Untapped Potential of Clinical Text for Opioid Surveillance. - Amy L. Olex; Tamás Gál; Majid Afshar; Dmitriy Dligach; Niranjan S. Karnik; Travis Oakes; Brihat Sharma; Meng Xie; Bridget T. McInnes; Julian Solway; Abel N. Kho; William Cramer; et al. (AMIA, 2019)

Identification of Latent Subtypes of Patients with Opioid Misuse. - Brihat Sharma; Majid Afshar; Dmitriy Dligach; Robert Kanie; Elizabeth Salisbury-Afshar; Niranjan S. Karnik; Cara Joyce (AMIA, 2019)

Natural language processing and machine learning to identify alcohol misuse from the electronic health record in trauma patients: development and internal validation. - Majid Afshar; Andrew Phillips; Niranjan S. Karnik; Jeanne Mueller; Daniel To; Richard Gonzalez; Ron Price; Richard S. Cooper; Cara Joyce; Dmitriy Dligach (J. Am. Medical Informatics Assoc., 2019)

Publicly available machine learning models for identifying opioid misuse from the clinical notes of hospitalized patients. - Brihat Sharma; Dmitriy Dligach; Kristin Swope; Elizabeth Salisbury-Afshar; Niranjan S. Karnik; Cara Joyce; Majid Afshar (BMC Medical Informatics Decis. Mak., 2020)

A multi-label classifier to screen different types of substance misuse in hospitalized patients. - Brihat Sharma; Dmitriy Dligach; Hale Thomson; Matthew M. Churpek; Niranjan S. Karnik; Majid Afshar (AMIA, 2021)

Bias and fairness assessment of a natural language processing opioid misuse classifier: detection and mitigation of electronic health record data disadvantages across racial subgroups. - Hale M. Thompson; Brihat Sharma; Sameer Bhalla; Randy Boley; Connor McCluskey; Dmitriy Dligach; Matthew M. Churpek; Niranjan S. Karnik; Majid Afshar (J. Am. Medical Informatics Assoc., 2021)

"The library is so much more than books": considerations for the design and implementation of teen digital mental health services in public libraries. - Ashley A. Knapp; Emily Hersch; Clarisa Wijaya; Miguel A. Herrera; Kaylee Payne Kruzan; Allison J. Carroll; Sydney Lee; Alex Baker; Alanna Gray; Vann Harris; Robert Simmons; Deepika Kour Sodhi; et al. (Frontiers Digit. Health, 2023)

Environment Scan of Generative AI Infrastructure for Clinical and Translational Science. - Betina Idnay; Zihan Xu; William G. Adams; Mohammad Adibuzzaman; Nicholas R. Anderson 001; Neil Bahroos; Douglas S. Bell; Cody Bumgardner; Thomas R. Campion Jr.; Victor M. Castro; James J. Cimino; I. Glenn Cohen; et al. (CoRR, 2024)

Transatlantic transferability and replicability of machine-learning algorithms to predict mental health crises. - João Guerreiro; Roger Garriga; Toni Lozano Bagén; Brihat Sharma; Niranjan S. Karnik; Aleksandar Matic (npj Digit. Medicine, 2024)