Hasil Pencarian - Benjamin S Glicksberg

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  1. 1
    Unveiling Recent Trends in Biomedical Artificial Intelligence Research: Analysis of Top-Cited Papers

    Unveiling Recent Trends in Biomedical Artificial Intelligence Research: Analysis of Top-Cited Papers oleh Benjamin S. Glicksberg, Eyal Klang

    Diterbitkan 2024-01-01
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  2. 2
    Exploring the Potential for Collaborative Use of an App-Based Platform for n-of-1 Trials Among Healthcare Professionals That Treat Patients With Insomnia

    Exploring the Potential for Collaborative Use of an App-Based Platform for n-of-1 Trials Among Healthcare Professionals That Treat Patients With Insomnia oleh Jason R. Bobe, Jessica K. De Freitas, Jessica K. De Freitas, Benjamin S. Glicksberg, Benjamin S. Glicksberg

    Diterbitkan 2020-09-01
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  3. 3
    Utility of routinely collected electronic health records data to support effectiveness evaluations in inflammatory bowel disease: a pilot study of tofacitinib

    Utility of routinely collected electronic health records data to support effectiveness evaluations in inflammatory bowel disease: a pilot study of tofacitinib oleh Vivek Ashok Rudrapatna, Benjamin Scott Glicksberg, Atul Janardhan Butte

    Diterbitkan 2021-10-01
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  4. 4
    Selecting precise reference normal tissue samples for cancer research using a deep learning approach

    Selecting precise reference normal tissue samples for cancer research using a deep learning approach oleh William Z. D. Zeng, Benjamin S. Glicksberg, Yangyan Li, Bin Chen

    Diterbitkan 2019-01-01
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  5. 5
    Editorial: Explainable artificial intelligence for critical healthcare applications

    Editorial: Explainable artificial intelligence for critical healthcare applications oleh Zhe He, Rui Zhang, Gayo Diallo, Zhengxing Huang, Benjamin S. Glicksberg

    Diterbitkan 2023-09-01
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  6. 6
    Large language models for generating medical examinations: systematic review

    Large language models for generating medical examinations: systematic review oleh Yaara Artsi, Vera Sorin, Eli Konen, Benjamin S. Glicksberg, Girish Nadkarni, Eyal Klang

    Diterbitkan 2024-03-01
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  7. 7
    Evaluating the use of large language model in identifying top research questions in gastroenterology

    Evaluating the use of large language model in identifying top research questions in gastroenterology oleh Adi Lahat, Eyal Shachar, Benjamin Avidan, Zina Shatz, Benjamin S. Glicksberg, Eyal Klang

    Diterbitkan 2023-03-01
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  8. 8
    Data-Driven Identification of Risk Factors of Patient Satisfaction at a Large Urban Academic Medical Center.

    Data-Driven Identification of Risk Factors of Patient Satisfaction at a Large Urban Academic Medical Center. oleh Li Li, Nathan J Lee, Benjamin S Glicksberg, Brian D Radbill, Joel T Dudley

    Diterbitkan 2016-01-01
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  9. 9
    Machine-Learning-Based Prediction Modelling in Primary Care: State-of-the-Art Review

    Machine-Learning-Based Prediction Modelling in Primary Care: State-of-the-Art Review oleh Adham H. El-Sherbini, Hafeez Ul Hassan Virk, Zhen Wang, Benjamin S. Glicksberg, Chayakrit Krittanawong

    Diterbitkan 2023-05-01
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  10. 10
    Accuracy of medical billing data against the electronic health record in the measurement of colorectal cancer screening rates

    Accuracy of medical billing data against the electronic health record in the measurement of colorectal cancer screening rates oleh Vivek A Rudrapatna, Benjamin S Glicksberg, Patrick Avila, Emily Harding-Theobald, Connie Wang, Atul J Butte

    Diterbitkan 2020-03-01
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  11. 11
    Predictive Modelling of Susceptibility to Substance Abuse, Mortality and Drug-Drug Interactions in Opioid Patients

