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ASSISTANT PROFESSOR | Anesthesiology, Perioperative & Pain Medicine
Biography
Arash Kia M.D. , M.Sc. is an assistant professor in the Department of Anesthesiology, Preoperative & 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
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Collaborations and top research areas from the last five years
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Alzheimer's Imaging Consortium
Zhu, C. W., Ramsingh, N., Cho, S., Kia, A., Nevler, N., Silberstein, T., Sheppard, F., Neugroschl, J. A., Akrivos, J., Loizos, M., Sewell, M., Gonzalez-Recober, C., Kim, Y. D., Birju, D., Beeri, M. S., Corcoran, C. M., Liberman, M. Y., Sano, M. & Soleimani, L., 1 Dec 2025, In: Alzheimer's and Dementia. 21, p. e110207Research output: Contribution to journal › Article › peer-review
Open Access -
Biases in Artificial Intelligence Application in Pain Medicine
Jumreornvong, O., Perez, A. M., Malave, B., Mozawalla, F., Kia, A. & Nwaneshiudu, C. A., 2025, In: Journal of Pain Research. 18, p. 1021-1033 13 p.Research output: Contribution to journal › Review article › peer-review
Open Access14 Scopus citations -
Biomarkers
Zhu, C. W., Ramsingh, N., Cho, S., Kia, A., Nevler, N., Silberstein, T., Sheppard, F., Neugroschl, J. A., Akrivos, J., Loizos, M., Sewell, M., Gonzalez-Recober, C., Kim, Y. D., Birju, D., Beeri, M. S., Corcoran, C. M., Liberman, M. Y., Sano, M. & Soleimani, L., 1 Dec 2025, In: Alzheimer's and Dementia. 21, p. e097217Research output: Contribution to journal › Article › peer-review
Open Access -
Electronic-Medical-Record-Driven Machine Learning Predictive Model for Hospital-Acquired Pressure Injuries: Development and External Validation
Nguyen, K. A. N., Patel, D., Edalati, M., Sevillano, M., Timsina, P., Freeman, R., Levin, M. A., Reich, D. L. & Kia, A., Feb 2025, In: Journal of Clinical Medicine. 14, 4, 1175.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations -
Exploring Named Entity Recognition Potential and the Value of Tailored Natural Language Processing Pipelines for Radiology, Pathology, and Progress Notes in Clinical Decision Support: Quantitative Study
Kocaman, V., Cheng, F. Y., Bonis, J., Raut, G., Timsina, P., Talby, D. & Kia, A., 2025, In: JMIR AI. 4, e59251.Research output: Contribution to journal › Article › peer-review
Open Access
Press/Media
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New Findings in Delirium Described from Icahn School of Medicine at Mount Sinai (Machine Learning Multimodal Model for Delirium Risk Stratification)
Mazumdar, M., Reich, D., Friedman, J., Kia, M. A. & Timsina, P.
6/08/25
1 item of Media coverage
Press/Media
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Mount Sinai: AI Model Improves Delirium Prediction, Leading to Better Health Outcomes for Hospitalized Patients
Mazumdar, M., Reich, D., Friedman, J., Kia, M. A. & Timsina, P.
7/05/25 → 8/05/25
2 items of Media coverage
Press/Media
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AI Model Improves Delirium Prediction, Leading to Better Health Outcomes for Hospitalized Patients
Mazumdar, M., Reich, D., Friedman, J., Kia, M. A. & Timsina, P.
7/05/25
5 items of Media coverage
Press/Media
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Study Data from Icahn School of Medicine at Mount Sinai Provide New Insights into Machine Learning (Electronic-medical-record-driven Machine Learning Predictive Model for Hospital-acquired Pressure Injuries: Development and External Validation)
Levin, M., Reich, D., Kia, M. A. & Timsina, P.
26/03/25
1 item of Media coverage
Press/Media
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Nursing and AI: Augmented Intelligence
Reich, D., Kia, M. A. & Timsina, P.
23/01/25
1 item of Media coverage
Press/Media