CPH in the News
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HACHI for Clinicians and Data Scientists
Jean Feng, PhD, and collaborators featured in UCSF News and Nature have developed HACHI, a new model for developing tools that pairs AI’s ability to rapidly analyze medical records with the expertise of clinicians.
Using Wearables Data in the Clinic
Ida Sim, MD, PhD, featured in STAT News, sharing her perspective on the value of wearables data and the challenges of integration in the clinic.
Reducing Breast Cancer Screening Time for High-Risk Women
Adam Yala, PhD, and Maggie Chung, MD, featured in UCSF News for their latest Nature publication, showing that the model created by Yala reduced the wait time for a diagnostic evaluation from several weeks to about an hour.
Researchers Discover New Way to Detect Sudden Cardiac Death Risk
Ziad Obermeyer, MD, CPH PhD student, Alex Schubert, and collaborators featured in Berkeley News for their latest Nature publication, using more than 440,000 EKGs from Sweden to train an artificial intelligence model to analyze the spikes and waveforms produced by the heart’s electrical currents.
Multiview AI Approach Can Improve Diagnostic Accuracy for Cardiac Imaging
Read UCSF Health featuring Geoff Tison, MD, MPH, sharing their demonstration that showed deep learning with ECGs improves detection of major cardiac conditions with full results published in Nature Cardiovascular Research
Marina Sirota, PhD, featured in The Resilient Brain Documentary
Watch The Resilient Brain featuring Marina Sirota, PhD (around minute 52), sharing her Alzheimer’s Disease and drug discovery research.
