17 AI Innovations at Stanford University School of Medicine

The new issue of Stanford Medicine?Magazine explores the challenges and promise of AI for medical care, research, and education. One article entitled Medicine’s AI Boom describes innovative AI projects at Stanford. Here's a list of 17 AI innovations at Stanford University School of Medicine.

1. Cross-correlating massive datasets: feeding medical images and clinical notes into deep neural networks with the goal of detecting disease and eliminating diagnostic errors that could occur with only a doctor’s assessment.
2. Synthesizing medical data in ways that humans cannot: algorithms at the intersection of genetics and cardiology to improve the detection of cardiac risk.
3. Using AI to enable more precise and anticipatory care: analyzing genomic data to pinpoint the best treatment for each breast cancer patient and systems biology cancer research that bridges genomics, biocomputation, imaging, and population sciences to decipher properties of cancer progression.
4. How LLMs can be used to communicate with patients: Can AI support tasks like note taking so doctors can be more engaged with their patients? Can AI help organize patient care records more efficiently?
5. Generative AI tool based on ChatGPT automatically drafts responses to patients’ medical advice requests for clinicians to review, edit and send.
6. AI’s applications for drug discovery and how those drugs will work on patients and along the ethical implications.
7. The intersection of AI in medical imaging and the human genome: an opportunity for discovery.
8. How AI helps pediatricians check heart health: quicker, easier, heart pumping assessment for children.
9. Better photos of skin for telemedicine: this app could improve patient photos and expedite treatment.
10. Chest scans change patients’ minds: AI analyzed repurposed chest CT images to identify calcium buildup in patients’ arteries, encouraging lifestyle changes.
11. Could AI rival an eye specialist? An AI model could predict whether patients will need eye surgery to prevent vision loss.
12. Improving equity in heart attack screening: Together, humans and AI could screen for heart attacks more precisely and equitably.
13. AI could improve surgery performance: AI could act as an expert colleague to assess surgery skills.
14. AI captures why some people don't use heart medication: By flagging reasons patients aren’t on heart medications, AI could inform equitable solutions.
15. The Morpholome: AI helps reveal unique cell shapes, informing therapies
16. Automating inclusive trials: AI helps broaden clinical trial pools so they are larger, more inclusive.
17. AI guides protein evolution: An algorithm can speed up evolution of proteins to target viruses, diseases

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Copyright ? 2024 Margaretta Colangelo. All Rights Reserved.

This article was written by?Margaretta Colangelo. ?Margaretta is a leading AI analyst who tracks significant milestones in AI in healthcare. She's consulting at AI healthcare companies and she writes about some of the companies she's consulting with. Margaretta serves on the advisory board of the AI Precision Health Institute at the University of Hawai?i?Cancer Center?@realmargaretta