Media
-
Stanford taps AI to reshape billing: What were the results?
-
Doctors are turning medical generative AI into a booming business
-
AI Use Cases in Healthcare: Democratizing AI Throughout the Enterprise
-
Stanford Deploys Nuance AI-Powered Clinical Documentation
-
15 health systems among best places to work in IT for '24
-
The tech getting every C-suite leader excited
-
Stanford Health uses AI to reduce clinical deterioration events
-
Stanford, Mayo + more join Epic's interoperability pledge
-
Stanford to roll out ChatGPT-like feature for physicians next week
-
Clinical Informatics and Adopting Healthcare Technology
-
ChatGPT Works — Do We Really Need To Know Why?
-
Digital transformation: How the trend is shaping US healthcare
-
The Digital Healthcare Revolution
-
Stanford Health fully digitizes pathology orders
-
‘A Quantum Leap’: How Health Systems Are Updating Patient Rooms to Improve Experiences
-
'Whenever there's chaos, there's opportunity,' says Stanford Health Care chief data scientist Dr. Nigam Shah
Case Studies & White Papers
-
Artificial Intelligence–Generated Draft Replies to Patient Inbox Messages
-
To do no harm — and the most good — with AI in health care
-
A Nationwide Network of Health AI Assurance Laboratories
-
Creation and Adoption of Large Language Models in Medicine
-
DEPLOYR: a technical framework for deploying custom real-time machine learning models into the electronic medical record
-
DEPLOYR: A technical framework for deploying custom real-time machine learning models into the electronic medical record
-
A framework to identify ethical concerns with ML-guided care workflows: a case study of mortality prediction to guide advance care planning
-
Clinical utility gains from incorporating comorbidity and geographic location information into risk estimation equations for atherosclerotic cardiovascular disease
-
APLUS: A Python library for usefulness simulations of machine learning models in healthcare
-
User-centred design for machine learning in health care: a case study from care management
-
Considerations in the reliability and fairness audits of predictive models for advance care planning
-
Assessment of Adherence to Reporting Guidelines by Commonly Used Clinical Prediction Models From a Single Vendor
-
Predicting malnutrition from longitudinal patient trajectories with deep learning
-
Rapid Deployment of Whole Slide Imaging for Primary Diagnosis in Surgical Pathology at Stanford Medicine: Responding to Challenges of the COVID-19 Pandemi
