Artificial Intelligence Medical Compendium

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

Showing 1,461 to 1,470 of 163,957 articles

A review on computer-aided diagnostic system to classify the disorders of the gastrointestinal tract.

European journal of medical research Jul 26, 2025
Various diseases, such as colon cancer, gastric cancer, celiac, and bleeding, pose a significant risk to the gastrointestinal (GI) tract, which serves as a fundamental component of the human body. It is less invasive to observe the inner part for dis... read more 
Humans Machine Learning Diagnosis, Computer-Assisted Gastrointestinal Tract Gastrointestinal Diseases

Can AI find the cavities in caries prediction and diagnosis?

Evidence-based dentistry Jul 26, 2025
A COMMENTARY ON: Rokhshad R, Banakar M, Shobeiri, P, Zhang P. Artificial intelligence in early childhood caries detection and prediction: a systematic review and meta-analysis. Pediatr Dent. 2024;46:385-394. read more 

Comprehensive Characterization of the Immune Microenvironment Based on Nested Resampling Machine Learning Framework Identifies TRAF3 Interacting Protein 3 as a Promising Regulator to Improve the Resistance to Immunotherapy in Glioma.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Jul 26, 2025
Diffuse glioma, the most prevalent and malignant intracranial tumor, presents a formidable challenge due to its immunosuppressive microenvironment, which complicates conventional therapeutic approaches. This study conducted a comprehensive prognostic... read more 

Seasonal quantile forecasting of solar photovoltaic power using Q-CNN-GRU.

Scientific reports Jul 26, 2025
Accurately predicting solar power is essential for ensuring electric grid reliability and integrating renewable energy sources. This paper presents a novel approach to probabilistic solar power forecasting by combining Convolutional Neural Networks (... read more 

Enhancing reliability and security in cloud-based telesurgery systems leveraging swarm-evoked distributed federated learning framework to mitigate multiple attacks.

Scientific reports Jul 26, 2025
Advances in robotic surgery are being driven by the convergence of technologies such as artificial intelligence (AI), 5G/6G wireless communication, the Internet of Things (IoT), and edge computing, enhancing clinical precision, speed, and real-time d... read more 

A classification method for fluorescence emission spectra of anionic surfactants with few-shot learning.

Journal of molecular modeling Jul 26, 2025
CONTEXT: The unregulated use of anionic surfactants poses significant environmental risks, necessitating methods for their rapid and accurate identification. While fluorescence spectroscopy is a powerful tool, its application faces a critical challen... read more 

Machine learning-based dynamic CEA trajectory and prognosis in gastric cancer.

BMC cancer Jul 26, 2025
BACKGROUND: Static carcinoembryonic antigen (CEA) levels are well‑established prognostic markers in patients with gastric cancer, but the significance of their dynamic trajectories over time has rarely been reported. read more 
Humans Machine Learning Prognosis Female Aged Aged, 80 and over Adult Stomach Neoplasms Biomarkers, Tumor Male Middle Aged Follow-Up Studies Carcinoembryonic Antigen Kaplan-Meier Estimate

Deep learning application to hyphae and spores identification in fungal fluorescence images.

Scientific reports Jul 26, 2025
This study explores the application of deep learning to fungal disease diagnosis, focusing on an automated detection system for hyphae and spores in clinical samples. This study employs a combination of the YOLOX and MobileNet V2 models to analyze fu... read more 

Explainable AI-driven assessment of hydro climatic interactions shaping river discharge dynamics in a monsoonal basin.

Scientific reports Jul 26, 2025
Accurate river discharge forecasting is essential for effective water resource management, particularly in regions prone to monsoonal variability and extreme weather events. This study presents an interpretable deep learning framework for daily river... read more 

Modelling cross-diffusion in MHD Williamson nanofluid flow over a nonlinear stretching surface via Morlet wavelet neural networks.

Scientific reports Jul 26, 2025
In this paper, a new numerical technique was developed to investigate magnetohydrodynamic (MHD) flow of Williamson nanofluid past a nonlinear stretching surface imbedded in a porous medium laden with Soret and Dufour effects. The control equations, w... read more 
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