Artificial Intelligence Medical Compendium

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

Showing 18,561 to 18,570 of 214,544 articles

A comparative study on in-situ and ex-situ microwave catalytic co-pyrolysis for phenolic bio-oil production through machine learning and response surface methodology.

Bioresource technology
The production of phenolic-rich bio-oil from biomass is a promising route for sustainable chemical generation. This study investigates the effects of the co-feeding ratio of corn stover and rice husk and the Fe-biochar catalyst ratio on bio-oil and p... read more 

Cu₂O@CuS nanozymes as a cross-reactive sensing platform: Machine learning-enabled discrimination of sulfur compounds in milk.

Food chemistry
Detection of sulfur compounds is important in the dairy industry for ensuring food safety. Herein, we develop a colorimetric sensor array based on peroxidase-like Cu₂O@CuS nanocubes to simultaneously discriminate multiple sulfur compounds, thereby ov... read more 

Data-driven decision support in hospital resource planning: an artificial intelligence-based model proposal for emergency department demand.

International journal of medical informatics
BACKGROUND: The sustainability of service quality in healthcare systems is directly related to accurate resource planning, especially in emergency departments with high unpredictability. This study aims to analyze the impact of meteorological factors... read more 

Identification and validation of cholesterol homeostasis and NK cell-associated predictive and therapeutic models for Coronary atherosclerotic heart disease patients with ST-elevated myocardial infarction: Insights from artificial intelligence and multi-omics.

Computational biology and chemistry
OBJECTIVE: Dysregulation of Cholesterol homeostasis(CH) and NK cells proportion can increase risk of ST-Elevated Myocardial Infarction(STEMI) for Coronary atherosclerotic heart disease(CAD) patients. Hence, it is necessary for the investigation of CH... read more 

Interfacial impedance engineering in ionic hydrogels for integrated enzymatic and electrophysiological sensing.

Biosensors & bioelectronics
Interfacial charge-transfer resistance remains a critical bottleneck in wearable enzymatic biosensors, particularly in soft, deformable systems, where impedance instability limits signal amplification. Here, we introduce an impedance-engineered dual-... read more 

Using Generative AI to Appraise the Quality of Medical Education Research Studies: Agreement Between AI-Generated and Human MERSQI Scores.

AEM education and training
OBJECTIVES: The increasing volume of medical education research necessitates efficient, reliable, and scalable methods for conducting quality appraisals. The Medical Education Research Study Quality Instrument (MERSQI) is a widely used tool, although... read more 

Spectral clustering identifies patterns of chiropractic care in a national longitudinal cohort.

JAMIA open
OBJECTIVE: Characterise longitudinal patterns of chiropractic visits for neck pain or low back pain by using machine learning (ML) methods and explainable models. DATA AND METHODS: Using de-identified claims data from 2016 to 2023 for adults from the... read more 

Data-driven differentiation analysis of urban high-tech industries: Research on bibliometrics and large language models.

PloS one
This study examines inter-city heterogeneity in China's high-tech industries from a regional innovation systems (RIS) perspective, with a particular focus on how variations in knowledge production, technological application, and actor configurations ... read more 

Generative artificial intelligence for inpatient documentation summarization: mixed-methods quality assessment and early real-world experience.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: We evaluated the quality and adoption of a large language model (LLM)-based summarization tool for ongoing hospital care. MATERIALS AND METHODS: An AI summarization tool was created to provide a "Patient Story", specialty-specific "Recent ... read more