AI Medical Compendium

Flicker-Suppressed Neuromorphic Unit for Dynamic Vision Processing.

ACS nano Feb 25, 2026

Inspired by the dynamic visual perception of flying insects, rapid collision warning systems are crucial for advancing autonomous driving and machine control. Although neuromorphic devices show significant potential for replicating insect vision syst... read more

Progress toward real-world diagnostic applications of microfluidic paper-based analytical devices (μPADs).

Lab on a chip Feb 25, 2026

Since their first report in 2007, microfluidic paper-based analytical devices (μPADs) have continued to gain attention as promising tools for point-of-care diagnostics due to their low cost, portability, ease of operation, and design flexibility. Thi... read more

Allostery between Distant Structural Regions Dictates Selectivity in GPCR:G Protein Coupling.

Biochemistry Feb 25, 2026

Despite extensive structural and functional studies, the molecular mechanisms governing G-protein coupled receptor-G (GPCR-G) protein coupling selectivity remain unresolved. Here, using an interpretable machine learning Bayesian Network model with Mo... read more

Methodological considerations for validating a machine learning model predicting recurrence after ESD in superficial esophageal cancer.

Annals of medicine Feb 25, 2026

FragNet: A Graph Neural Network for Molecular Property Prediction with Four Levels of Interpretability.

Journal of the American Chemical Society Feb 25, 2026

Molecular property prediction is essential in a variety of contemporary scientific fields, such as drug development and the design of energy storage materials. Although there are many machine learning models available for this purpose, those that ach... read more

Broadband Nanocavity Imaging with Machine Vision for Multiplex miRNA Assays.

Advanced materials (Deerfield Beach, Fla.) Feb 25, 2026

Sensitive and multiplexed quantification of microRNAs (miRNAs) remains challenging due to their short length, low abundance, and sequence homology, particularly in complex biological matrices. This paper presents an approach that combines a distribut... read more

Deep Learning-Based Prediction of Trabecular Bone Mineral Density From Lumbar CT: A Superior Alternative to DEXA in Hyperostosis.

Global spine journal Feb 25, 2026

Study DesignRetrospective Cohort Study.ObjectivesThis study explores using deep learning to predict lumbar spine bone mineral density (BMD) from CT images, aiming to improve osteoporosis and osteopenia detection and facilitate early intervention. Whi... read more

Comprehensive assessment of postoperative metachronous liver metastasis risk in colon cancer based on inflammatory indicators: a multicenter prospective study.

International journal of surgery (London, England) Feb 25, 2026

OBJECTIVE: Insidiousness is a hallmark of metachronous liver metastasis. Owing to the absence of a comprehensive machine-learning model integrating systemic inflammatory indicators for predicting metachronous liver metastasis after colon cancer surge... read more

The Utility of Automated, Data-Driven Clinical Support in Telemedicine for Critical Illness: A Survey-Based Study.

Critical care explorations Feb 25, 2026

A growing number of data-driven clinical decision support (CDS) tools are incorporated into tele-critical care, but the clinician perceptions of their utility are largely unknown. The objective of this web-based survey study was to understand the per... read more

Comment on "Artificial Intelligence for predicting post-excision recurrence and malignant progression in oral potentially malignant disorders: a retrospective cohort study".