Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 32,051 to 32,060 of 220,797 articles
Impact of artificial intelligence-based automated segmentation on the accuracy of robotic computer-aided implant surgery: a retrospective study.
Journal of dentistry
Apr 13, 2026
OBJECTIVES: This retrospective study aimed to evaluate the impact of artificial intelligence (AI)-based automated segmentation (AS) on the accuracy of robotic computer-aided implant surgery (r-CAIS). METHODS: Patients who underwent r-CAIS were enroll... read more
Large-scale brain network alteration among OCD patients with suicidal thoughts and behavior: A microstate analysis of the electroencephalogram.
Journal of affective disorders
Apr 13, 2026
BACKGROUND: The prevalence of suicidality in obsessive-compulsive disorder (OCD) is understudied. Moreover, identifying neurobiological markers of suicidal thoughts and behavior (STBs) is crucial. Electroencephalogram (EEG) microstates, which reflect... read more
Clinicopathological and Imaging Distinction Between Ocular Adnexal MALT Lymphoma and IgG4-Related Ophthalmic Disease.
American journal of ophthalmology
Apr 13, 2026
PURPOSE: To characterize clinicopathologic and imaging differences between ocular adnexal mucosa-associated lymphoid tissue lymphoma (OAML) and IgG4-related ophthalmic disease (IgG4-ROD) and to evaluate clinical and artificial intelligence-assisted a... read more
A GeoML-XAI framework for identifying high PM2.5 areas and source attribution: Application to an agricultural environment.
Environmental research
Apr 13, 2026
Air pollution remains a major environmental health concern, with fine particulate matter (PM2.5) posing significant risks to human health. Although emission sources in urban and industrial areas have been widely investigated, spatial assessment and s... read more
Evaluation of the impact of glycolysis-related gene signatures on prognosis and therapeutic targeting in lung adenocarcinoma.
Cytotechnology
Apr 13, 2026
Abnormal glycolysis is one of the hallmarks of cancer and plays a significant role in its progression. This study investigates the association between glycolysis genes and the progression of lung adenocarcinoma (LUAD). Utilizing various bioinformatic... read more
A data-driven analysis of artificial intelligence applications in depression research: 2020-2025.
Asian journal of psychiatry
Apr 13, 2026
With the rapid advancement of artificial intelligence (AI) technologies, increasing numbers of researchers have explored the integration of AI into depression research. In this study, we conducted a bibliometric analysis of research related to the ap... read more
Deep learning magnetic resonance imaging algorithm for differentiating metastatic vertebral fractures.
The spine journal : official journal of the North American Spine Society
Apr 13, 2026
BACKGROUND CONTEXT: Distinguishing malignant metastatic lesions from benign osteoporotic vertebral compression fractures (VCFs) is a major diagnostic challenge in spine practice; delays or errors can lead to inappropriate management and missed opport... read more
Standardizing MRI-only radiotherapy commissioning: Benchmark dataset and acceptance levels from the MESCAL initiative.
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
Apr 13, 2026
BACKGROUND: Magnetic Resonance Imaging (MRI)-only radiotherapy (RT) is increasingly adopted, but still lacks standardized commissioning procedures. This variability limits consistent clinical implementation: the Multicenter Evaluation of commercial S... read more
AI-assisted transformation of PD-L1 inhibitory peptides into small molecules using amino acid mapping descriptor and activity improvement through structure-based drug design.
Bioorganic & medicinal chemistry letters
Apr 13, 2026
We present a novel strategy for the conversion of macrocyclic peptides into small molecules to identify potent and membrane-permeable protein-protein interaction (PPI) inhibitors. Our approach utilizes amino acid mapping (AAM) descriptors in conjunct... read more
Molecular Fingerprints Are Strong models for Peptide Function Prediction.
Bioinformatics (Oxford, England)
Apr 13, 2026
MOTIVATION: Understanding peptide properties is often assumed to require modeling long-range molecular interactions, motivating complex graph neural networks and pretrained transformers. Whether such long-range dependencies are essential remains uncl... read more
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