Artificial Intelligence Medical Compendium

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

Showing 67,081 to 67,090 of 232,511 articles

Development of an Infectious Disease Vulnerability Index (IDVI) for dairy farms: A data-driven approach to assessing risk and informing biosecurity practices.

Preventive veterinary medicine
Dairy farms are vulnerable to a wide range of infectious diseases, which can have significant economic and public health consequences. However, there remains a lack of a robust, farm-level tool that assesses their disease vulnerability. The primary o... read more 

Artificial Intelligence in detection of acute coronary occlusion in NSTEMI patients.

Current problems in cardiology
The prognosis of patients with MI has improved significantly with the recognition that early reperfusion is critical, particularly since timely percutaneous coronary intervention (PCI) became widely adopted. The invasive reperfusion era also reshaped... read more 

The scope of cardiology research: More than 300 topics covered through bibliometric evaluation.

Current problems in cardiology
This study provides a bibliometric overview of cardiovascular-related bibliometric research identified in the Scopus database using a title-abstract-keyword (TAK) search strategy. A total of 2,069 records were identified, with original articles (n = ... read more 

Challenges in the diagnosis and management of hypertrophic cardiomyopathy and the promise of artificial intelligence.

Current problems in cardiology
Hypertrophic cardiomyopathy (HCM), the most prevalent inherited cardiomyopathy, is characterized by left ventricular hypertrophy that typically manifests with asymmetric wall thickening and is not caused by a pressure overload state or systemic disea... read more 

Evolution and design shape protein dynamics in LOV domains - spanning picoseconds to days.

Journal of molecular biology
Light-sensitive proteins allow organisms to perceive and respond to their environment, and have diversified over billions of years. Among these, Light-Oxygen-Voltage (LOV) domains are widespread photosensors that control diverse physiological process... read more 

Small data, big challenges: Machine- and deep-learning strategies for data-limited drug discovery.

Advanced drug delivery reviews
A critical bottleneck limiting the potential of Machine Learning (ML) and Deep Learning (DL) models within the drug discovery and development (DDD) pipeline is the scarcity of high-quality experimental data. Limited data is not an anomaly but an inhe... read more 

Virtual screening of sweet peptides from milk protein and molecular dynamics simulations mechanism analysis.

Journal of dairy science
Bioactive peptides derived from milk proteins have attracted increasing interest due to their potential as natural sweet-tasting compounds. In this study, an integrated in silico strategy was developed to identify sweet peptides from milk proteins. T... read more 

Targeting High-Risk Populations for Abdominal Aortic Aneurysm Screening: A Sex-Stratified Analysis in an Ethnicity Diverse Cohort Incorporating Machine Learning Tools.

Annals of vascular surgery
BACKGROUND: Abdominal aortic aneurysm (AAA) is usually asymptomatic, but rupture carries up to 90% mortality. Ultrasound screening reduces rupture-related mortality in ever-smoking men older than 65. Women have 4-fold lower prevalence but worse outco... read more 

Screening channelrhodopsins using robotic intracellular electrophysiology and single cell sequencing.

Journal of neuroscience methods
BACKGROUND: Our ability to engineer opsins is limited by an incomplete understanding of how sequence variations influence function. The vastness of opsin sequence space makes systematic exploration difficult. NEW METHOD: In recognition of the need fo... read more 

Differential factor effects in comorbid depressive and anxiety symptoms (CDAS): A machine learning approach to individualized mental health promotion.

Journal of affective disorders
BACKGROUND: Depression and anxiety comorbid presents greater severity than isolated symptoms. Traditional analyses often fail to capture complex interactions among multidimensional risk and protective factors. OBJECTIVE: To develop a predictive model... read more