BACKGROUND: Extracting accurate medication information from Thai hospital records presents challenges due to the narrative style of medical notes, which often combine Thai and English terminology. Named entity recognition (NER) serves as the foundati... read more
The United States health insurance system is at a critical crossroads. Inflating costs, fragmented care, and administrative inefficiencies have revealed the limitations of the Fee-for-Service (FFS) model. This long-standing structure, while once effe... read more
Journal of the American Chemical Society
Mar 20, 2026
Herein, we report the first enantioselective functionalization of methylene cycloalkenes─an underexplored class of reactive 1,3-dienes. The process involves a palladium-catalyzed enantioselective hydroamination of methylene cycloalkenes using pyrazol... read more
BACKGROUND: Generative artificial intelligence tools such as ChatGPT are increasingly used by medical students for self-directed learning. Although these models demonstrate linguistic fluency, their reliability as supplementary resources for preclini... read more
BACKGROUND: Approximately 3.8 billion people lack access to essential health services, and diagnostic interpretation remains a major bottleneck in remote and resource-constrained settings. Limited access to specialists and the complexity of biomedica... read more
In order to predict the reliability of high electron mobility transistors (HEMT) devices under high-power microwave (HPM) stress, a deep learning algorithm network model was constructed to predict the device lifetime. The influence of HPM stress on H... read more
Objective To investigate Machine Learning (ML) methodologies for predicting glandular dose conversion coefficients for breast models with patient-specific fibroglandular distribution (Γpatient) in digital mammography (DM) and digital breast tomosynth... read more
OBJECTIVE: Artificial intelligence (AI) has significantly improved image reconstruction quality across various medical imaging modalities. However, its application in electrical impedance tomography (EIT) reconstruction remains limited, mainly due to... read more
Journal of the American Veterinary Medical Association
Mar 20, 2026
OBJECTIVE: To evaluate the diagnostic performance of commercial veterinary radiology AI platforms on general practice canine abdominal radiographs with confirmed diagnoses. METHODS: For this pilot study, canine abdominal radiographs with definitive d... read more
INTRODUCTION: Smoking is a strong modifiable prognostic factor for lung cancer survival. We compared eight smoking metrics to determine which metric best models the relationship between smoking exposure with overall survival (OS) and lung cancer-spec... read more
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