Artificial Intelligence Medical Compendium

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

Showing 45,611 to 45,620 of 224,055 articles

Non-suicidal self-injury in middle school students: Influencing factors and a risk prediction model.

Journal of affective disorders
Non-suicidal self-injury (NSSI) is becoming increasingly prevalent and harmful among adolescents, yet its intrinsic mechanism and early identification remain to be further explored. To investigate the influencing factors of NSSI in junior high school... read more 

Automated phenotyping of rodent behavior in the Cylinder Exploration Test using machine learning.

Neuroscience
Rodent models are essential in neuroscience research for investigating brain function, CNS disease mechanisms, and therapeutic interventions. Beyond molecular and physiological analyses, precise behavioral characterization provides crucial functional... read more 

Molecular Modeling and machine learning for predicting high-concentration antibody viscosity.

Advanced drug delivery reviews
High-concentration monoclonal antibody formulations are essential for subcutaneous delivery but often exhibit elevated viscosity, posing challenges in drug development, manufacturing, and administration. Understanding high concentration viscosity beh... read more 

A comprehensive survey on medical concept normalization: Datasets, techniques, applications, and future directions.

Journal of biomedical informatics
Medical concept normalization (MCN) involves mapping informal medical terms or phrases to standardized medical concepts, serving a crucial role in medical text analysis, healthcare intelligence, and other applications. Previous studies have primarily... read more 

Is there a role for deep neural networks-based artificial intelligence for optimized music selection to reduce stress in surgical cancer patients?

Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract
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Developing a metric for bone union in mandibular reconstruction using quantitative CT.

Journal of stomatology, oral and maxillofacial surgery
BACKGROUND: Objective quantification of bone union after mandibular reconstruction is important for evaluating reconstructive outcomes, yet current assessments are largely semi-quantitative. OBJECTIVE: To explore the feasibility of using opportunisti... read more 

Di-(2-ethylhexyl) terephthalate promotes breast cancer progression: Multi-omics integrated experimental validation.

Chemico-biological interactions
Di-(2-ethylhexyl) terephthalate (DOTP), as an alternative to phthalate plasticizers, has been widely used in sensitive fields such as food packaging and medical devices. However, there remains a gap in the assessment of its systemic carcinogenic risk... read more 

Multi-omics profiling reveals cholic acid-mediated immunosuppression driven by peritumoral ductular reactions in hepatocellular carcinoma.

Cancer letters
Hepatocellular carcinoma remains a leading cause of cancer mortality worldwide, with peritumoral microenvironment interactions playing a critical role in disease progression. This multi-omics study employed artificial intelligence-pathology, single-n... read more 

Hoof lesion detection in lactating Holsteins: Part II. Development and on-farm validation of a predictive classification model using autonomous camera system data compared to passive surveillance.

Journal of dairy science
Hoof lesion detection remains a challenge in lameness management on dairy farms. Recent studies have proposed locomotion score (LS)-based thresholds using an autonomous camera system (AUTO), which generates BCS and LS. However, these thresholds have ... read more 

Algal Sentinel: a novel web application for early warning and forecasting of Ostreopsis cf. ovata blooms in the Italian Southern Adriatic Sea.

Marine pollution bulletin
The toxic benthic dinoflagellate Ostreopsis cf. ovata causes harmful algal blooms (HABs) in the Apulia region of southern Italy. These HABs pose real threat to human health. Therefore, it was crucial to develop a model capable of predicting HABs befo... read more