Artificial Intelligence Medical Compendium

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

Showing 33,671 to 33,680 of 221,422 articles

Explainable deep learning combined with SERS for simultaneous detection of nicotine and etomidate isomers in E-cigarettes.

Analytica chimica acta Apr 8, 2026
The incorporation of illegal drugs into e-cigarettes poses significant threats to both human health and societal safety. Therefore, the development of accurate and rapid detection methods for illicit drug additives in e-cigarettes is of significant i... read more 

Machine learning-based programmed cell death gene signature for prognosis and drug sensitivity in breast cancer.

Oncology letters Apr 8, 2026
Breast cancer (BRCA) heterogeneity necessitates robust prognostic biomarkers. Programmed cell death (PCD) serves a key role in tumor progression and therapy response. However, the prognostic potential of PCD-related genes (CRGs) in BRCA remains to be... read more 

Artificial intelligence (AI) for early identification of radiotherapy related toxicities from the electronic health records of patients with head and neck cancer.

Clinical and translational radiation oncology Apr 8, 2026
We evaluated artificial intelligence (AI) for detecting osteoradionecrosis, fibrosis, trismus, and dysphagia in 207 head and neck cancer patient electronic health records. After adjudication and fine-tuning, accuracy reached 87% (F1 = 0.92). The mode... read more 

Ischaemia in tuberculous meningitis: update on pathophysiology, clinical predictors and management.

Current opinion in infectious diseases Apr 8, 2026
PURPOSE OF REVIEW: Tuberculous meningitis (TBM) is a severe manifestation of Mycobacterium tuberculosis infection, associated with high mortality and long-term neurological disability. Cerebral ischaemia and infarction are major contributors to poor ... read more 

Promise and pitfalls of AI chatbots in complex decision-making for thyroid nodules and papillary thyroid cancer.

European thyroid journal Apr 8, 2026
INTRODUCTION: Artificial intelligence (AI) chatbots are increasingly used in medicine, but their reliability in scenarios with multiple management options is unclear. Indeterminate thyroid nodules and low- and low-to-intermediate-risk papillary thyro... read more 

A dual-index framework for cold atmospheric plasma dosing: A meta-analysis of parametric control from volumetric redox flux to redox homeostatic status.

Redox biology Apr 8, 2026
Cold atmospheric plasma (CAP) has emerged as a versatile therapeutic platform with demonstrated efficacy across diverse disease models. Despite significant preclinical progress, clinical translation remains hindered by the absence of standardized dos... read more 

Endo-Hepatology and Artificial Intelligence: New Avenues for Diagnosis and Intervention.

Journal of clinical and experimental hepatology Apr 8, 2026
Artificial intelligence (AI) is gaining momentum in the field of endo-hepatology, offering potential improvements in diagnosis, risk stratification, and procedural outcome prediction. This review outlines AI applications across endoscopic domains inc... read more 

ModuSeg: Decoupling Object Discovery and Semantic Retrieval for Training-Free Weakly Supervised Segmentation

arXiv Apr 8, 2026
Weakly supervised semantic segmentation aims to achieve pixel-level predictions using image-level labels. Existing methods typically entangle semantic recognition and object localization, which often leads models to focus exclusively on sparse discri... read more 
Computer Vision and Pattern Recognition

PRISM: Rethinking Scattered Atmosphere Reconstruction as a Unified Understanding and Generation Model for Real-world Dehazing

arXiv Apr 8, 2026
Real-world image dehazing (RID) aims to remove haze induced degradation from real scenes. This task remains challenging due to non-uniform haze distribution, spatially varying illumination from multiple light sources, and the scarcity of paired real ... read more 
Computer Vision and Pattern Recognition

AnchorSplat: Feed-Forward 3D Gaussian SplattingWith 3D Geometric Priors

arXiv Apr 8, 2026
Recent feed-forward Gaussian reconstruction models adopt a pixel-aligned formulation that maps each 2D pixel to a 3D Gaussian, entangling Gaussian representations tightly with the input images. In this paper, we propose AnchorSplat, a novel feed-forw... read more 
Computer Vision and Pattern Recognition
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