Differences
This shows you the differences between two versions of the page.
| Both sides previous revision
Previous revision
Next revision
|
Previous revision
Next revision
Both sides next revision
|
start [2022/09/23 15:47]
nigam |
start [2023/02/20 13:57]
nigam |
| * [[:biomedin225|BIOMEDIN 225]], taught for the MCiM program explores how to use electronic health records (EHRs) and other patient data in conjunction with recent advances in artificial intelligence (AI) and evolving business models to improve healthcare. | * [[:biomedin225|BIOMEDIN 225]], taught for the MCiM program explores how to use electronic health records (EHRs) and other patient data in conjunction with recent advances in artificial intelligence (AI) and evolving business models to improve healthcare. |
| * [[https://www.coursera.org/specializations/ai-healthcare/|AI in Healthcare Specialization on Coursera]], created in partnership with the [[https://healtheducation.stanford.edu/|Stanford Center for Health Education]]. The course reviews the current and future applications of AI in healthcare with the goal of learning to bring AI technologies into the clinic safely and ethically. | * [[https://www.coursera.org/specializations/ai-healthcare/|AI in Healthcare Specialization on Coursera]], created in partnership with the [[https://healtheducation.stanford.edu/|Stanford Center for Health Education]]. The course reviews the current and future applications of AI in healthcare with the goal of learning to bring AI technologies into the clinic safely and ethically. |
| * [[https://stanfordmlgroup.github.io/programs/aihc-bootcamp/|AI in Healthcare Bootcamp]], provides students an opportunity to do cutting-edge research at the intersection of AI and healthcare | * [[https://online.stanford.edu/courses/xbiomedin215-machine-learning-projects-healthcare | Machine Learning Projects in Healthcare]], where you work through interactive exercises and case studies, attend live webinars, receive ongoing feedback from the course team, and collaborate with your fellow learners to gain the real-world skills you need to run your own machine learning projects. |
| | * [[https://stanfordmlgroup.github.io/projects/aihc/|AI in Healthcare Bootcamp]], provides students an opportunity to do cutting-edge research at the intersection of AI and healthcare |
| * Miscellaneous [[:other_talks|Talks]], [[:seminars|Seminars]] | * Miscellaneous [[:other_talks|Talks]], [[:seminars|Seminars]] |
| |
