Icahn School of Medicine at Mount Sinai

New York, NY, United States

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research-article
Targeted neural dynamical modeling
- Cole Hurwitz
  School of Informatics, University of Edinburgh, Edinburgh, Scotland
  ,
- Akash Srivastava
  MIT-IBM Watson AI Lab, Cambridge, MA
  ,
- Kai Xu
  School of Informatics, University of Edinburgh, Edinburgh, Scotland
  ,
- Justin Jude
  School of Informatics, University of Edinburgh, Edinburgh, Scotland
  ,
- Matthew G. Perich
  Icahn School of Medicine at Mount Sinai, New York, NY
  ,
- Lee E. Miller
  Feinberg School of Medicine, Northwestern, Chicago, IL
  ,
- Matthias H. Hennig
  School of Informatics, University of Edinburgh, Edinburgh, Scotland
December 2021NIPS '21: Proceedings of the 35th International Conference on Neural Information Processing Systems
research-article
Air quality disparities mapper: An open-source web application for environmental justice
- Ethan McFarlin
  Department of Biostatistics, Harvard T.H. Chan School of Public Health, 655 Huntington Ave, Boston, MA, 02115, United States
  ,
- Falco J. Bargagli-Stoffi
  Department of Biostatistics, Harvard T.H. Chan School of Public Health, 655 Huntington Ave, Boston, MA, 02115, United States
  ,
- Edgar Castro
  Department of Environmental Health, Harvard T.H. Chan School of Public Health, 655 Huntington Ave, Boston, MA, 02115, United States
  ,
- Joel Schwartz
  Department of Environmental Health, Harvard T.H. Chan School of Public Health, 655 Huntington Ave, Boston, MA, 02115, United States
  Department of Epidemiology, Harvard T. H. Chan School of Public Health, 655 Huntington Ave, United States
  ,
- Francesca Dominici
  Department of Biostatistics, Harvard T.H. Chan School of Public Health, 655 Huntington Ave, Boston, MA, 02115, United States
  ,
- Heresh Amini
  Department of Environmental Medicine and Public Health, Institute for Climate Change, Environmental Health, and Exposomics, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY, 10029, United States
January 2024Environmental Modelling & Software, Volume 172, Issue Chttps://doi.org/10.1016/j.envsoft.2023.105881
research-article
A novel method leveraging time series data to improve subphenotyping and application in critically ill patients with COVID-19
- Wonsuk Oh
  Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
  Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA
  Division of Data-Driven and Digital Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
  ,
- Pushkala Jayaraman
  Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
  Division of Data-Driven and Digital Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
  ,
- Pranai Tandon
  Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
  ,
- Udit S. Chaddha
  Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
  ,
- Patricia Kovatch
  Department of Scientific Computing, Icahn School of Medicine at Mount Sinai, New York, NY, USA
  ,
- Alexander W. Charney
  Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
  Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
  Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
  ,
- Benjamin S. Glicksberg
  Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA
  Character Biosciences, New York, NY, USA
  ,
- Girish N. Nadkarni
  Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
  Division of Data-Driven and Digital Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
  Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
February 2024Artificial Intelligence in Medicine, Volume 148, Issue Chttps://doi.org/10.1016/j.artmed.2023.102750
rapid-communication
Technical/Algorithm, Stakeholder, and Society (TASS) barriers to the application of artificial intelligence in medicine: A systematic review
- Linda T. Li
  Department of Surgery, Division of Pediatric Surgery, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY 10029, United States
  McWilliams School of Biomedical Informatics at UT Health Houston, 7000 Fannin St, Suite 600, Houston, TX 77030, United States
  ,
- Lauren C. Haley
  McGovern Medical School at the University of Texas Health Science Center at Houston, 6431 Fannin St, Houston, TX 77030, United States
  ,
- Alexandra K. Boyd
  McGovern Medical School at the University of Texas Health Science Center at Houston, 6431 Fannin St, Houston, TX 77030, United States
  ,
- Elmer V. Bernstam
  McWilliams School of Biomedical Informatics at UT Health Houston, 7000 Fannin St, Suite 600, Houston, TX 77030, United States
  McGovern Medical School at the University of Texas Health Science Center at Houston, 6431 Fannin St, Houston, TX 77030, United States
November 2023Journal of Biomedical Informatics, Volume 147, Issue Chttps://doi.org/10.1016/j.jbi.2023.104531
research-article
