Artificial Intelligence Medical Compendium

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

Showing 491 to 500 of 200,021 articles

De Novo Design of Membrane-Targeting Antimicrobial Peptides Against Gram-Negative Bacteria Using a Generative Artificial Intelligence Framework.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Jun 2, 2026
Antimicrobial resistance (AMR), particularly Gram-negative bacteria, poses significant challenges due to their robust outer membranes limiting antibiotic efficacy. Antimicrobial peptides (AMPs) show promising potential to replace traditional antibiot... read more 

ProSiteHunter: A Unified Framework for Sequence-Based Prediction of Protein-Nucleic Acid and Protein-Protein Binding Sites.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Jun 2, 2026
Accurate identification of protein binding sites is essential for elucidating protein function, decoding molecular recognition, and guiding drug design. However, existing sequence-based approaches are often designed for specific binding-site types an... read more 

A Foundation Model Based CT Biomarker for Non-Invasive Prediction of Response to Neoadjuvant Immunochemotherapy in Non-Small Cell Lung Cancer.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Jun 2, 2026
Predicting pathological complete response (pCR) to neoadjuvant immunochemotherapy in non-small cell lung cancer (NSCLC) is clinically important yet remains challenging. Here, we introduce a foundation model-derived computed tomography (CT) imaging bi... read more 

[Artificial intelligence in molecular pathology : Introduction and overview].

Pathologie (Heidelberg, Germany) Jun 2, 2026
Over the past approximately 15 years, pathology has undergone a significant transformation, accompanied by increasing mechanization, technological advancement, and digitization within the field. Molecular pathology plays a significant role in this co... read more 

Deep Learning-Based Acoustic Screening for Penetration-Aspiration Events Using Short Voice Recordings.

Dysphagia Jun 2, 2026
To evaluate the feasibility of a smartphone-based deep learning artificial intelligence (AI) tool for detecting post-swallow airway compromise through brief acoustic analysis of voice recordings obtained before and after swallowing. This multicenter ... read more 

Associations of serum per- and polyfluoroalkyl substances (PFAS) mixture with the risk of chronic diseases: evidence from single‑ , multi-pollutant, and machine learning models.

Archives of toxicology Jun 2, 2026
Per- and polyfluoroalkyl substances (PFAS) are persistent chemicals commonly found in consumer products. Despite growing concern over their health effects, their associations with chronic diseases in humans are still unclear. We included 10,093 parti... read more 

PPAOT predictor: ARKA-RASTR strategy-driven rodent acute oral toxicity prediction for pyrazole and pyrrolidine scaffolds-based chemicals with intelligent mechanistic interpretation.

Archives of toxicology Jun 2, 2026
Pyrazole and pyrrolidine represent two classes of high-frequency nitrogen-containing "privileged scaffolds" in drug discovery and industrial chemicals; however, their potential acute toxicity poses significant challenges to clinical translation and i... read more 

Integrating deep learning techniques for analysis of chin morphology among Han Chinese individuals using a large cone-beam computed tomography dataset.

Clinical oral investigations Jun 2, 2026
OBJECTIVES: To characterize chin morphology and investigate its associations with sex, as well as various sagittal and vertical skeletal patterns. MATERIALS AND METHODS: A total of 743 cone-beam computed tomography (CBCT) images (322 males, 421 femal... read more 

Artificial intelligence-driven data expansion for the validation of spinopelvic parameter correlations in asymptomatic subjects.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society Jun 2, 2026
BACKGROUND: The study of spinopelvic alignment in asymptomatic individuals is essential for understanding physiological sagittal balance and establishing reference values for spinal deformity assessment. However, the availability of large datasets of... read more 

Multimodal AI for early prediction of adverse clinical outcomes in acute pancreatitis.

Abdominal radiology (New York) Jun 2, 2026
BACKGROUND: Conventional clinical scoring systems and contrast-enhanced computed tomography (CECT) interpretation provide limited accuracy in predicting adverse outcomes in early acute pancreatitis (AP). This leads to suboptimal patient management an... read more 
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