Recommendations for patient similarity classes: results of the AMIA 2019 workshop on defining patient similarity. - Nathan D. Seligson; Jeremy L. Warner; William S. Dalton; David Martin; Robert S. Miller; Debra Patt; Kenneth L. Kehl; Matvey B. Palchuk; Gil Alterovitz; Laura K. Wiley; Ming Huang 006; Feichen Shen; et al. (J. Am. Medical Informatics Assoc., 2020)

Empirical evaluation of language modeling to ascertain cancer outcomes from clinical text reports. - Haitham Elmarakeby; Pavel S. Trukhanov; Vidal M. Arroyo; Irbaz Bin Riaz; Deborah Schrag; Eliezer M. Van Allen; Kenneth L. Kehl (BMC Bioinform., 2023)

MatchMiner-AI: An Open-Source Solution for Cancer Clinical Trial Matching. - Ethan Cerami; Pavel Trukhanov; Morgan A. Paul; Michael J. Hassett; Irbaz B. Riaz; James Lindsay; Emily Mallaber; Harry Klein; Gufran Gungor; Matthew Galvin; Stephen C. Van Nostrand; Joyce Yu; et al. (CoRR, 2024)

Collaborative large language models for automated data extraction in living systematic reviews. - Muhammad Ali Khan; Umair Ayub; Syed Arsalan Ahmed Naqvi; Kaneez Zahra Rubab Khakwani; Zaryab bin Riaz Sipra; Ammad Raina; Sihan Zhou; Huan He; Amir Saeidi; Bashar Hasan; Robert Bryan Rumble; Danielle S. Bitterman; et al. (J. Am. Medical Informatics Assoc., 2025)

Empirical evaluation of artificial intelligence distillation techniques for ascertaining cancer outcomes from electronic health records. - Irbaz Bin Riaz; Syed Arsalan Ahmed Naqvi; Noman Ashraf; Gordon J. Harris; Kenneth L. Kehl (npj Digit. Medicine, 2025)