Robert M Freeman (Robert Freeman)

ORCID

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 32

Top Venues

Journal of the American Medical Informatics Association : JAMIA

Journal of clinical medicine

NPJ digital medicine

Bioengineering (Basel, Switzerland)

Mount Sinai Health System

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Mount Sinai Health System

United States

Vice President :: Clinical Innovation

Publications

Pranai Tandon, Kim-Anh-Nhi Nguyen, Masoud Edalati, Prathamesh Parchure, Ganesh Raut, David L Reich, Robert M Freeman, Matthew A Levin, Prem Timsina, Charles A Powell, Zahi A Fayad, Arash Kia
Development and Validation of a Deep Learning Classifier Using Chest Radiographs to Predict Extubation Success in Patients Undergoing Invasive Mechanical Ventilation. Bioengineering (Basel, Switzerland) 11 (6) (2024)
Dhavalkumar Patel, Prem Timsina, Larisa Gorenstein, Benjamin Scott Glicksberg, Ganesh Raut, Satya Narayana Cheetirala, Fabio Santana, Jules Tamegue, Arash Kia, Eyal Zimlichman, Matthew A Levin, Robert M Freeman, Eyal Klang
Traditional Machine Learning, Deep Learning, and BERT (Large Language Model) Approaches for Predicting Hospitalizations From Nurse Triage Notes: Comparative Evaluation of Resource Management. JMIR AI 3 (2024)
Akhil Vaid, Son Q Duong, Joshua Lampert, Patricia Kovatch, Robert M Freeman, Edgar Argulian, Lori Croft, Stamatios Lerakis, Martin Goldman, Rohan Khera, Girish N Nadkarni
Local large language models for privacy-preserving accelerated review of historic echocardiogram reports. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Akhil Vaid, Son Q Duong, Joshua Lampert, Patricia Kovatch, Robert M Freeman, Edgar Argulian, Lori Croft, Stamatios Lerakis, Martin Goldman, Rohan Khera, Girish N Nadkarni
Local large language models for privacy-preserving accelerated review of historic echocardiogram reports. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Lathan Liou, Erick Scott, Prathamesh Parchure, Yuxia Ouyang, Natalia Egorova, Robert M Freeman, Ira S Hofer, Girish Nitin Nadkarni, Prem Timsina, Arash Kia, Matthew A Levin
Assessing calibration and bias of a deployed machine learning malnutrition prediction model within a large healthcare system. NPJ digital medicine 7 (1) (2024)
Akhil Vaid, Son Q Duong, Joshua Lampert, Patricia Kovatch, Robert M Freeman, Edgar Argulian, Lori Croft, Stamatios Lerakis, Martin Goldman, Rohan Khera, Girish N Nadkarni
Local large language models for privacy-preserving accelerated review of historic echocardiogram reports. Journal of the American Medical Informatics Association : JAMIA (2024)
Lathan Liou, Erick Scott, Prathamesh Parchure, Yuxia Ouyang, Natalia Egorova, Robert M Freeman, Ira S Hofer, Girish Nitin Nadkarni, Prem Timsina, Arash Kia, Matthew A Levin
Assessing calibration and bias of a deployed machine learning malnutrition prediction model within a large healthcare system. NPJ digital medicine 7 (1) (2024)
Pranai Tandon, Kim-Anh-Nhi Nguyen, Masoud Edalati, Prathamesh Parchure, Ganesh Raut, David L Reich, Robert M Freeman, Matthew A Levin, Prem Timsina, Charles A Powell, Zahi A Fayad, Arash Kia
Development and Validation of a Deep Learning Classifier Using Chest Radiographs to Predict Extubation Success in Patients Undergoing Invasive Mechanical Ventilation. Bioengineering (Basel, Switzerland) 11 (6) (2024)
Benjamin Scott Glicksberg, Prem Timsina, Dhaval Patel, Ashwin S Sawant, Akhil Vaid, Ganesh Raut, Alexander W Charney, Donald Apakama, Brendan G Carr, Robert M Freeman, Girish N Nadkarni, Eyal Klang
Evaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency room. Journal of the American Medical Informatics Association : JAMIA (2024)
Benjamin Scott Glicksberg, Prem Timsina, Dhaval Patel, Ashwin S Sawant, Akhil Vaid, Ganesh Raut, Alexander W Charney, Donald Apakama, Brendan G Carr, Robert M Freeman, Girish N Nadkarni, Eyal Klang
Evaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency room. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Benjamin Scott Glicksberg, Prem Timsina, Dhaval Patel, Ashwin S Sawant, Akhil Vaid, Ganesh Raut, Alexander W Charney, Donald Apakama, Brendan G Carr, Robert M Freeman, Girish N Nadkarni, Eyal Klang
Evaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency room. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Akhil Vaid, Son Q Duong, Joshua Lampert, Patricia Kovatch, Robert M Freeman, Edgar Argulian, Lori Croft, Stamatios Lerakis, Martin Goldman, Rohan Khera, Girish N Nadkarni
Local large language models for privacy-preserving accelerated review of historic echocardiogram reports. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Benjamin Scott Glicksberg, Prem Timsina, Dhaval Patel, Ashwin S Sawant, Akhil Vaid, Ganesh Raut, Alexander W Charney, Donald Apakama, Brendan G Carr, Robert M Freeman, Girish N Nadkarni, Eyal Klang
Evaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency room. Journal of the American Medical Informatics Association : JAMIA 31 (9) (2024)
Faris F Gulamali, Pushkala Jayaraman, Ashwin S Sawant, Jacob Desman, Benjamin Fox, Annette Chang, Brian Y Soong, Naveen Arivazagan, Alexandra S Reynolds, Son Q Duong, Akhil Vaid, Patricia Kovatch, Robert M Freeman, Ira S Hofer, Ankit Sakhuja, Neha S Dangayach, David S Reich, Alexander W Charney, Girish Nitin Nadkarni
Derivation, external and clinical validation of a deep learning approach for detecting intracranial hypertension. NPJ digital medicine 7 (1) (2024)
Lathan Liou, Erick Scott, Prathamesh Parchure, Yuxia Ouyang, Natalia Egorova, Robert M Freeman, Ira S Hofer, Girish Nitin Nadkarni, Prem Timsina, Arash Kia, Matthew A Levin
Assessing calibration and bias of a deployed machine learning malnutrition prediction model within a large healthcare system. NPJ digital medicine 7 (1) (2024)
Akhil Vaid, Son Q Duong, Joshua Lampert, Patricia Kovatch, Robert M Freeman, Edgar Argulian, Lori Croft, Stamatios Lerakis, Martin Goldman, Rohan Khera, Girish N Nadkarni
Local large language models for privacy-preserving accelerated review of historic echocardiogram reports. Journal of the American Medical Informatics Association : JAMIA (2024)
Akhil Vaid, Ashwin S Sawant, Mayte Suárez-Fariñas, Juhee Lee, Sanjeev Kaul, Patricia Kovatch, Robert M Freeman, Joy Jiang, Pushkala Jayaraman, Zahi Adel Fayad, Edgar Argulian, Stamatios Lerakis, Alexander W Charney, Fei Wang, Matthew A Levin, Benjamin Scott Glicksberg, Jagat Narula, Ira Hofer, Karandeep S Singh, Girish Nitin Nadkarni
Implications of the Use of Artificial Intelligence Predictive Models in Health Care Settings : A Simulation Study. Annals of internal medicine (2023)
Kim-Anh-Nhi Nguyen, Pranai Tandon, Sahar Ghanavati, Satya Narayana Cheetirala, Prem Timsina, Robert M Freeman, David L Reich, Matthew A Levin, Madhu Mazumdar, Zahi Adel Fayad, Arash Kia
A Hybrid Decision Tree and Deep Learning Approach Combining Medical Imaging and Electronic Medical Records to Predict Intubation Among Hospitalized Patients With COVID-19: Algorithm Development and Validation. JMIR formative research 7 (2023)
Melanie Besculides, Madhu Mazumdar, Sydney Phlegar, Robert M Freeman, Sara Wilson, Himanshu N Joshi, Arash Kia, Ksenia O Gorbenko
Implementing a Machine Learning Screening Tool for Malnutrition: Insights From Qualitative Research Applicable to Other Machine Learning-Based Clinical Decision Support Systems. JMIR formative research 7 (2023)
Ksenia O Gorbenko, Afrah Mohammed, Edward I I Ezenwafor, Sydney Phlegar, Patrick Healy, Tamara Solly, Ingrid Nembhard, Lucy Xenophon, Cardinale B Smith, Robert M Freeman, David Reich, Madhu Mazumdar
Innovating in a crisis: a qualitative evaluation of a hospital and Google partnership to implement a COVID-19 inpatient video monitoring program. Journal of the American Medical Informatics Association : JAMIA 29 (9) (2022)
Shelly Soffer, Eyal Zimlichman, Matthew A Levin, Alexis M Zebrowski, Benjamin S Glicksberg, Robert M Freeman, David L Reich, Eyal Klang
Machine learning to predict in-hospital mortality among patients with severe obesity: Proof of concept study. Obesity science & practice 8 (4) (2022)
Dhavalkumar Patel, Satya Narayan Cheetirala, Ganesh Raut, Jules Tamegue, Arash Kia, Benjamin Scott Glicksberg, Robert M Freeman, Matthew A Levin, Prem Timsina, Eyal Klang
Predicting Adult Hospital Admission from Emergency Department Using Machine Learning: An Inclusive Gradient Boosting Model. Journal of clinical medicine 11 (23) (2022)
Dhavalkumar Patel, Satya Narayan Cheetirala, Ganesh Raut, Jules Tamegue, Arash Kia, Benjamin Scott Glicksberg, Robert M Freeman, Matthew A Levin, Prem Timsina, Eyal Klang
