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Using Large Language Models to Automate Data Extraction From Surgical Pathology Reports: Retrospective Cohort Study

Denise Lee, Akhil Vaid, Kartikeya M Menon, Robert Freeman, David S Matteson, Michael L Marin, Girish N Nadkarni

JMIR Form Res 2025;9:e64544

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Ecological Momentary Assessment of Self-Harm Thoughts and Behaviors: Systematic Review of Constructs From the Integrated Motivational-Volitional Model

Lizzy Winstone, Jon Heron, Ann John, Olivia J Kirtley, Paul Moran, Jennifer Muehlenkamp, Rory C O'Connor, Becky Mars

JMIR Ment Health 2024;11:e63132

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Traditional Machine Learning, Deep Learning, and BERT (Large Language Model) Approaches for Predicting Hospitalizations From Nurse Triage Notes: Comparative Evaluation of Resource Management

Dhavalkumar Patel, Prem Timsina, Larisa Gorenstein, Benjamin S Glicksberg, Ganesh Raut, Satya Narayan Cheetirala, Fabio Santana, Jules Tamegue, Arash Kia, Eyal Zimlichman, Matthew A Levin, Robert Freeman, Eyal Klang

JMIR AI 2024;3:e52190

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Exploring Machine Learning Applications in Pediatric Asthma Management: Scoping Review

Tanvi Ojha, Atushi Patel, Krishihan Sivapragasam, Radha Sharma, Tina Vosoughi, Becky Skidmore, Andrew D Pinto, Banafshe Hosseini

JMIR AI 2024;3:e57983

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Developing an Automated Virtual Reality Therapy for Improving Positive Self-Beliefs and Psychological Well-Being (Phoenix VR Self-Confidence Therapy): Tutorial

The primary outcome was usability (Table 3 and Table 4) and satisfaction with the Phoenix program, with secondary outcomes of positive self-beliefs (measured by the Ox Pos) and psychological well-being (a full description of this cohort study was provided by Freeman et al [27]). The same usability questionnaire administered during user testing in the develop phase was also used with patients in the case series.

Laina Rosebrock, Jason Freeman, Aitor Rovira, Andre Lages Miguel, Rupert Ward, Matthew Bousfield, Ludovic Riffiod, Roya Kamvar, Thomas Kabir, Felicity Waite, Daniel Freeman