Artificial Intelligence Medical Compendium

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

Showing 20,711 to 20,720 of 216,088 articles

Characterization of telomere-related gene subtypes in lung adenocarcinoma and their implications for prognosis and treatment.

Discover oncology
BACKGROUND: Telomeres, located at chromosome ends, regulate cell division and maintain genomic stability. Telomere-related genes (TRGs) play essential roles in tumorigenesis and immune escape, but their mechanisms in lung adenocarcinoma (LUAD) are no... read more 

Sustainable ectoine production: microbial fermentation, recombinant biosynthesis, downstream processing, and AI-driven process optimization.

Bioprocess and biosystems engineering
Ectoine, a bioactive molecule, has gained significant attention in industrial applications due to its exceptional stabilizing properties. This natural cyclic amino acid derivative, produced by halophiles, plays a crucial role in protecting cells agai... read more 

Advances in Radiotherapy for Soft Tissue Sarcomas in 2025: A Review.

Current oncology reports
PURPOSE OF REVIEW: This review aims to synthesize and critically appraise the most impactful advances in radiotherapy (RT) for soft tissue sarcomas (STSs) reported in 2025, with a focus on technological innovations, fractionation paradigms, combinati... read more 

Comparison of W. Arnett's cephalometric analysis measurements performed using artificial intelligence and manual measurements.

Clinical oral investigations
OBJECTIVES: This study aimed to compare the linear and angular Arnett cephalometric measurements obtained from WebCeph Premium™ with those from manual cephalometric analysis and to assess the reliability of the automated measurements. METHODS: Thirty... read more 

Identification of ribosomal stress related signature genes and immune microenvironment analysis in ovarian cancer based on multi-machine learning.

Discover oncology
BACKGROUND: Ovarian cancer (OC) is a highly aggressive malignancy with poor prognosis and limited response to immunotherapy. Ribosomal stress, a cellular response to disrupted ribosome biogenesis, has been increasingly implicated in tumorigenesis and... read more 

Ensemble learning-guided discovery of anti-tuberculosis phytochemicals: computational prediction and mechanistic insights.

Journal of computer-aided molecular design
Tuberculosis (TB) remains a major global health challenge driven by persistent Mycobacterium tuberculosis infection and increasing drug resistance. Phytochemicals represent a structurally diverse and underexplored chemical space for anti-TB drug disc... read more 

Understanding antimicrobial resistance dynamics of non-typhoidal Salmonella in chickens and ducks - a prospective study from West Bengal, India.

Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology]
This study investigated the antimicrobial resistance (AMR) profile of Salmonella enterica (n = 446) of poultry origin (n = 1020) collected from West Bengal, India. Salmonella Typhimurium (n = 328) were the most frequently isolated serovar and found r... read more 

Integrated imaging-informed and machine learning-based prognostic models for risk stratification in connective tissue disease-associated interstitial lung disease: a multicenter study.

Clinical rheumatology
OBJECTIVES: Connective tissue disease-associated interstitial lung disease (CTD-ILD) exhibits heterogeneous clinical outcomes, and traditional ILD-GAP score provides limited prognostic precision. We hypothesized that integration of imaging-derived fi... read more 

Brain stroke detection and classification using deep learning-based transCBAMSegNet and hybrid transformer models.

Physical and engineering sciences in medicine
Stroke is a life-threatening neurological condition that requires rapid assessment to reduce mortality and long-term disability. Accurate lesion segmentation and reliable stroke type classification from brain computed tomography (CT) images are essen... read more 

[Chinese expert consensus on the standardized application of generative artificial intelligence large models in ophthalmology (2026)].

[Zhonghua yan ke za zhi] Chinese journal of ophthalmology
With the rapid development of generative artificial intelligence (AI) technologies and large AI models, these technologies are expected to play an important role in multiple aspects of medical workflows in ophthalmology. However, their rapid and wide... read more