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Natural Language Processing for Identification of Hospitalized People Who Use Drugs: Cohort Study

Natural Language Processing for Identification of Hospitalized People Who Use Drugs: Cohort Study

The presence of any of the following criteria (ie, abbreviated with the letters B, D, M, and N) were used to qualify the hospitalizations for inclusion in the PWUD cohort: B (Biomarkers): In line with a previous study, positive urine toxicology for drugs or medications for SUD (eg, cocaine, amphetamine, methadone, suboxone, fentanyl, opiate, oxycodone), positive HCV antibody with positive or quantifiable HCV viral load [29] D (Diagnostic codes): Presence of ICD-9 and or ICD-10 code for overdose, substance use

Taisuke Sato, Emily D Grussing, Ruchi Patel, Jessica Ridgway, Joji Suzuki, Benjamin Sweigart, Robert Miller, Alysse G Wurcel

JMIR AI 2025;4:e63147

A Resource-Efficient, High-Dose, Gamified Neurorehabilitation Program for Chronic Stroke at Home: Retrospective Real-World Analysis

A Resource-Efficient, High-Dose, Gamified Neurorehabilitation Program for Chronic Stroke at Home: Retrospective Real-World Analysis

(D) The Izar, a therapeutic device to train hand function, being grasped in a hand. Suggested weekly schedule. These telerehabilitation sessions were guided directly by a physical therapist who was present via video conferencing. The therapist was free to schedule 30-minute synchronous sessions with a patient at a frequency determined by their clinical judgment.

Spencer A Arbuckle, Anna Sophie Knill, Michelle H Chan-Cortés, Gabriela Rozanski, Anastasia Elena Ford, Louis T Derungs, John W Krakauer, Naveed Ejaz, David Putrino, Jenna Tosto-Mancuso, Meret Branscheidt

JMIR Serious Games 2025;13:e69335