Herbert Wertheim College of Engineering
Intelligent Health Lab (i-Heal)
Led by Parisa Rashidi · Biomedical Engineering
What we study
The lab uses machine learning and sensors to monitor patients in hospitals and at home. They develop tools for ICU care and mental health tracking, aiming to improve patient outcomes with real-time data.
What working here is like
- Computational
- Clinical
- Human participants
- Coding required
- Projects
- 2
- Papers
- 4
Current projects
Autonomous ICU monitoring
Developing tools for real-time patient assessment in intensive care units.
Community mental health monitoring
Creating wearable tech to track cognitive and mental health in everyday settings.
Summaries are written by AI in plain language from public symposium abstracts and may be imperfect.
Recent papers, explained
- MySurgeryRisk Model Predictions of Postoperative Complications and Mortality
2026 · JAMA Surgery
Checks if a tool for predicting surgery risks works well in different hospitals.
- Reinforcement Learning for Intraoperative Hypotension Management with Consideration to Postoperative Acute Kidney Injury
2026 · Kidney360
Uses a computer model to guide fluid and drug use during surgery to prevent low blood pressure and kidney damage.
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- Backward Incline Walking in Stroke Rehabilitation: A Pilot Feasibility Study
2026 · Restorative Neurology and Neuroscience
Tests whether backward incline walking on a treadmill is safe and acceptable for people with chronic stroke.
- Alzheimer’s Disease and Related Dementias is Associated with Worse Clinical and Patient-centered Outcomes in Patient Admitted for Heart Failure
2026 · Dementia and Geriatric Cognitive Disorders
Compares heart failure outcomes in patients with and without Alzheimer’s.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
Parisa Rashidi hasn't set up this page yet. Their UF Scholars profile lists their publications.