Stanford Webinar - How Artificial Intelligence Can Improve Healthcare

  Рет қаралды 26,625

Stanford Online

Stanford Online

Жыл бұрын

Learn more: stanford.io/3Ci61RY
Stanford Professor of Medicine Dr. Nigam Shah explains how a usefulness analysis can help to convince stakeholders of the impact of machine learning in healthcare. He provides examples of use cases, and answers questions pertaining to application in different scenarios, the future of the technology, and more.
You Will:
- Learn about various tools that can be beneficial in completing usefulness analysis in healthcare.
- Understand how existing frameworks can assist in testing usefulness of predictive models in practice
- Go through an example of a usefulness analysis to see how predictive models can affect patient care.
#aihealthcare #aihealth

Пікірлер: 5
@kragler93
@kragler93 6 ай бұрын
AI showing its head in healthcare systems seemed so far away, but it’s here! We cannot resist change. Thank you Dr. Nigam Shah. #AIHealth
@johnsardella8102
@johnsardella8102 Жыл бұрын
Outstanding Prof, teacher, & mentor.
@aprohith1
@aprohith1 Жыл бұрын
Great insights.. Thank you.!
@yonslk3972
@yonslk3972 Жыл бұрын
9:30 what's next?
Stanford Webinar - How to Analyze Research Data: Kristin Sainani
58:53
Stanford Online
Рет қаралды 18 М.
Artificial Intelligence and the Future of Healthcare and Biotech
40:03
Flagship Pioneering
Рет қаралды 10 М.
Универ. 13 лет спустя - ВСЕ СЕРИИ ПОДРЯД
9:07:11
Комедии 2023
Рет қаралды 3,4 МЛН
WHY IS A CAR MORE EXPENSIVE THAN A GIRL?
00:37
Levsob
Рет қаралды 20 МЛН
Facebook Atardi 130624
1:10:52
Mariano Luis Heyden
Рет қаралды 32
Augmented intelligence: Pros and cons of AI in health care and clinical workflow optimization
14:10
Stanford's FREE data science book and course are the best yet
4:52
Python Programmer
Рет қаралды 652 М.
AI Hospitals: A Step Towards the Future - Science View
28:06
NHK WORLD-JAPAN
Рет қаралды 216 М.
The future of AI in medicine  | Conor Judge | TEDxGalway
14:19
TEDx Talks
Рет қаралды 32 М.
Machine Learning - Supervised VS Unsupervised Learning
5:04
Cognitive Class
Рет қаралды 267 М.
11c: Bootstrapping to estimate standard errors and confidence intervals
12:51
Iain's Math & Stat Screencasts
Рет қаралды 10 М.