College of Medicine
Bihorac Lab
Led by Azra Bihorac · Medicine
What we study
The lab studies trustworthy AI for medicine, focusing on fairness, reproducibility, and ethics in healthcare. They use AI to improve patient care in nephrology and critical care.
What working here is like
- Computational
- Clinical
- Coding required
- Projects
- 5
- Papers
- 5
Current projects
Artificial Intelligence Passport for Biomedical Research (AIPassportBMR)
A digital learning program to train researchers in AI for biomedical and clinical research.
Patient-Focused Collaborative Hospital Repository Uniting Standards (CHoRUS)
A repository to standardize and share patient data for equitable AI development.
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Explainable, Fair, Reproducible and Collaborative Surgical Artificial Intelligence (XAI-IDEALIST)
AI tools to assess surgical risks with transparent, fair, and reproducible methods.
Multicenter Implementation of an Electronic Decision Support System for Drug-Associated AKI (MEnD-AKI)
An AI system to predict and prevent kidney damage from drugs.
ADAPT: Autonomous Delirium Monitoring and Adaptive Prevention
AI to monitor and prevent delirium in critical care patients.
Summaries are written by AI in plain language from public symposium abstracts and may be imperfect.
Recent papers, explained
- Perspective: Taxonomy of Kidney Diseases and Disorders Related to Nephrotoxic Drug Exposure in Hospitalized Patients
2026 · Mayo Clinic Proceedings
- MySurgeryRisk Model Predictions of Postoperative Complications and Mortality
2026 · JAMA Surgery
Tests whether a surgical risk model works well across different hospitals without losing accuracy.
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- Reinforcement Learning for Intraoperative Hypotension Management with Consideration to Postoperative Acute Kidney Injury
2026 · Kidney360
Develops a reinforcement learning model to guide fluids and vasopressors during surgery to avoid hypotension and kidney injury.
- Language Models for Value-Informed Proxy Decision Support
2026 · NEJM AI
Tests whether large language models can help proxies choose treatments that match incapacitated patients' values.
- Artificial intelligence across the medical education continuum: institutional, learning, readiness and safety systems
2026 · npj Digital Medicine
Reviews how artificial intelligence is used in medical education, focusing on institutional, learning, and safety systems.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
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