New research from #NYITCOM explores whether #AI can reliably diagnose medical conditions. Led by Milan Toma, PhD @BioFSILab, with co-authors ATG’s Mihir Matalia & medical student Sungjoon Hong, the study evaluates leading multimodal AI models.
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Congrats to student doctor Leor Franco & Dr. Toma @BioFSILab on their recent publication in the Journal of AI in Health! Validation strategies for automated MRI-based classification of Alzheimer’s disease using deep feature extraction and machine learning
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Congrats to Milan Toma @BioFSILab and co-authors Anastasia Amanatidis, Kyle Egan & Kusuma Nio on their new paper! Their study shows the essential role of clinical expertise in reliable ML models for healthcare. 🔗 buff.ly/waFdXPo#Research#MachineLearning#NYITCOM
Most machine learning studies lack external validation, raising concerns about the reliability of reported results. The latest @NYITCOMDO student study, led by Dr. Toma @BioFSILab, highlights how models often they fail to perform as expected
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Our @NYITCOMDO students, working at the @BioFSILab, published a paper titled 'SMOTE vs. SMOTEENN: A Study on the Performance of Resampling Algorithms for Addressing Class Imbalance in Regression Models,' exploring methods for handling class imbalances in machine learning models.
A new paper out in the Journal of Fluids and Structures @Elsevier_Eng on the synchronisation characteristics in nonlinear aeroelastic systems, led by my co-advised PhD student, Dr. Dheeraj Tripathi, with Dr. Venkatramani J. #BioFSILab@unibirminghamdoi.org/10.1016/j.jfluidstru…
Congrats to Anvin Thomas, Rejath Jose, Faiz Syed, Ong Chi Wei & Milan Toma @bioFSIlab on their recently published research on AI in medical diagnostics! Explore their paper on training a machine learning model to predict heart attacks
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Congrats to Milan Toma, Rejath Jose, Faiz Syed, and Timothy Devine on their experimental study on inflatable binders for orthostatic hypotension, featured on the cover of Clinics and Practice journal! 👏🎉
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#BioFSILab@unibirmingham welcomes the group's first PhD scholar Ms. Hibah Saddal who will be working broadly in the area of fluid-structure interaction.
#BioFSILab, @unibirmingham recently hosted Dr. Shūji Ōtomo @shu_otomo from the Tokyo University of Agriculture and Technology and Dr. Li Juan from the King's College London for a research visit discussing future #UK-#Japan collaborations on vortex-dominated flow physics!
🌟New #Research: Enhancing patient safety through integrated sensor technology and #machinelearning for bed-based patient movement detection in inpatient care
👥By Milan Toma et al. @BioFSILab
Read #article here: doi.org/10.36922/aih.2790
Check out the photos by Michael Craven (Thomas Craven Film Corporation) capturing the unforgettable moments at the Awards Banquet IEEE Long Island Section. Honored to be recognized for my educational activities in Long Island. @NYITCOMDO@longisland@NYITCoECS@ZebraTechnology