    Predictive Modelling of Susceptibility to Substance Abuse, Mortality and Drug-Drug Interactions in Opioid Patients oleh Ramya Vunikili, Ramya Vunikili, Benjamin S. Glicksberg, Kipp W. Johnson, Joel T. Dudley, Lakshminarayanan Subramanian, Khader Shameer, Khader Shameer

    Diterbitkan 2021-12-01
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  12. 12
    Identification of therapeutic targets from genetic association studies using hierarchical component analysis

    Identification of therapeutic targets from genetic association studies using hierarchical component analysis oleh Hao-Chih Lee, Osamu Ichikawa, Benjamin S. Glicksberg, Aparna A. Divaraniya, Christine E. Becker, Pankaj Agarwal, Joel T. Dudley

    Diterbitkan 2020-06-01
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  13. 13
    Comparing ChatGPT and GPT-4 performance in USMLE soft skill assessments

    Comparing ChatGPT and GPT-4 performance in USMLE soft skill assessments oleh Dana Brin, Vera Sorin, Akhil Vaid, Ali Soroush, Benjamin S. Glicksberg, Alexander W. Charney, Girish Nadkarni, Eyal Klang

    Diterbitkan 2023-10-01
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  14. 14
    Deep Learning for Echocardiography: Introduction for Clinicians and Future Vision: State-of-the-Art Review

    Deep Learning for Echocardiography: Introduction for Clinicians and Future Vision: State-of-the-Art Review oleh Chayakrit Krittanawong, Alaa Mabrouk Salem Omar, Sukrit Narula, Partho P. Sengupta, Benjamin S. Glicksberg, Jagat Narula, Edgar Argulian

    Diterbitkan 2023-04-01
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  15. 15
    Obesity as a mortality risk factor in the medical ward: a case control study

    Obesity as a mortality risk factor in the medical ward: a case control study oleh Shelly Soffer, Eyal Zimlichman, Benjamin S. Glicksberg, Orly Efros, Matthew A. Levin, Robert Freeman, David L. Reich, Eyal Klang

    Diterbitkan 2022-01-01
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  16. 16
    Evaluating cell lines as models for metastatic breast cancer through integrative analysis of genomic data

    Evaluating cell lines as models for metastatic breast cancer through integrative analysis of genomic data oleh Ke Liu, Patrick A. Newbury, Benjamin S. Glicksberg, William Z. D. Zeng, Shreya Paithankar, Eran R. Andrechek, Bin Chen

    Diterbitkan 2019-05-01
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  17. 17
    An Update on the Use of Artificial Intelligence in Cardiovascular Medicine

    An Update on the Use of Artificial Intelligence in Cardiovascular Medicine oleh Shiavax J. Rao, Shaikh B. Iqbal, Ameesh Isath, Hafeez Ul Hassan Virk, Zhen Wang, Benjamin S. Glicksberg, Chayakrit Krittanawong

    Diterbitkan 2024-02-01
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  18. 18
    Synergistic effect of hypoalbuminaemia and hypotension in predicting in-hospital mortality and intensive care admission: a retrospective cohort study

    Synergistic effect of hypoalbuminaemia and hypotension in predicting in-hospital mortality and intensive care admission: a retrospective cohort study oleh Eyal Klang, Shelly Soffer, Benjamin S Glicksberg, Robert Freeman, David L Reich, Matthew A Levin, E Grossman, Alexis Zebrowski

    Diterbitkan 2021-10-01
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  19. 19
    Machine learning to predict in‐hospital mortality among patients with severe obesity: Proof of concept study

    Machine learning to predict in‐hospital mortality among patients with severe obesity: Proof of concept study oleh Shelly Soffer, Eyal Zimlichman, Matthew A. Levin, Alexis M. Zebrowski, Benjamin S. Glicksberg, Robert Freeman, David L. Reich, Eyal Klang

    Diterbitkan 2022-08-01
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  20. 20
    Deep representation learning of electronic health records to unlock patient stratification at scale

    Deep representation learning of electronic health records to unlock patient stratification at scale oleh Isotta Landi, Benjamin S. Glicksberg, Hao-Chih Lee, Sarah Cherng, Giulia Landi, Matteo Danieletto, Joel T. Dudley, Cesare Furlanello, Riccardo Miotto

    Diterbitkan 2020-07-01
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