Predicting Adult Hospital Admission from Emergency Department Using Machine Learning: An Inclusive Gradient Boosting Model. Journal of clinical medicine 11 (23) (2022)
Dhavalkumar Patel, Satya Narayan Cheetirala, Ganesh Raut, Jules Tamegue, Arash Kia, Benjamin Scott Glicksberg, Robert M Freeman, Matthew A Levin, Prem Timsina, Eyal Klang
Predicting Adult Hospital Admission from Emergency Department Using Machine Learning: An Inclusive Gradient Boosting Model. Journal of clinical medicine 11 (23) (2022)
Eyal Klang, Robert M Freeman, Matthew A Levin, Shelly Soffer, Yiftach Barash, Adi Lahat
Machine Learning Model for Outcome Prediction of Patients Suffering from Acute Diverticulitis Arriving at the Emergency Department-A Proof of Concept Study. Diagnostics (Basel, Switzerland) 11 (11) (2021)
Shelly Soffer, Benjamin S Glicksberg, Eyal Zimlichman, Orly Efros, Matthew A Levin, Robert M Freeman, David L Reich, Eyal Klang
The association between obesity and peak antibody titer response in COVID-19 infection. Obesity (Silver Spring, Md.) 29 (9) (2021)
Robert P Hirten, Matteo Danieletto, Lewis E Tomalin, Katie Hyewon Choi, Micol Zweig, Eddye A Golden, Sparshdeep Kaur, Drew S Helmus, Anthony Biello, Renata Pyzik, Claudia Calcagno, Robert M Freeman, Bruce E Sands, Dennis S Charney, Erwin P Böttinger, James W Murrough, Laurie Keefer, Mayte Suárez-Fariñas, Girish Nitin Nadkarni, Zahi Adel Fayad
Factors Associated With Longitudinal Psychological and Physiological Stress in Health Care Workers During the COVID-19 Pandemic: Observational Study Using Apple Watch Data. Journal of medical Internet research 23 (9) (2021)
Eyal Klang, Gassan Kassim, Shelly Soffer, Robert M Freeman, Matthew A Levin, David L Reich
Severe Obesity as an Independent Risk Factor for COVID-19 Mortality in Hospitalized Patients Younger than 50. Obesity (Silver Spring, Md.) 28 (9) (2020)
Prathamesh Parchure, Himanshu N Joshi, Kavita Dharmarajan, Robert M Freeman, David L Reich, Madhu Mazumdar, Prem Timsina, Arash Kia
Development and validation of a machine learning-based prediction model for near-term in-hospital mortality among patients with COVID-19. BMJ supportive & palliative care (2020)
Akhil Vaid, Sulaiman S Somani, Adam J Russak, Jessica K De Freitas, Fayzan F Chaudhry, Ishan Paranjpe, Kipp W Johnson, Samuel J Lee, Riccardo Miotto, Felix Richter, Shan P Zhao, Noam D Beckmann, Nidhi Naik, Arash Kia, Prem Timsina, Anuradha Lala, Manish D Paranjpe, Eddye A Golden, Matteo Danieletto, Manbir Singh, Dara Meyer, Paul F O'Reilly, Laura M Huckins, Patricia Kovatch, Joseph Finkelstein, Robert M Freeman, Edgar Argulian, Andrew Kasarskis, Bethany L Percha, Judith A Aberg, Emilia Bagiella, Carol R Horowitz, Barbara Murphy, Eric J Nestler, Eric E Schadt, Judy H Cho, Carlos Cordon-Cardo, Valentin Fuster, Dennis S Charney, David L Reich, Erwin P Böttinger, Matthew A Levin, Jagat Narula, Zahi Adel Fayad, Allan Carpenter Just, Alexander W Charney, Girish Nitin Nadkarni, Benjamin Scott Glicksberg
Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation. Journal of medical Internet research 22 (11) (2020)
Arash Kia, Prem Timsina, Himanshu N Joshi, Eyal Klang, Rohit R Gupta, Robert M Freeman, David L Reich, Max S Tomlinson, Joel T Dudley, Roopa Kohli-Seth, Madhu Mazumdar, Matthew A Levin
MEWS++: Enhancing the Prediction of Clinical Deterioration in Admitted Patients through a Machine Learning Model. Journal of clinical medicine 9 (2) (2020)
Lili Chan, Kumardeep Chaudhary, Aparna Saha, Kinsuk Chauhan, Akhil Vaid, Shan Zhao, Ishan Paranjpe, Sulaiman Somani, Felix Richter, Riccardo Miotto, Anuradha Lala, Arash Kia, Prem Timsina, Li Li, Robert M Freeman, Rong Chen, Jagat Narula, Allan C Just, Carol Horowitz, Zahi Fayad, Carlos Cordon-Cardo, Eric Schadt, Matthew A Levin, David L Reich, Valentin Fuster, Barbara Murphy, John C He, Alexander W Charney, Erwin P Böttinger, Benjamin Scott Glicksberg, Steven G Coca, Girish N Nadkarni, null null
AKI in Hospitalized Patients with COVID-19. Journal of the American Society of Nephrology : JASN 32 (1) (2020)

Robert M Freeman.css-eqlu8i{font-size:small;padding-left:4px;} (Robert Freeman)

Publication Activity (10 Years)

Top Topics

Top Venues

Robert M Freeman (Robert Freeman)