
Mirhadi Arash Kia, MD
About Me
Arash Kia M.D. , M.Sc. is an assistant professor in the Department of Anesthesiology, Perioperative & Pain Medicine at Icahn School of Medicine at Mount Sinai and the director of Clinical Data Science at Mount Sinai Health System with strong passion for clinical innovation and translational research. He earned his MD from Iran university of Medical Sciences and his M.Sc. in Computational Neuroscience from Western University. The clinical data science team builds and operationalizes Machine Learning solutions to optimize clinical effectiveness and improve patient safety in different clinical service lines in MSHS.
His team developed and operationalized wide range of machine learning applications to stratify risk of clinical deterioration , delirium, ICU transfer, aggression, and metastasis in different clinical settings. His Research interests lie at the intersection of Peri-operative/Pain Medicine , EMR Data Processing, Multi-modality deep learning including image classification (PyTorch and TensorFlow), natural language processing (NLP) and waveform classification(PyTorch), and clinical implementation of artificial intelligence technologies.
Research Interests: EMR Data Processing , Machine Learning , NLP , Medical Image Classification
Language
English
Position
ASSISTANT CLINICAL PROFESSOR | Anesthesiology, Perioperative & Pain Medicine
Research Topics
Computational Neuroscience, Image Analysis, Mathematical Modeling of Biomedical Systems, Technology & Innovation, Translational Research
Multi-Disciplinary Training Areas
Artificial Intelligence and Emerging Technologies in Medicine [AIET], Neuroscience [NEU]
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MD, Iran University of Medical Sciences
MSc, University of Western Ontario
Publications
Selected Publications
- Identifying Bias at Scale in Clinical Notes Using Large Language Models. Donald U. Apakama, Kim Anh Nhi Nguyen, Daphnee Hyppolite, Shelly Soffer, Aya Mudrik, Emilia Ling, Akini Moses, Ivanka Temnycky, Allison Glasser, Rebecca Anderson, Prathamesh Parchure, Evajoyce Woullard, Masoud Edalati, Lili Chan, Clair Kronk, Robert Freeman, Arash Kia, Prem Timsina, Matthew A. Levin, Rohan Khera, Patricia Kovatch, Alexander W. Charney, Brendan G. Carr, Lynne D. Richardson, Carol R. Horowitz, Eyal Klang, Girish N. Nadkarni. Mayo Clinic Proceedings: Digital Health
- Machine Learning-Based Flap Takeback Prediction Modeling: Theory for a Real-Time, Patient-Specific Postoperative Flap Monitoring and Alert System. Olachi O. Oleru, Kim Anh Nhi Nguyen, Peter Taub, Arash Kia. Microsurgery
- Machine Learning Multimodal Model for Delirium Risk Stratification. Joseph I. Friedman, Prathamesh Parchure, Fu Yuan Cheng, Weijia Fu, Satyanarayana Cheertirala, Prem Timsina, Ganesh Raut, Katherine Reina, Josiane Joseph-Jimerson, Madhu Mazumdar, Robert Freeman, David L. Reich, Arash Kia. JAMA network open