Artificial Intelligence Medical Compendium

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

Showing 471 to 480 of 234,501 articles

Fully automated diaphragm segmentation on routine 2D-cine and 3D thoracic MRI: multireader validation.

European radiology experimental
OBJECTIVE: The diaphragm is central to respiratory mechanics and may be impaired in various diseases. Parametric magnetic resonance imaging (MRI) assessment is limited by time-consuming manual segmentation. We developed and validated fully automated ... read more 

Fluorogenic RNA aptamers in cancer: emerging platforms for molecular imaging, biosensing, and precision oncology.

Molecular biology reports
Fluorogenic RNA aptamers have emerged as powerful molecular tools for cancer imaging, biosensing, and biomarker detection due to their high specificity, low background fluorescence, and genetic encodability. These short RNA molecules activate fluores... read more 

Cross-domain signal grammars of transcription termination.

Advanced biotechnology
Transcription termination establishes gene boundaries, recycles RNA polymerase, and prevents interference between neighboring transcription units. Termination depends on cis-acting elements, trans-acting factors, and the susceptibility of the elongat... read more 

Toward integrated multimodal artificial intelligence in bone marrow examination: current state and open challenges.

Blood research
Bone marrow (BM) examinations are intrinsically multimodal: hematopathologists integrate peripheral blood, aspirate cytomorphology, trephine histology, flow cytometry, cytogenetics, and molecular genetics data into a single interpretation. Because WH... read more 

Large language model assistance for report-based carotid plaque AHA classification: a multi-reader study.

Insights into imaging
OBJECTIVES: To evaluate whether large language model assistance improves radiologists' agreement with a text-based reference standard in inferring the modified American Heart Association carotid plaque classification from free-text MRI reports, and w... read more 

Deepweed: Automated Individual Segmentation and Tracking for Duckweed Lineage Analysis.

Bioinformatics (Oxford, England)
MOTIVATION: Aquatic duckweeds, including Wolffia australiana, are the smallest and fastest growing flowering plants on the planet, with numerous emerging biotechnological applications. Duckweed populations grow through rapid clonal budding, but exist... read more 

Consensus machine learning for interpretable road-user fatality risk analysis: Evidence from the Canadian National Collision Database.

Traffic injury prevention
OBJECTIVES: Fatal road traffic collisions account for a small proportion of reported crashes but impose a disproportionate societal and public health burden. This study evaluates interpretable machine-learning models and proposes a consensus machine ... read more 

The missing layer: decision integrity as a verifiable assurance layer in interpretive clinical artificial intelligence.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Interpretive clinical artificial intelligence (AI), in which a clinician interprets an image or signal and an AI system offers a competing or confirming read, is increasingly routine in radiology, pathology, dermatology, and endoscopy. Ove... read more 

Personality Inference From Semistructured Interviews Using Large Language Models: Comparative Evaluation Study.

Journal of medical Internet research
BACKGROUND: Personality traits are central to understanding human behavior and life outcomes, yet their assessment remains challenging due to biases and limited expressiveness in traditional self-report inventories. The emergence of large language mo... read more 

Interpretable machine learning analysis of immune-inflammatory biomarkers for predicting no-reflow in patients with acute myocardial infarction after percutaneous coronary intervention.

Annals of medicine
OBJECTIVE: To evaluate whether routine immune-inflammatory biomarkers predict no-reflow (NR) after percutaneous coronary intervention (PCI) in acute myocardial infarction (AMI) patients, quantify their incremental predictive value over clinical varia... read more