
Milan Toma
@BioFSILab
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Associate Professor of Clinical Sciences at New York Institute of Technology College of Osteopathic Medicine @NYITCOMDO
New York
Joined October 2023
From our recent @NYITCOMDO paper: rooted in clinical science, our priorities differ from those of purely engineering teams; rather than approaching the work solely from algorithmic vantage point, we maintained a focus on clinical translation. DOI: 10.3390/bioengineering12080845
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Our latest research, "EEG-based Pain Detection," published. It was a collaboration between @NYITCOMDO and the Medical University of Vienna (@MedUni_Wien), highlighting the importance of transparent ML pipelines for clinically relevant pain assessment. DOI: 10.20935/AcadBiol7790
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Our latest @NYITCOMDO literature review on integrating artificial intelligence in clinical practice, hospital management, and health policy is now published in Journal of hospital management and health policy, DOI: 10.21037/jhmhp-24-138
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Our latest @NYITCOMDO publication on training clinically actionable machine learning models in healthcare (ensuring a more comprehensive assessment of model robustness and clinical applicability); co-authored with three outstanding student doctors! DOI: 10.3390/a18060343
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RT @NYITCOMDO: Using AI to detect ECG abnormalities, #NYITCOM's Dr. Milan Toma @BioFSILab and student doctor Daniel Nasef teamed up with en….
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Caleb Neal is our @NYITCOMDO student. He played semi-professional hockey in Sweden as a graduate student at Augusta University. Read his article on 'How Hockey Can Prevent Brain Injury Among Players.'
brainfacts.org
From professional to youth leagues, the hockey world is debating how to reduce concussion risk among players while preserving the spirit of the sport.
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As demonstrated in our latest @NYITCOMDO publication, we advocate that future ML-driven diagnostic studies adhere to the recent @US_FDA's recommended credibility assessment by analyzing training dynamics alongside traditional performance metrics. DOI: 10.3390/info16060432
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Could stretchable chinstraps on helmets reduce brain stress during impacts? 🧠💥 Our latest @NYITCOMDO (Collaboration between @NYITsportsmed & @NYITOMM) study published in 'Applied Sciences' explores this question! .#HelmetSafety
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RT @Algorithms_MDPI: 🚀 Call for Papers: Special Issue on "AI-Assisted Medical Diagnostics" 🧠. 📚 Guest Editor: Dr. Milan Toma. 🔍 Explore th….
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Organizing a special issue on AI in Medical Diagnostics on @CureusMedical. If you’re working on ML, DL, predictive analytics, augmented clinical diagnostics, I invite you to submit your papers for review:.
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Collaboration between @NYITCOMDO and ETIC at the @NYITCoECS: Two medical students trained AI for ECG abnormality detection from a clinical angle, while two engineering students approached the same challenge from an engineering perspective. Both papers are now published! @nyit
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Join me in New York Tech Big Give, especially our OMM students, helping them attend the AAO Convocation and other OMM conferences, donate to the OMM Department���s Fund; 100% of donations go toward funding student attendance at osteopathic conferences.
biggive.nyit.edu
Join me and give back!
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Our @NYITCOMDO students are the best! Congratulations to everyone for developing methods and publishing on the automated recognition of epileptic EEG signals in Advanced Neurology. DOI: 10.36922/an.7941
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Our latest @NYITCOMDO publication in the journal of AI: "Clinical Applicability of Machine Learning Models for ECG Classification", high accuracy != clinical applicability. DOI: 10.3390/ai6030059
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Match day at @NYITCOMDO .Proud to have been a small part of their journey.
Envelopes are being handed out! In just a few moments at noon, everyone will discover their Matches! Happy match day and good luck!!🍀 💙🩺🥼. #nyitcom #match2025 @AOAforDOs @NYITCOMAR
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Presenting at the 5th Biotechnology Conference at @nyit! Demonstrating how to evaluate AI models for training robustness to mitigate clinical risks in healthcare applications. Thanks to @NYITCoECS and @NYITCOMDO for organizing this valuable event. #HealthcareAI #BiotechConference
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Announcing our latest study in Discover Data! Our @NYITCOMDO students (Jose, Lewis, Satti, Steinberg, Toufexis & Nasef) analyzed knee X-rays to detect osteoarthritis severity.
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2024 was a phenomenal year for our @BioFSILab. We're just 1 citation away from hitting 4-digit citations (999 and counting!). Huge thanks to our incredible @NYITCOMDO students and collaborators who made this milestone possible. Your hard work and dedication continue to inspire.
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Our latest @NYITCOMDO study explored machine learning for diagnosing lumbar disc hernia & spondylolisthesis, and analyzing related biomechanical features. Impressed by our students' dedication as always. DOI:10.3390/biomedinformatics5010003 #AI #Orthopedics #MachineLearning
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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.
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