Extracting Social Isolation Information From Psychiatric Notes in the Electronic Health Records. - Lauren A. Lepow; Braja Gopal Patra; Isotta Landi; Prakash Adekkanattu; Jyotishman Pathak; Mark Olfson; J. John Mann; Euijung Ryu; Joanna M. Biernacka; Girish N. Nadkarni; Priya Wickramaratne; Myrna Weissman; et al. (AMIA, 2021)

HeartBEiT: Vision Transformer for Electrocardiogram Data Improves Diagnostic Performance at Low Sample Sizes. - Akhil Vaid; Joy Jiang; Ashwin Sawant; Stamatios Lerakis; Edgar Argulian; Yuri Ahuja; Joshua Lampert; Alexander Charney; Hayit Greenspan; Benjamin S. Glicksberg; Jagat Narula; Girish N. Nadkarni (CoRR, 2022)

Autoencoders for sample size estimation for fully connected neural network classifiers. - Faris F. Gulamali; Ashwin Sawant; Patricia H. Kovatch; Benjamin S. Glicksberg; Alexander Charney; Girish N. Nadkarni; Eric K. Oermann (npj Digit. Medicine, 2022)

Online Unsupervised Representation Learning of Waveforms in the Intensive Care Unit via a novel cooperative framework: Spatially Resolved Temporal Networks (SpaRTEn). - Faris F. Gulamali; Ashwin Sawant; Ira S. Hofer; Matthew A. Levin; Alexander Charney; Karandeep Singh; Benjamin S. Glicksberg; Girish N. Nadkarni (MLHC, 2023)

An AI-Guided Data Centric Strategy to Detect and Mitigate Biases in Healthcare Datasets. - Faris F. Gulamali; Ashwin S. Sawant; Lora Liharska; Carol R. Horowitz; Lili Chan; Patricia H. Kovatch; Ira S. Hofer; Karandeep Singh; Lynne D. Richardson; Emmanuel Mensah; Alexander W. Charney; David L. Reich; et al. (CoRR, 2023)

Clinical Text Deduplication Practices for Efficient Pretraining and Improved Clinical Tasks. - Isotta Landi; Eugenia Alleva; Alissa A. Valentine; Lauren A. Lepow; Alexander W. Charney (CoRR, 2023)

A foundational vision transformer improves diagnostic performance for electrocardiograms. - Akhil Vaid; Joy Jiang; Ashwin Sawant; Stamatios Lerakis; Edgar Argulian; Yuri Ahuja; Joshua Lampert; Alexander Charney; Hayit Greenspan; Jagat Narula; Benjamin S. Glicksberg; Girish N. Nadkarni (npj Digit. Medicine, 2023)

A novel method leveraging time series data to improve subphenotyping and application in critically ill patients with COVID-19. - Wonsuk Oh; Pushkala Jayaraman; Pranai Tandon; Udit S. Chaddha; Patricia H. Kovatch; Alexander W. Charney; Benjamin S. Glicksberg; Girish N. Nadkarni (Artif. Intell. Medicine, 2024)

Generative Large Language Models are autonomous practitioners of evidence-based medicine. - Akhil Vaid; Joshua Lampert; Juhee Lee; Ashwin Sawant; Donald Apakama; Ankit Sakhuja; Ali Soroush; Denise Lee; Isotta Landi; Nicole Bussola; Ismail Nabeel; Robbie Freeman; et al. (CoRR, 2024)

Extracting Social Support and Social Isolation Information from Clinical Psychiatry Notes: Comparing a Rule-based NLP System and a Large Language Model. - Braja Gopal Patra; Lauren A. Lepow; Praneet Kasi Reddy Jagadeesh Kumar; Veer Vekaria; Mohit Manoj Sharma; Prakash Adekkanattu; Brian Fennessy; Gavin Hynes; Isotta Landi; Jorge A. Sanchez-Ruiz; Euijung Ryu; Joanna M. Biernacka; et al. (CoRR, 2024)

The Point of View of a Sentiment: Towards Clinician Bias Detection in Psychiatric Notes. - Alissa A. Valentine; Lauren A. Lepow; Alexander W. Charney; Isotta Landi (CoRR, 2024)

Fair Machine Learning for Healthcare Requires Recognizing the Intersectionality of Sociodemographic Factors, a Case Study. - Alissa A. Valentine; Alexander W. Charney; Isotta Landi (CoRR, 2024)

Evaluating the accuracy of a state-of-the-art large language model for prediction of admissions from the emergency room. - Benjamin S. Glicksberg; Prem Timsina; Dhaval Patel; Ashwin Sawant; Akhil Vaid; Ganesh Raut; Alexander W. Charney; Donald Apakama; Brendan G. Carr; Robert Freeman; Girish N. Nadkarni; Eyal Klang (J. Am. Medical Informatics Assoc., 2024)

Derivation, external and clinical validation of a deep learning approach for detecting intracranial hypertension. - 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 H. Kovatch; et al. (npj Digit. Medicine, 2024)

Multimodal fusion learning for long QT syndrome pathogenic genotypes in a racially diverse population. - Joy Jiang; Ha My Thi Vy; Alexander Charney; Patricia H. Kovatch; Vivek Reddy; Pushkala Jayaraman; Ron Do; Rohan Khera; Sumeet Chugh; Deepak L. Bhatt; Akhil Vaid; Joshua Lampert; et al. (npj Digit. Medicine, 2024)

A strategy for cost-effective large language model use at health system-scale. - Eyal Klang; Donald Apakama; Ethan E. Abbott; Akhil Vaid; Joshua Lampert; Ankit Sakhuja; Robert Freeman; Alexander W. Charney; David Reich; Monica Kraft; Girish N. Nadkarni; Benjamin S. Glicksberg (npj Digit. Medicine, 2024)

Extracting social support and social isolation information from clinical psychiatry notes: comparing a rule-based natural language processing system and a large language model. - Braja Gopal Patra; Lauren A. Lepow; Praneet Kasi Reddy Jagadeesh Kumar; Veer Vekaria; Mohit Manoj Sharma; Prakash Adekkanattu; Brian Fennessy; Gavin Hynes; Isotta Landi; Jorge A. Sanchez-Ruiz; Euijung Ryu; Joanna M. Biernacka; et al. (J. Am. Medical Informatics Assoc., 2025)

A distributional reinforcement learning model for optimal glucose control after cardiac surgery. - Jacob Desman; Zhang-Wei Hong; Moein Sabounchi; Ashwin S. Sawant; Jaskirat Gill; Ana C. Costa; Gagan Kumar; Rajeev Sharma; Arpeta Gupta; Paul McCarthy; Veena Nandwani; Doug Powell; et al. (npj Digit. Medicine, 2025)