Stanford University
Showing 581-590 of 1,598 Results
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Eduardo Pontes Reis
Affiliate, Rad/Pediatric Radiology
BioI'm a visiting scholar at Stanford AIMI Center, working in the intersection of Artificial Intelligence and Medicine. My purpose is to contribute to our understanding of intelligence. And our best chance to achieve this is through AI.
Research highlights:
- Published BRAX, the Brazilian Chest X-ray Dataset - https://www.nature.com/articles/s41597-022-01608-8
- Open-sourced the PyTorch implementation of ConVIRT (Y Zhang et al), a contrastive learning method for radiologic images and text (before CLIP) - https://github.com/edreisMD/ConVIRT-pytorch
- Released Brain Hemorrhage Annotations - Brain Hemorrhage Extended - BHX (https://physionet.org/content/bhx-brain-bounding-box)
At Hospital Israelita Albert Einstein:
- Started the Health Story project, a medical history timeline to support research and a more personalized clinical practice
- Ran the development of AI algorithms for diseases of national importance: Tuberculosis, COVID, Melanoma and Head CT -
Jenna Reisler
Affiliate, Department Funds
Fellow in Peds/Clinical InformaticsBioJenna Reisler, MD is an Internal Medicine-trained Clinical Informatics Fellow passionate about designing clinical decision support tools that reduce clinician burden and improve patient outcomes. Her work spans AI-integrated CDS for falls prevention, human-centered EHR workflow design, and quality improvement in ambulatory care. Recent projects include a co-investigator role on an EPIC-based falls prevention CDS tool published in Applied Clinical Informatics, and co-PI of an ACGME Back to Bedside–funded home visit program integrating social determinants of health into residency training.
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Allan L. Reiss
Howard C. Robbins Professor of Psychiatry and Behavioral Sciences and Professor of Radiology
Current Research and Scholarly InterestsMy laboratory, the Center for Interdisciplinary Brain Sciences Research (CIBSR), focuses on multi-level scientific study of individuals with typical and atypical brain structure and function. Data are obtained from genetic analyses, structural and functional neuroimaging studies, assessment of endocrinological status, neurobehavioral assessment, and analysis of pertinent environmental factors. Our overarching focus is to model how brain disorders arise and to develop disease-specific treatments.