The AI for Health Institute (AIHealth) brings together AI researchers and clinical investigators to forge new paths to solve significant health problems with advanced data-driven tools.
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AIHealth Symposium
Friday, October 18, 2024
More details to come
News
Deep learning models can be trained with limited data
Ulugbek Kamilov, graduate students, develop method that could reduce errors in computational imaging
DEMIST artificial intelligence tool may enhance usability of medical images
A deep-learning-based image denoising method developed by Abhinav Jha may improve detection of myocardial defects in low-count SPECT scans
What Your Fitness Tracker Says About Your Mental Health
Chenyang Lu delves into innovative research utilizing AI and wearable technology to detect depression and anxiety disorders.
New machine learning method can better predict spine surgery outcomes
Researchers at Washington University in St. Louis combine artificial intelligence and mobile health data to better predict recovery from lumbar spine surgery.
How AI can boost cancer, depression and perioperative care
IEEE Fellow Chenyang Lu shows where artificial intelligence can be deployed clinically to improve patient outcomes – and discusses the challenges and future of AI throughout healthcare
Can AI Be Applied To Revolutionize Healthcare And Medical Outcomes?
Philip Payne discusses the Power of AI in Medicine.
Talk: AI for Health with Wearables
Chenyang Lu to deliver keynote speech at CPS-IoT Week, the premier event on cyber-physical systems and Internet of Things.
AI-assisted breast-cancer screening may reduce unnecessary testing
Using AI to help doctors read mammograms reduces follow-up testing without missing cancer cases, simulation shows