Understanding Liability Risk from Using Healthcare Artificial Intelligence Tools ,” we examined the challenges courts face in dealing with cases …

Category: Health Go Health

Generating Medical Errors: GenAI and Erroneous Medical References

WebLarge language models (LLMs) are infiltrating the medical field. One in 10 doctors already use ChatGPT in day-to-day work, and patients have taken to ChatGPT …

Category: Medical Go Health

Understanding Key Takeaways Liability Risk from Healthcare AI

Web5 Policy Brief Understanding Liability Risk from Healthcare AI 1. The likelihood and nature of errors (based on the AI model, its training data, its task design, and

Category: Health Go Health

Improving AI Software for Healthcare Diagnostics

Web2 Policy Brief: Improving AI Software for Healthcare Diagnostics SPECIAL HEALTHCARE SERIES doing more to build trust in these systems; we recommend changes that need to …

Category: Health Go Health