AI Medical Compendium

A comprehensive review of explainable artificial intelligence in healthcare methods, evaluation, and clinical integration.

iScience Feb 16, 2026

Explainable artificial intelligence (XAI) is essential for healthcare trust, yet a substantial gap persists between XAI techniques and actual clinical adoption. This review addresses this gap by framing clinical integration through three complementar... read more

Artificial intelligence-based classification of Spitz tumors.

Journal of pathology informatics Feb 16, 2026

Spitz tumors are diagnostically challenging due to overlap in atypical histological features with conventional melanomas. We investigated to what extent artificial intelligence (AI) models, using histological and/or clinical features, can: (1) distin... read more

Nano-pesticides in agroecosystems: Environmental fate, ecotoxicological impacts, and sustainable risk mitigation strategies.

Pesticide biochemistry and physiology Feb 16, 2026

Nano-pesticides have emerged as an important class of emerging environmental chemicals with potential to improve agricultural efficiency while reducing bulk chemical inputs. Despite these advances, their environmental fate, transport mechanisms, and ... read more

YOLOv8 powered deep learning framework for detection and classification of oral potentially malignant disorders and oral cancer using intraoral images.

Oral surgery, oral medicine, oral pathology and oral radiology Feb 16, 2026

OBJECTIVE: This study aimed to develop deep learning framework based on the You Only Look Once version 8 (YOLOv8) instance segmentation architecture and to evaluate its performance in detecting and classifying oral potentially malignant disorders (OP... read more

Context-enriched contrastive auto-encoder with topology learning for medical hyperspectral image classification to diagnose tumors.

Medical image analysis Feb 16, 2026

Deep learning has emerged as a highly effective approach for the automatic classification of medical hyperspectral images (MedHSIs), facilitating the accurate diagnosis of diverse tumors. Most of current methods suffer from the challenges in the sepa... read more

Fragment-based drug design coupled with AI/ML prediction enables identification of novel PARP-1 inhibitors against triple-negative breast cancer.

Journal of molecular graphics & modelling Feb 16, 2026

Triple-negative breast cancer occurs as a formidable challenge in cancer research due to the characteristically aggressive behaviour, poor prognosis, and scarce availability of treatment options. The approval of PARP-1 inhibitors against Triple-negat... read more

Machine learning-assisted spectroscopic ellipsometry of chromium thin films for microalgae biosensing.

Biosensors & bioelectronics Feb 16, 2026

Rapid and label-free detection of microalgae is increasingly required for environmental surveillance and bio-industrial process control, where decisions must be made from subtle interfacial changes rather than from bulk concentration alone. In this w... read more

AI literacy, information cocoons, and creativity in healthcare postgraduate education: A latent profile and mediation analysis.

Nurse education today Feb 16, 2026

OBJECTIVE: This study aimed to identify latent subtypes of AI literacy among full-time healthcare postgraduate in China, including those specializing in clinical medicine, nursing, basic medicine, and related medical fields, and to examine the mediat... read more

Identification of pyroptosis-associated genes for the prediction of metabolic dysfunction-associated steatohepatitis based on interpretable machine learning models.

Biochemical and biophysical research communications Feb 16, 2026

BACKGROUND: Pyroptosis, a pro-inflammatory form of regulated cell death mediated by gasdermin pore formation and typically triggered by inflammasome activation, has been increasingly recognized as an important contributor to liver inflammation and fi... read more

Multiplex graph prompt learning and attentive fusion for event graph completion.

Neural networks : the official journal of the International Neural Network Society Feb 16, 2026

This paper introduces an Event Graph Completion (EGC) task to predict the absence of multi-relations between events in a heterogeneous Event Graph (EG) with four prevailing relations. The primary objective of the EGC task is to enhance the completene... read more

Artificial Intelligence Medical Compendium