Artificial Intelligence Medical Compendium

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

Showing 42,031 to 42,040 of 223,853 articles

Lung cancer as a global health challenge: Multidimensional biomarker research and therapeutic advances.

International journal of cancer Mar 13, 2026
Lung cancer, the leading cause of global cancer-related mortality, is categorized into small-cell and non-small-cell subtypes. The heterogeneous non-small-cell lung cancer group is further subcategorized primarily into adenocarcinoma, squamous cell c... read more 

Automated CTA-Derived Collateral Grading and Morphologic Metrics for Enhanced Prediction of Post-Stroke Outcomes.

AJNR. American journal of neuroradiology Mar 13, 2026
BACKGROUND AND PURPOSE: Collateral circulation is a key determinant of treatment response and outcomes in acute ischemic stroke (AIS), yet its assessment in clinical practice remains limited and subjective. While CT perfusion (CTP) offers insight int... read more 

Cost-Effectiveness of AI-Assisted Detection of Apical Periodontitis on Panoramic Radiographs.

International endodontic journal Mar 13, 2026
BACKGROUND: Artificial intelligence (AI) is transforming medical imaging, yet its economic impact in dentistry remains largely unexplored. AIM: This study evaluated the cost-effectiveness of AI-assisted detection of apical periodontitis on panoramic ... read more 

Using multilabel classification neural network to detect intersectional DIF with small sample sizes.

The British journal of mathematical and statistical psychology Mar 13, 2026
This study introduces InterDIFNet, a multilabel classification neural network for detecting intersectional differential item functioning (DIF) in educational and psychological assessments, with a focus on small sample sizes. Unlike traditional margin... read more 

Machine learning assisted single-molecule sensing towards standard-free quantification of per- and polyfluoroalkyl carboxylic acids.

Nature communications Mar 13, 2026
Per- and polyfluoroalkyl carboxylic acids (PFCAs) are of global concern for their ubiquitous presence in the environment. However, precise quantification of PFCAs remains challenging due to the shortage of standards. Herein, with the aid of machine l... read more 

Impact of solvent forces and broken symmetry on the assembly of designed proteins at a liquid-solid interface.

Nature communications Mar 13, 2026
The era of protein design has enabled the creation of hybrid protein-inorganic interfaces, leading to both surface-directed self-assembly of de novo protein architectures and protein-directed formation of inorganic materials. However, the resulting p... read more 

Machine learning and the role of the vaginal and fecal microbiome in miscarriage: a matched case-control study.

NPJ biofilms and microbiomes Mar 13, 2026
Miscarriage occurs in approximately 15% of all pregnancies, and recent studies have suggested a potential role of the microbiome. A nested case-control study from the Swedish Maternal Microbiome cohort was conducted, including 34 participants who sen... read more 

PETWB-REP: A Multi-Cancer Whole-Body FDG PET/CT Dataset with Corresponding Radiology Reports.

Scientific data Mar 13, 2026
Publicly available, large-scale medical imaging datasets are crucial for developing and validating artificial intelligence (AI) models and conducting retrospective clinical research. However, multimodal datasets that integrate functional and anatomic... read more 

Humans with function-disrupting variants in the myostatin gene (MSTN) have increased skeletal muscle mass and strength, and less adiposity.

Nature communications Mar 13, 2026
Myostatin negatively regulates skeletal muscle size in multiple species, and therefore, myostatin blockade has been therapeutically explored to promote muscle growth in humans, including to counter the muscle loss seen in obese humans using GLP1R ago... read more 

Data-driven intelligent carbonization unifies diverse biomass into high-performance hard carbon negative electrodes.

Nature communications Mar 13, 2026
Sustainable batteries necessitate high-performance hard carbon negative electrodes derived from abundant biomass. However, realizing their full potential is significantly limited by the inherent diversity of biomass feedstocks, the intricate control ... read more 
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