AI Medical Compendium

Deep learning-based H&E-derived risk scores in colorectal cancer: associations with tumour morphology, biology, and predicted drug response.

The Journal of pathology Feb 20, 2026

Over recent years, several deep learning (DL) models have been presented to predict colorectal cancer (CRC) patient survival directly from haematoxylin and eosin (H&E)-stained routine whole-slide images (WSIs). Unlike traditional studies that rely on... read more

Decision thresholds for machine learning pre-operative risk assessment.

Anaesthesia Feb 20, 2026

Innovative Ways to Use Artificial Intelligence in Nursing Education.

The Journal of nursing education Feb 20, 2026

BACKGROUND: Since the introduction of artificial intelligence (AI) platforms, many nurse educators have been slow to adopt AI, and so they have been missing opportunities to enhance teaching and learning through increased AI competency. This article ... read more

Systematic multi-component profiling of Xiangju Rupining Capsule via online comprehensive two-dimensional liquid chromatography-quadrupole time-of-flight mass spectrometry coupled with stepwise acquisition workflow and multivariate data mining.

Journal of chromatography. A Feb 20, 2026

Deep learning assisted classification, preferred ion lists guided acquisition, and molecular network visualization analysis (DPM) stepwise acquisition workflows integrate a series of algorithms and functions for the characterization of chemical compo... read more

CL-MHAD: Contrastive Learning-based Multi-Hypergraph Aggregation and Diffusion model for prescription recommendation.

Artificial intelligence in medicine Feb 20, 2026

Multiple syndrome-based prescription recommendations are significant for personalized diagnosis and treatment in Traditional Chinese Medicine (TCM). However, it remains a challenge to effectively extract and fuse multi-dimensional knowledge in herbs ... read more

Next-generation computational strategies for neurodegenerative biomarkers: Multi-omics integration, AI, and molecular modeling.

Computational biology and chemistry Feb 20, 2026

Neurodegenerative diseases (NDs) are progressively debilitating conditions driven by complex molecular perturbations and selective neuronal loss. Conventional approaches to discovering biomarkers, using single-omics or empirical screening, often fail... read more

Electron spectra measurements in linear accelerators via neural network reconstruction from percentage depth dose (PDD) data.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine Feb 20, 2026

This work presents a novel methodology for the indirect measurement of electron energy spectra produced by a linear accelerator, in which artificial neural networks are applied to solve a first-kind Fredholm integral equation linking percentage depth... read more

GAFD-CC: Global-aware feature decoupling with confidence calibration for out-of-distribution detection.

Neural networks : the official journal of the International Neural Network Society Feb 20, 2026

Out-of-distribution (OOD) detection is paramount to ensuring the reliability and robustness of learning models in real-world applications. Existing post-hoc OOD detection methods detect OOD samples by leveraging their features and logits information ... read more

Emerging trends and converging evidence in tumor evolution: A comprehensive review.

Drug resistance updates : reviews and commentaries in antimicrobial and anticancer chemotherapy Feb 20, 2026

BACKGROUND: Tumor evolution is a spatiotemporal dynamic process orchestrated by the interplay of genetic mutations, epigenetic reprogramming, and bidirectional microenvironmental interactions, which collectively generate the phenotypic diversity nece... read more

Memory-guided mask reconstruction with central contrastive learning for robust multivariate time series anomaly detection.