A Simple Free-Text-like Method for Extracting Semi-Structured Data from Electronic Health Records: Exemplified in Prediction of In-Hospital Mortality. - Eyal Klang; Matthew A. Levin; Shelly Soffer; Alexis Zebrowski; Benjamin S. Glicksberg; Brendan G. Carr; Jolion Mcgreevy; David L. Reich; Robert Freeman (Big Data Cogn. Comput., 2021)

Innovating in a crisis: a qualitative evaluation of a hospital and Google partnership to implement a COVID-19 inpatient video monitoring program. - Ksenia Gorbenko; Afrah Mohammed; Edward II Ezenwafor; Sydney Phlegar; Patrick Healy; Tamara Solly; Ingrid Nembhard; Lucy Xenophon; Cardinale Smith; Robert Freeman; David Reich; Madhu Mazumdar (J. Am. Medical Informatics Assoc., 2022)

A Facile Graphene Conductive Polymer Paper Based Biosensor for Dopamine, TNF-α, and IL-6 Detection. - Md Ashiqur Rahman; Ramendra Kishor Pal; Nazmul Islam; Robert Freeman; Francois Berthiaume; Aaron Mazzeo; Ali Ashraf (Sensors, 2023)

AI Literacy for Hispanic-Serving Institution (HSI) Students. - Neelu Sinha; Rama Madhavarao; Robert Freeman; Irene Oujo; Janet Boyd (AAAI Spring Symposia, 2024)

Membership and Participation in our RCD Communities: What is it and how are we doing? - Kirk Anne; Robert Freeman; Chris Reidy; Gabriel King Smith; Gil Speyer; Wei Yin (PEARC, 2024)

Cloud Platforms for Developing Generative AI Solutions: A Scoping Review of Tools and Services. - Dhavalkumar Patel; Ganesh Raut; Satya Narayan Cheetirala; Girish N. Nadkarni; Robert Freeman; Benjamin S. Glicksberg; Eyal Klang; Prem Timsina (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)

Local large language models for privacy-preserving accelerated review of historic echocardiogram reports. - Akhil Vaid; Son Q. Duong; Joshua Lampert; Patricia H. Kovatch; Robert Freeman; Edgar Argulian; Lori Croft; Stamatios Lerakis; Martin Goldman; Rohan Khera; Girish N. Nadkarni (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)

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)

Assessing calibration and bias of a deployed machine learning malnutrition prediction model within a large healthcare system. - Lathan Liou; Erick Scott; Prathamesh Parchure; Yuxia Ouyang; Natalia Egorova; Robert Freeman; Ira S. Hofer; Girish N. Nadkarni; Prem Timsina; Arash Kia; Matthew A. Levin (npj Digit. Medicine, 2024)

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)

Less Context, Same Performance: A RAG Framework for Resource-Efficient LLM-Based Clinical NLP. - Satya Narayan Cheetirala; Ganesh Raut; Dhavalkumar Patel; Fabio Sanatana; Robert Freeman; Matthew A. Levin; Girish N. Nadkarni; Omar Dawkins; Reba Miller; Randolph M. Steinhagen; Eyal Klang; Prem Timsina (CoRR, 2025)