The directors and members of the Intelligent Clinical Care Center (IC3) have published over 1,500 articles in peer-reviewed, scholarly journals. These include journals such as Nature Reviews Nephrology, Scientific Reports, JAMA Internal Medicine, JAMA Network Open, The Lancet Digital Health, Medical Image Analysis, BMJ Health & Care Informatics, PLOS ONE, Kidney International, and Surgery.
Listed below are recent publications from some of the IC3 member labs. For more information on publications by specific IC3 members or labs, please refer to the IC3 Members page or the IC3 Labs page.
PRISMAP
IC3 director Azra Bihorac, associate directors of research Tyler Loftus and Tezcan Ozrazgat Baslanti, and assistant director of clinical AI Benjamin Shickel are all part of the Precision and Intelligent Systems in Medicine Research Partnership (PRISMAP) in the UF College of Medicine.
Learning optimal treatment strategies for intraoperative hypotension using deep reinforcement learning
CONCLUSIONS AND RELEVANCE: Our findings suggest that implementation of the model’s policy has the potential to reduce postoperative AKI and improve other outcomes driven by intraoperative hypotension.
Current Approach to Perioperative Evaluation of Neurological Diseases
CONCLUSION: Perioperative management of patients with neurological diseases requires a comprehensive, multidisciplinary approach tailored to the specific needs of each condition. Adherence to evidence-based guidelines not only ensures patient safety…
The Predictive Value of Basic Laparoscopic Evaluations on Complex Cases Using the Society for Improving Medical Procedural Learning Database
CONCLUSIONS: Basic laparoscopic performance ratings were moderately effective in predicting subsequent performance on complex procedures but offered little additional predictive value over postgraduate year alone.
Building health systems capable of leveraging AI: applying Paul Farmer's 5S framework for equitable global health
The development of artificial intelligence (AI) applications in healthcare is often positioned as a solution to the greatest challenges facing global health. Advocates propose that AI can bridge gaps in…
i-Heal Lab
IC3 co-director Parisa Rashidi leads the Intelligent Health Systems (i-Heal) Lab in the UF Herbert Wertheim College of Engineering.
Learning optimal treatment strategies for intraoperative hypotension using deep reinforcement learning
CONCLUSIONS AND RELEVANCE: Our findings suggest that implementation of the model’s policy has the potential to reduce postoperative AKI and improve other outcomes driven by intraoperative hypotension.
Nano and microplastics: unveiling their profound impact on endocrine health
Plastics are extensively used materials with a long environmental lifespan, posing significant risks to human health and the environment. Global plastic consumption has surged, with plastic waste expected to triple…
Strengthening Discovery and Application of Artificial Intelligence in Anesthesiology: A Report from the Anesthesia Research Council
Interest in the potential applications of artificial intelligence in medicine, anesthesiology, and the world at large has never been higher. The Anesthesia Research Council steering committee formed an anesthesiologist artificial…
CMI Lab
IC3 associate director of research Pinaki Sarder leads the Computational Microscopy Imaging (CMI) Lab in the UF College of Medicine.
Developing evaluation metrics to measure the US national institute of health plans to enhance diverse perspectives: a protocol for a consensus-based study
INTRODUCTION: The diversity of participating investigators representing diverse disciplines, career stages, stakeholder groups, regions and types of institutions is essential for the success of large-scale research programmes. In 2021, the…
QUIET WARRIOR – Rationale and design: An ancillary study to the Women's IschemiA TRial to Reduce Events in Nonobstructive CAD (WARRIOR)
CONCLUSION: The QUIET WARRIOR sub-study will advance the understanding of INOCA in women, integrating clinical, imaging, and socioeconomic data to enhance risk prediction and guide personalized therapeutic strategies. This research…
Summer Research Internship Curriculum to Promote Self-Efficacy, Researcher Identity, and Peer-to-Peer Learning: Retrospective Cohort Study
CONCLUSIONS: Summer internship programs can incorporate an academic enrichment curriculum with small-group peer learning in addition to a laboratory-based experience to facilitate increased student engagement, self-efficacy, and a sense of…
A <em>MEF2C</em> transcription factor network regulates proliferation of glomerular endothelial cells in diabetic kidney disease
The maintenance of a healthy epithelial-endothelial juxtaposition requires cross-talk within glomerular cellular niches. We sought to understand the spatially-anchored regulation and transition of endothelial and mesangial cells from health to…
SMILE Lab
IC3 associate director of education Ruogu Fang leads the Smart Medical Informatics Learning and Evaluation (SMILE) Lab in the UF Herbert Wertheim College of Engineering.
Learning optimal treatment strategies for intraoperative hypotension using deep reinforcement learning
CONCLUSIONS AND RELEVANCE: Our findings suggest that implementation of the model’s policy has the potential to reduce postoperative AKI and improve other outcomes driven by intraoperative hypotension.
Automated Imaging Differentiation for Parkinsonism
CONCLUSIONS AND RELEVANCE: This prospective multicenter cohort study of AIDP met its primary end points. Results suggest using AIDP in the diagnostic workup for common parkinsonian syndromes.
Deep Learning Analysis of Retinal Structures and Risk Factors of Alzheimer's Disease
The importance of early Alzheimer’s Disease screening is becoming more apparent, given the fact that there is no way to revert the patient’s status after the onset. However, the diagnostic…
A Comprehensive Survey of Foundation Models in Medicine
Foundation models (FMs) are large-scale deep learning models trained on massive datasets, often using self-supervised learning techniques. These models serve as a versatile base for a wide range of downstream…