Artificial Intelligence Medical Compendium

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

Showing 59,391 to 59,400 of 227,876 articles

Ligand-based machine learning models to classify active compounds for prostaglandin EP2 receptor.

Scientific reports Jan 21, 2026
Prostaglandin receptors are pharmacologically validated targets with implications in several medical indications, including glaucoma, cardiac cyanotic disease, pulmonary hypertension, oncology, and various rare diseases. In this study, we developed a... read more 

Integration of AR and deep learning-based image classification using CNN for construction project monitoring.

Scientific reports Jan 21, 2026
With manual update, progress monitoring of a construction project is notably challenging due to its labor-intensive and time-consuming nature. The issue of manual update has been proposed to be alleviated by automatic update, but most existing AI-bas... read more 

An efficient and consistent framework for multi-rank taxonomic identification in wildlife images.

Scientific reports Jan 21, 2026
Accurate and scalable taxonomic classification is essential for biodiversity research, supporting systematic species identification across multiple hierarchical ranks. However, current image-based classification methods often fail to enforce taxonomi... read more 

Scaling digital models.

Scientific reports Jan 21, 2026
The development of accurate digital models (DMs) for physical systems requires virtual representations that faithfully capture the underlying physics of the system or equipment being represented. Physics-based DMs provide reliable predictions only wh... read more 

A lightweight YOLO-based model for accurate detection of red pepper clusters in robotic harvesting.

Scientific reports Jan 21, 2026
When picking red pepper clusters, occlusion and overlapping fruit are major challenges hindering the development of intelligent red pepper cluster picking robots. To achieve accurate and efficient picking, we proposed a lightweight red pepper cluster... read more 

Object detection on low-compute edge SoCs: a reproducible benchmark and deployment guidelines.

Scientific reports Jan 21, 2026
Deploying deep learning-based object detectors on low-compute edge AI SoCs remains challenging, as real-world performance depends on factors beyond nominal TOPS ratings, including architectural design, memory bandwidth, and system-level contention. T... read more 

Proteomic profiling of single extracellular vesicles as a promising new approach for the diagnosis and treatment modality of advanced ovarian cancer.

NPJ precision oncology Jan 21, 2026
This study utilized a novel Proximity Barcoding Assay to perform high-resolution proteomic profiling of individual plasma extracellular vesicles from 85 patients with advanced high-grade serous ovarian carcinoma (OC) and 95 healthy controls (HC). Sin... read more 

Transcriptomic profiling and machine learning uncover gene signatures of psoriasis endotypes and disease severity.

Communications medicine Jan 21, 2026
BACKGROUND: Despite increased understanding of psoriasis pathogenesis, molecular classification of clinical phenotypes and disease severity is poorly defined. Knowledge gaps include whether molecular endotypes of psoriasis underlie distinct clinical ... read more 

Annotation-free 3D reconstruction and quantification of retinal microvasculature by RADAR.

NPJ digital medicine Jan 21, 2026
Three-dimensional mapping of retinal microvasculature is essential for monitoring systemic vascular health. Existing methods rely heavily on manual annotation or training-intensive deep learning models that lack generalizability. Here we report RADAR... read more 

Quality assessment of RNA 3D structure models using deep learning and intermediate 2D maps.

Communications biology Jan 21, 2026
Accurate quality assessment is critical for computational prediction and design of RNA three-dimensional (3D) structures, yet it remains a significant challenge. In this work, we introduce RNArank, a deep learning-based approach to both local and glo... read more 
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