Generative artificial intelligence-enabled dynamic detection of rat nicotine-related circuits
- Changwei Gong
  Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 518055, Shenzhen, China
  ,
- Changhong Jing
  Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 518055, Shenzhen, China
  ,
- Xin-an Liu
  Shenzhen Key Laboratory of Drug Addiction, Shenzhen Neher Neural Plasticity Laboratory, the Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences (CAS), 518055, Shenzhen, China
  Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, 518055, Shenzhen, China
  ,
- Victoria X. Wang
  https://ror.org/04a9tmd77Department of Radiology, Icahn School of Medicine at Mount Sinai, Translational and Molecular Imaging Institute, 10029, New York, NY, USA
  ,
- Cheuk Ying Tang
  https://ror.org/04a9tmd77Department of Radiology, Icahn School of Medicine at Mount Sinai, Translational and Molecular Imaging Institute, 10029, New York, NY, USA
  ,
- Paul J. Kenny
  https://ror.org/04a9tmd77Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, 10029, New York, NY, USA
  ,
- Ye Li
  Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 518055, Shenzhen, China
  ,
- Zuxin Chen
  Shenzhen Key Laboratory of Drug Addiction, Shenzhen Neher Neural Plasticity Laboratory, the Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences (CAS), 518055, Shenzhen, China
  Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, 518055, Shenzhen, China
  ,
- Shuqiang Wang
  Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 518055, Shenzhen, China
March 2024Neural Computing and Applications, Volume 36, Issue 9https://doi.org/10.1007/s00521-023-09307-0
Article
Designing and Evaluating MahjongBrain: A Digital Cognitive Assessment Tool Through Gamification
- Jiaoyun Yang
  https://ror.org/02czkny70School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China
  National Smart Eldercare International S&T Cooperation Base, Hefei University of Technology, Hefei, China
  Intelligent Interconnected Systems Laboratory of Anhui Province, Hefei University of Technology, Hefei, China
  https://ror.org/02czkny70Key Laboratory of Knowledge Engineering with Big Data of Ministry of Education, Hefei University of Technology, Hefei, China
  ,
- Richu Jiang
  https://ror.org/02czkny70School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China
  National Smart Eldercare International S&T Cooperation Base, Hefei University of Technology, Hefei, China
  ,
- Huitong Ding
  https://ror.org/05qwgg493Department of Anatomy and Neurobiology, Boston University Chobanian and Avedisian School of Medicine, Boston, USA
  ,
- Rhoda Au
  https://ror.org/05qwgg493Department of Anatomy and Neurobiology, Boston University Chobanian and Avedisian School of Medicine, Boston, USA
  https://ror.org/05qwgg493Department of Neurology, Boston University Chobanian and Avedisian School of Medicine, Boston, USA
  Framingham Heart Study, Boston University Chobanian and Avedisian School of Medicine, Boston, USA
  https://ror.org/05qwgg493Department of Epidemiology, Boston University School of Public Health, Boston, USA
  ,
- Jinying Chen
  https://ror.org/05qwgg493Department of Preventive Medicine and Epidemiology, Boston University Chobanian and Avedisian School of Medicine, Boston, USA
  ,
- Clara Li
  https://ror.org/04a9tmd77Alzheimer’s Disease Research Center, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
  ,
- Ning An
  https://ror.org/02czkny70School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China
  National Smart Eldercare International S&T Cooperation Base, Hefei University of Technology, Hefei, China
  Intelligent Interconnected Systems Laboratory of Anhui Province, Hefei University of Technology, Hefei, China
  Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine, Hefei University of Technology, Hefei, China
July 2023HCI International 2023 – Late Breaking Papershttps://doi.org/10.1007/978-3-031-48041-6_19

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Icahn School of Medicine at Mount Sinai

Icahn School of Medicine at Mount Sinai

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Published Items by Year

Collaborations

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Institution’s Latest Publications

Targeted neural dynamical modeling

Air quality disparities mapper: An open-source web application for environmental justice

A novel method leveraging time series data to improve subphenotyping and application in critically ill patients with COVID-19

Technical/Algorithm, Stakeholder, and Society (TASS) barriers to the application of artificial intelligence in medicine: A systematic review

Generative artificial intelligence-enabled dynamic detection of rat nicotine-related circuits

Designing and Evaluating MahjongBrain: A Digital Cognitive Assessment Tool Through Gamification

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