Artificial Intelligence Medical Compendium

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

Showing 32,971 to 32,980 of 221,227 articles

Multigated DNA Cascade Amplifier for Ultrasensitive Spatiotemporal Imaging of PLS3 mRNA at the Single-Cell Level for Early Detection of Breast Cancer Metastasis.

Analytical chemistry Apr 10, 2026
Early detection of small metastatic foci is crucial for improving breast cancer patient survival. Plastin-3 (PLS3) has emerged as a key biomarker in breast cancer metastasis due to its role in cytoskeletal remodeling and cell motility. Herein, we dev... read more 

Views of People With Psychosis About Algorithm-Based Relapse Prediction and Data Sharing: Qualitative Study.

Journal of medical Internet research Apr 10, 2026
BACKGROUND: Preventing relapses of psychosis is difficult and important. Digital remote monitoring (DRM) systems are being developed and tested to support this. Increasingly, these systems use algorithm-based relapse prediction. Hence, understanding ... read more 

Context-Aware Sentence Classification of Radiology Reports Using Synthetic Data: Development and Validation Study.

Journal of medical Internet research Apr 10, 2026
BACKGROUND: Automated structuring of radiology reports is essential for data utilization and the development of medical artificial intelligence models. However, manual annotation by experts is labor-intensive, and processing real clinical data throug... read more 

AI-enabled psychometric and psychophysiological assessment in psychiatric comorbidity of oncology patients: A systematic review.

Journal of psychosocial oncology Apr 10, 2026
BACKGROUND: The state of psychological distress, including depression and anxiety, is very common among patients with cancer. Common screening tools are usually subjective and limited in terms of their abilities to monitor continuous. AIM: The purpos... read more 

Machine-Learning-Guided Discovery of CH4 Combustion Catalysts Operating in the Presence of SO2.

Journal of the American Chemical Society Apr 10, 2026
Methane (CH4) combustion under lean conditions is a critical reaction for controlling unburned hydrocarbon emissions in natural gas engines. However, the development of highly active and sulfur-tolerant catalysts remains a major challenge due to the ... read more 

Linear-Scaling and Memory-Efficient Implementation of van-der-Waals Interaction (DFT-D3) for Large Systems.

Journal of chemical theory and computation Apr 10, 2026
The van der Waals (vdW) interaction is ubiquitous in materials and is long-range by nature. To facilitate vdW-included atomic simulations in large systems with tens of thousands of atoms, we developed LASP-D3, a Compute Unified Device Architecture (C... read more 

Beyond GPT-4: The Rapidly Evolving Potential of Large Language Models for Clinical Guideline Improvement.

Journal of medical Internet research Apr 10, 2026
This commentary reviews the study by Jones et al, which evaluated whether GPT-4 could improve the readability of injectable medication guidelines while preserving important safety information. The study found that GPT-4 produced modest readability ga... read more 

Accurate 3D Structure Prediction of Small Cyclic Peptides Containing Non-Canonical Amino Acid Residues Using an All-Atom Diffusion Model with Stereogenic Implementation.

Journal of chemical information and modeling Apr 10, 2026
Cyclic peptides are promising drug candidates due to their structural stability, proteolytic resistance, and potential oral bioavailability. While recent generalized biomolecular models have expanded to support noncanonical amino acids (NCAAs), high-... read more 

An Open-Source Deep Learning Framework for Automated Corneal Segmentation in Anterior Segment Optical Coherence Tomography With Cross-Device External Validation.

Cornea Apr 10, 2026
PURPOSE: To develop a deep learning model-Cornea nnU-Net Extractor (CUNEX)-for full-thickness corneal segmentation of anterior segment optical coherence tomography (AS-OCT) images and evaluate its utility in artificial intelligence research. METHODS:... read more 

Clinical relevance of the characterisation and quantification of CD8+ T-cell infiltration in high-grade serous ovarian carcinoma using machine learning-based image analysis of dual immunostaining.

Revista espanola de patologia : publicacion oficial de la Sociedad Espanola de Anatomia Patologica y de la Sociedad Espanola de Citologia Apr 10, 2026
INTRODUCTION: High-grade serous carcinoma (HGSC) is the most common and aggressive subtype of ovarian cancer. Although tumour stage and complete cytoreduction are key prognostic factors, the tumour immune microenvironment also influences prognosis, w... read more 
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