AI Medical Compendium

A systematic review of artificial intelligence models in ocular tumour diagnosis.

Canadian journal of ophthalmology. Journal canadien d'ophtalmologie Jan 15, 2026

INTRODUCTION: Ocular tumours are detrimental to the quality of life and survival. The diagnostic capabilities of artificial intelligence (AI) have increased in the past decade. This systematic review aims to evaluate the diagnostic performance of AI ... read more

PedIAtric Surgery: Artificial Intelligence and the new horizon in Science.

Cirugia pediatrica : organo oficial de la Sociedad Espanola de Cirugia Pediatrica Jan 15, 2026

Medicinal chemistry meets nanotechnology: machine learning assisted colorimetric sensing platform for oxalic acid based on drug mediated copper oxide nanoparticles.

RSC advances Jan 15, 2026

Increased levels of oxalic acid are associated with an increased risk of kidney stone formation, which can lead to renal failure. In addition, its high concentration in the blood can lead to cardiovascular diseases. Therefore, it is vital to detect a... read more

Preserving scientific integrity in academic publishing: Navigating artificial intelligence, journal policies, and the impact factor as a quality indicator.

Journal of experimental orthopaedics Jan 15, 2026

UNLABELLED: The integration of artificial intelligence (AI), the rise of mega-journals, and the manipulation of impact factors present challenges to scientific integrity. These trends threaten the core principles of objectivity, reproducibility, and ... read more

Continuous Lower Limb Biomechanics Prediction via Prior-Informed Lightweight Marker-GMformer.

Cyborg and bionic systems (Washington, D.C.) Jan 15, 2026

Lower limb musculoskeletal dynamics simulation has been widely used to estimate the lower limb mechanics, but challenges such as heavy reliance on force plates, poor model generalization, and high computational load hindered its application in real-t... read more

Healthcare utilization and chronic condition clusters in multimorbidity patients using weighted k-means: a register-based study in Denmark.

Health information science and systems Jan 15, 2026

BACKGROUND: The growing burden of multimorbidity challenges the healthcare system due to increased healthcare utilization and uncoordinated care. Identifying patients with multimorbidity who have high healthcare utilization is essential to improve ma... read more

Lymph Node Metastasis-Associated Spatiotemporal Mapping of the TFF3-Linked Niche in Breast Cancer: Integrating Radiogenomic Signatures with Immune-Ecosystem Remodeling.

Research (Washington, D.C.) Jan 15, 2026

Primary breast cancer (PBC) with axillary lymph node metastasis (ALNM+) is associated with distinct clinical outcomes, including reduced survival (The Cancer Genome Atlas/Foshan cohorts, P < 0.05) and an attenuated response to anti-programmed cell de... read more

Multi-Task Cascade Forest Framework for Predicting Acute Toxicity across Species.

Research (Washington, D.C.) Jan 15, 2026

Evaluating chemical toxicity and its potential hazards to human health and the environment is essential in diverse fields, including medicine, industry, and agriculture. Multi-species acute toxicity prediction (MSATP) is critical in toxicity assessme... read more

SyMetrics: an integrated machine learning model for evaluating the pathogenicity of synonymous variants in the human genome.

NAR genomics and bioinformatics Jan 15, 2026

Synonymous single nucleotide variants (sSNVs), traditionally seen as neutral, are now recognized for their biological impact. To assess their relevance, we developed SyMetrics, a framework that integrates predictors of splicing, RNA stability, evolut... read more

Humans Machine Learning Software Polymorphism, Single Nucleotide Genome, Human Silent Mutation

FLYNC: a machine-learning-driven framework for discovering long noncoding RNAs in Drosophila melanogaster.