Artificial Intelligence Medical Compendium

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

Showing 11 to 20 of 223,469 articles

Sex-specific associations of the plasma-proteome with incident coronary artery disease.

Cardiovascular research
AIMS: The etiology of coronary artery Disease (CAD) appears different for men and women, yet insights into underlying sex-specific biological mechanisms are limited. We integrated genomic and proteomic analyses to investigate sex-specific association... read more 

Quantitative morphometry of the cervix using deep learning and geometric area estimation techniques.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics
OBJECTIVE: Estimation of the actual cervix area observed during the colposcopy is a critical step towards accurate diagnosis, as hidden areas may lead to malignancy in the future. In the present study, an automated algorithm was developed that uses a... read more 

Artificial intelligence and ultra-high performance computing methods and experiments for drug discovery: virtual screening, deep learning, molecular dynamics simulations, ADMET modelling, and experimental validation.

Molecular biomedicine
Recent years have witnessed considerable progress in computer-aided drug discovery, driven by the incorporation of computational technologies within both academic and pharmaceutical environments. This evolution is marked by a significant accumulation... read more 

Creating bottom-up RNA transfer vehicles from synthetic protein assemblies.

Nature
Evolution guides biological systems to populate ecological niches, with viruses among the most successful examples of this principle. Viruses evolved over billions of years to efficiently transfer genetic information. Although viruses are highly dive... read more 

Will Artificial Intelligence Replace Me? Automation Susceptibility of Emergency Physician Tasks.

Annals of emergency medicine
STUDY OBJECTIVE: To apply Autor's labor economics task framework to classify emergency physician tasks by automation susceptibility and map current artificial intelligence (AI) capabilities to each category. METHODS: We synthesized 6 published time-m... read more 

Large-Sized Micropillars Enable Superior Performance MXene/PDMS Piezoresistive Sensors Toward Accurate Musical Tone Recognition.

Small (Weinheim an der Bergstrasse, Germany)
Here we present a flexible MXene/polydimethylsiloxane (PDMS) piezoresistive sensor featuring large-sized micropillars (hundreds of micrometers), which promote continuous stress transfer and dynamic interfacial contact evolution, thereby alleviating t... read more 

Implementation of a passive bin-based perpetual medication inventory model within ambulatory clinics at an academic medical center.

American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists
PURPOSE: Ambulatory clinics manage high-cost medications with little visibility into quantity or movement, leaving unrealized opportunities for inventory optimization. Automated dispensing cabinets, common in inpatient settings, address this issue bu... read more 

New thinking for the next generation of antimalarials.

EMBO molecular medicine
Despite decades of intensive research and substantial clinical gains, malaria remains a major global health challenge exacerbated by the continued emergence of drug-resistant strains of the causative agent, Plasmodium parasites. Encouragingly, recent... read more 

A deep learning method for preterm birth prediction using wavelet representations and auxiliary features from electrohysterogram.

Medical & biological engineering & computing
Electrohysterogram (EHG) has been reported as promising way of predicting preterm birth, often relying on conventional machine learning approaches. However, the EHG modeling by deep learning has not been sufficiently investigated yet, probably due to... read more 

Hourly ozone prediction using ensemble forecasting to accurately capture peak concentration: a case study of Tehran, Iran.

Environmental science and pollution research international
Accurate short-term ozone (O3) forecasting is critical for mitigating respiratory and ecological impacts, protecting public health, and guiding urban air quality management. This study presents the Residual-Aware Meta Ensemble (RAME), a hybrid deep l... read more