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http://dx.doi.org/10.1038/s43588-025-00848-z | DOI Listing |
J Palliat Med
September 2025
Skaggs School of Pharmacy & Pharmaceutical Sciences, UC San Diego Health Sciences, San Diego, California, USA.
Artificial intelligence (AI), particularly large language models (LLMs), offers the potential to augment clinical decision-making, including in palliative care pharmacy, where personalized treatment and assessments are important. Despite the growing interest in AI, its role in clinical reasoning within specialized fields such as palliative care remains uncertain. This study examines the performance of four commercial-grade LLMs on a Script Concordance Test (SCT) designed for pharmacy students in a pain and palliative care elective, comparing AI outputs with human learners' performance at baseline.
View Article and Find Full Text PDFAJR Am J Roentgenol
September 2025
Department of Radiology, Stanford University, Stanford, CA, USA.
The increasing complexity and volume of radiology reports present challenges for timely critical findings communication. To evaluate the performance of two out-of-the-box LLMs in detecting and classifying critical findings in radiology reports using various prompt strategies. The analysis included 252 radiology reports of varying modalities and anatomic regions extracted from the MIMIC-III database, divided into a prompt engineering tuning set of 50 reports, a holdout test set of 125 reports, and a pool of 77 remaining reports used as examples for few-shot prompting.
View Article and Find Full Text PDFFront Psychol
August 2025
Faculty of Information Technology, Monash University, Melbourne, VIC, Australia.
Psychology's crises (e.g., replicability, generalisability) are currently believed to derive from Questionable Research Practices (QRPs), thus scientific misconduct.
View Article and Find Full Text PDFNat Comput Sci
September 2025
Department of Linguistics, Stanford University, Stanford, CA, USA.
J Allergy Clin Immunol
September 2025
University of Groningen, University Medical Center Groningen, Beatrix Children's Hospital, Department of Pediatric Pulmonology and Pediatric Allergology, Groningen, the Netherlands; University of Groningen, University Medical Center Groningen, Groningen Research Institute for Asthma and COPD (GRIAC)
Artificial intelligence (AI) is increasingly recognized for its capacity to transform medicine. While publications applying AI in allergy and immunology have increased, clinical implementation substantially lags behind other specialties. By mid-2024, over 1,000 FDA-approved AI-enabled medical devices existed, but none specifically addressed allergy and immunology.
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