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.
CONCLUSIONS: Discrimination differences between NSQIP- and non-NSQIP-derived surgical prediction models were outcome-dependent and sensitive to precision weighting. These findings support matching training datasets to prediction tasks rather than assuming database…
Metabolic and bariatric surgery (MBS) has been associated with a reduced incidence of various cancers. Yet, its potential impact on melanoma, the most lethal form of skin cancer, remains unclear.…
CONCLUSIONS: ML-ISS improved mortality discrimination over ISS and, among severely injured patients, outperformed both ISS and TRISS. These externally validated findings support prospective multicenter evaluation of ML-ISS for trauma benchmarking…
This article explores the challenges of regulating AI and ML clinical decision support tools intended to assist trained health care professionals in delivering clinical care. Two old, twentieth-century regulatory models…
i-Heal Lab
IC3 co-director Parisa Rashidi leads the Intelligent Health Systems (i-Heal) Lab in the UF Herbert Wertheim College of Engineering.
Tourette syndrome is characterized by involuntary motor and vocal tics, which are challenging to monitor objectively. This study evaluated convolutional neural networks (CNNs) and Transformer models on EMG and video…
IntroductionRestoring normal gait function remains a major clinical challenge in post-stroke rehabilitation. Backward walking may increase neuromotor demands compared with forward walking and performing it on an incline may further…
CONCLUSIONS: Our findings suggest that implementation of the model’s policy has the potential to lower postoperative AKI and improve other outcomes driven by intraoperative hypotension.
CONCLUSIONS AND RELEVANCE: A model using routinely collected variables from a large multicenter cohort was developed and validated, demonstrating accurate prediction of postoperative complications and death with generalizability across a…
CMI Lab
IC3 associate director of research Pinaki Sarder leads the Computational Microscopy Imaging (CMI) Lab in the UF College of Medicine.
CONCLUSION: We recommend routinely collecting and reporting demographics and medical history, while restricting cause of death and sociodemographic variables to situations with explicit consent or justification. These findings provide initial…
Identifying cell types present in lung biopsies can provide critical information on pathological processes, tissue organization, and organ health, and are valuable in both clinical and research settings. Knowledge of…
Light microscopy imaging with histological stains is central to disease diagnosis and research. It is enhanced with immunostaining to reveal cellular composition and complexity linked to clinical utility and biological…
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.
Associative emotional learning enables organisms to adaptively link pleasant or unpleasant outcomes to the presence of predictive stimuli. Whereas computational models such as the Rescorla-Wagner model have shed light on…
Transcranial direct current stimulation (tDCS) is a noninvasive neuromodulation technique with the potential to mitigate age-related cognitive decline, yet most models do not account for the substantial anatomical variability of…
Pictures depicting naturalistic scenes are widely used in studies of human emotion. However, the practical use of affective pictures is limited by several factors, including the difficulty of obtaining content-diverse,…
Evolving methods rooted in artificial intelligence (AI) offer new opportunities for linking human behavior and experience to brain function. Here, we introduce the Concept2Brain model, a deep network designed to…