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Large Language Model Approach for Zero-Shot Information Extraction and Clustering of Japanese Radiology Reports: Algorithm Development and Validation.
JMIR Cancer
January 2025
Division of Radiology and Biomedical Engineering, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Background: The application of natural language processing in medicine has increased significantly, including tasks such as information extraction and classification. Natural language processing plays a crucial role in structuring free-form radiology reports, facilitating the interpretation of textual content, and enhancing data utility through clustering techniques. Clustering allows for the identification of similar lesions and disease patterns across a broad dataset, making it useful for aggregating information and discovering new insights in medical imaging.
View Article and Find Full Text PDFAccuracy of ChatGPT 3.5, 4.0, 4o and Gemini in diagnosing oral potentially malignant lesions based on clinical case reports and image recognition.
Med Oral Patol Oral Cir Bucal
January 2025
15, Trauma Centre, District Hospital Neemuch Madhya Pradesh - 458441, India
Background: The accurate and timely diagnosis of oral potentially malignant lesions (OPMLs) is crucial for effective management and prevention of oral cancer. Recent advancements in artificial intelligence technologies indicates its potential to assist in clinical decision-making. Hence, this study was carried out with the aim to evaluate and compare the diagnostic accuracy of ChatGPT 3.
View Article and Find Full Text PDFPredictors of 15-year transitions across living and care settings in a population of Swedish older adults.
Age Ageing
January 2025
Aging Research Center, Department Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.
Objective: We aimed to investigate the association of sociodemographic, clinical and functional characteristics with the volume of transitions and specific trajectories across living and care settings.
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From intuition to innovation: Empirical illustrations of multimodal measurement in psychotherapy research.
Psychother Res
January 2025
Department of Psychology, University of Kansas, Lawrence, KS, USA.
Background: This special section underscores the potential of multimodal measurement approaches to transform psychotherapy research. A multimodal approach provides a more comprehensive understanding than any single modality (type of collected information) can provide on its own.
Methods: Traditionally, clinicians and researchers have relied on their intuition, experience, and training to integrate different types of information in a psychotherapy session/treatment.
Conceptualizing a load and volume autoregulation integrated velocity model to minimize neuromuscular fatigue and maximize neuromuscular adaptations in resistance training.
Eur J Appl Physiol
January 2025
College of Kinesiology, University of Saskatchewan, Saskatoon, SK, Canada.
Resistance training (RT) load and volume are considered crucial variables to appropriately prescribe and manage for eliciting the targeted acute responses (i.e., minimizing neuromuscular fatigue) and chronic adaptations (i.
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