Artificial Intelligence Medical Compendium

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

Showing 27,271 to 27,280 of 218,763 articles

From fragmented to flawless: A large-scale synthetic micrograph library for benchmarking microstructural image restoration.

Data in brief
The accurate extraction of grain boundaries from metallographic images is a prerequisite for quantitative microstructural analysis, but it is often hindered by experimental artifacts such as noise, etching pits, scratches, and incomplete boundaries. ... read more 

Herbal extracts as antibiotic adjuvants against ESKAPE pathogens: mechanisms and therapeutic potential.

Engineering microbiology
The escalating crisis of antimicrobial resistance, particularly driven by ESKAPE pathogens, poses a serious threat to global public health. With the stagnant pipeline of novel antibiotic discovery, repurposing herbal extracts as antibiotic adjuvants ... read more 

Machine learning-based identification of key genes underlying sex differences in hepatocellular carcinoma and targeted drug screening.

Biomedical reports
Hepatocellular carcinoma (HCC) shows a marked predominance in men, yet the molecular basis for this sex disparity remains unclear. The present study leveraged multi-omics data and machine learning algorithms to identify key genes associated with sex-... read more 

An open-access fire detection image dataset for research in computer vision and safety monitoring.

Data in brief
This article presents the Fire Recognition Image Dataset, a comprehensive collection of images designed to support research in fire detection, smoke recognition, and safety monitoring using computer vision techniques. The dataset was created by syste... read more 

Dataset of pulse - echo ultrasonic a - scan signals for derived recovery features of NMC - 622 cathode slurries during post - mixing structural evolution.

Data in brief
This data article presents an open ultrasonic pulse - echo dataset acquired from NMC - 622 cathode slurries monitored under static conditions to characterise their post - mixing structural recovery behaviour. Slurries were prepared at varying solid c... read more 

Mapping knowledge structure and emerging trends in non-invasive brain-computer interface for stroke rehabilitation.

IBRO neuroscience reports
OBJECTIVE: To explore the current research landscape and emerging frontiers in the application of non‑invasive brain-computer interface (BCI) technology in the field of stroke. METHODS: Publications related to non‑invasive BCI technology in stroke we... read more 

The ecological framework of population health - Adding public trust as a forcing factor for U.S. life expectancy and COVID-19 mortality.

Public health in practice (Oxford, England)
OBJECTIVES: What are the factors that set the stage for health status and outcomes in the United States (U.S.)? This complex question is rarely considered in a comprehensive way. The current study employs an artificial intelligence analysis to assess... read more 

Integrating multi-omics data for enhanced prognosis prediction in gastric cancer post-neoadjuvant therapy.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
BACKGROUND: Neoadjuvant therapy is crucial for locally advanced gastric cancer (LAGC), yet response varies significantly. Traditional models based on clinicopathological features often lack precision. This study aimed to develop and validate a compre... read more 

Predicting Achilles tendon and patellofemoral joint forces during running with consumer-grade wearable sensor data.

Journal of biomechanics
Estimating internal forces at common injury locations may identify injury-prone runners but requires in-lab gait analysis. Consumer-grade wearable-sensors track key gait metrics, which may enable prediction of internal forces during real-world runnin... read more 

CNV-Hub: an integrated web-based platform for CNV classification and interpretation using multi-algorithm consensus.

NAR genomics and bioinformatics
Copy number variations (CNVs) are genomic alterations that can cause rare genetic diseases. Their interpretation requires consulting multiple databases and following classification guidelines, such as those from the American College of Medical Geneti... read more