Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 40,071 to 40,080 of 223,737 articles

Ontology-Based Medication Named Entity Recognition Using Pretrained Transformer Models From a Thai Hospital: Model Fine-Tuning and Validation Study.

JMIR formative research
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 

Artificial Intelligence as a Catalyst for Value-Based Health Insurance in the United States: Narrative Review and Policy Perspective.

JMIR AI
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 

Methylene Cycloalkene as a Reactive 1,3-Diene for Enantioselective Hydroamination.

Journal of the American Chemical Society
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 

ChatGPT versus UpToDate in Preclinical Medical Education: Cross-Sectional Analysis Using Term Frequency-Inverse Document Frequency Cosine Similarity.

JMIR medical education
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 

Long Short-Term Memory-GPT-4 Integration for Interpretable Biomedical Signal Classification: Proof-of-Concept Study.

JMIR formative research
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 

Algorithm prediction of lifetime under high-power microwave based on T-type field plate HEMTs.

Nanotechnology
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 

Average glandular dose prediction for breast model with patient-specific fibroglandular distribution in mammography and digital breast tomosynthesis: a machine-learning algorithms comparison.

Physics in medicine and biology
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 

StructEIT: Realistic 3D EIT model generation from CT scans for deep learning applications.

Physiological measurement
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 

Pilot study: external validation of commercial veterinary radiology artificial intelligence services shows deficiencies in interpretation of general practice-sourced canine abdominal radiographs.

Journal of the American Veterinary Medical Association
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 

Evaluating eight smoking metrics for modelling survival in non-small cell lung cancer.

Cancer epidemiology
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