
Artificial Intelligence in Critical and Acute Care Medicine
We are idealists, problem-solvers, and explorers of digital health and AI. Bio-AI-logistics
our missions & goals
EXPAND
AI-augmented diagnostic, prognostic, and clinical decision-making
Expand the research scope into AI-augmented diagnostic, prognostic, and clinical decision-making in a safe, secure, and ethical manner using a trustworthy, reproducible, sustainable, and ethical AI framework for a wide range of critical and acute illnesses.

Improve
Patient Care
Improve patient care through innovative research translation for quality improvement, patient safety, and development of benchmark metrics.

EDUCATE
The next generation AI researchers
Educate the next generation of diverse transdisciplinary AI researchers. We will extend collaboration between UFHealth, UF College of Medicine and College of Engineering, and the broader UF campus to include faculty, house-staff, and students across disciplines and create programs for training and research.

BUILD
National leadership
Build a national leadership for multicenter AI and data science initiatives and share publicly available datasets and AI platforms in this domain.

FOSTER
Sustainability with external fundraising
Foster sustainability with external fundraising through entrepreneurship initiatives, philanthropy, and community engagement and advocacy.

our contributions
$18.7 Million IC3 core faculty research portfolio
$60 Million Research portfolio in collaboration
260 More than 260 peer-reviewed manuscripts
16000 Manuscripts have yielded over 16,000 Citations
WE ARE IN THE news
RASHIDI RECEIVES HWCOE 2022 FACULTY AWARD FOR…
Dr. Parisa Rashidi Dr. Parisa Rashidi, associate professor & J. Crayton Pruitt Family Term Fellow, has been selected to receive the Herbert…

Natural Language Processing: Analyzing Clinical…
Presentation made by Dr. Parisa Rashidi https://www.youtube.com/watch?v=njIDXjc-8sY&t=4s In contrast to the structured clinical data…

JOIN US! 2022-Fulbright-awareness-week
Fulbright Visiting ScholarJessica Sena LECTURE TITLE:THE ADVENTURES OF A BRAZILIAN COMPUTER SCIENTIST: Artificial intelligence, Fulbright and…

Connect with us
Highlight Presentations
UF pRESENTATION
AI In Surgery- Deep Reinforcement Learning to predict fluid dosages and avoid intraoperative hypotension
A presentation by Han Li
Under the Mentorship of Azra Bihorac MD

Johns Hopkins Grand Rounds
Augmented Decision Making
Dr. Bihorac gives a lecture on collaborative research that develops technology to help physicians make better decisions in the ICU.
