Artificial Intelligence Medical Compendium

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

Showing 20,891 to 20,900 of 216,088 articles

Diagnostic Accuracy of Commercial Large Language Models for Anogenital Skin Lesion Images: A Comparative Study of Gemini, Claude and ChatGPT.

The Journal of infectious diseases May 9, 2026
BACKGROUND: Diagnosing anogenital dermatological conditions often requires specialist expertise that is unavailable in many clinical settings. Large language models (LLMs) are increasingly accessible to clinicians, but their diagnostic accuracy for a... read more 

Single-cell profiling identifies a pro-tumoral VCAN positive macrophage subset and defines a prognostic signature in glioblastoma.

Discover oncology May 9, 2026
Glioblastoma (GBM), the most aggressive primary brain tumor, develops within a tumor microenvironment (TME) dominated by tumor-associated macrophages (TAMs) that critically influence disease progression. Through single-cell RNA sequencing (scRNA-seq)... read more 

The Human Mind in Dialogue With its Replica AI - a Historical Perspective.

Integrative psychological & behavioral science May 9, 2026
Although artificial intelligence has exploded for the last couple of years, the idea of comparing the human mind with a computer is not new. One may say that Alan Turing started this movement, and this idea got off to a flying start in psychology thr... read more 

Machine Learning-driven Prediction of Cervical Cancer Cell Viability After Treatment With Thymoquinone, Curcumin, and 5-Fluorouracil.

Applied biochemistry and biotechnology May 9, 2026
Cervical cancer remains prevalent among women globally, driven by uncontrolled cell proliferation and evasion of apoptosis. Phytochemicals like Thymoquinone (TQ) and Curcumin (CUR) are gaining attention for their safety, affordability, and biological... read more 

A deep learning model for automated identification of age-related macular degeneration atrophy.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie May 9, 2026
Age-related macular degeneration (AMD), a leading cause of visual impairment and blindness among the elderly, is projected to affect 288 million individuals globally by 2040. Advanced AMD, including complete retinal pigment epithelium and outer retin... read more 

Integrating ConvNeXt tiny and radiomics in a nomogram to differentiate true progression from pseudoprogression in glioma.

Neuroradiology May 9, 2026
PURPOSE: Differentiating true progression (TP) from pseudoprogression (PsP) in glioma is challenging due to overlapping enhancement patterns on conventional MRI. Therefore, a reliable noninvasive approach integrating imaging heterogeneity is needed t... read more 

Use of Generative Artificial Intelligence in the Management of Low Back Pain: a Scoping Review.

Journal of medical systems May 9, 2026
BACKGROUND CONTEXT: Low back pain (LBP) is common and a major cause of disability globally. Generative artificial intelligence (GenAI) such as ChatGPT may have the potential to improve LBP, but it is unknown how GenAI is being used in clinical care s... read more 

Artificial intelligence-driven rational design and optimization of a potent terpenoid-derived PCSK9 inhibitor.

Molecular diversity May 9, 2026
Hypercholesterolemia is a pivotal risk factor for cardiovascular diseases, and its effective management is critical to reducing cardiovascular event incidence. The protein-protein interaction (PPI) between PCSK9 and low-density lipoprotein receptor (... read more 

Rapid evaluation of the comprehensive quality of paeonol/cyclodextrin supramolecular complexes using CASSA based on near-infrared spectroscopy combined with artificial intelligence.

Molecular diversity May 9, 2026
Supramolecular complexes of volatile components and cyclodextrin are widely used to improve the stability of volatile compounds. However, the quality assessment of these complexes remains challenging. In this study, paeonol/cyclodextrin complexes wer... read more 

Exploring anti-dengue activity with atomic-weighted vectors, class balancing and machine learning.

Molecular diversity May 9, 2026
Dengue is a major mosquito-borne viral disease with no effective antiviral treatment currently available. This work introduces a machine-learning framework to predict anti-dengue activity in small molecules using Atomic-Weighted Vector (AWV) descript... read more 
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