Artificial Intelligence Medical Compendium

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

Showing 19,671 to 19,680 of 215,899 articles

Element-to-mineral-properties conversion (EMPC) via MARSpline for 3D geometallurgical modeling of the Koashva Apatite-Nepheline Deposit, Kola Peninsula, Russia.

Scientific reports May 13, 2026
Efficient processing of complex ores is often hampered by an incomplete understanding of the spatial distribution of critical mineralogical properties. Here, we introduce a machine learning-based framework that addresses this gap. Using the multivari... read more 

Optimizing material and process parameters in laser engineered net shaping using liquid neural networks.

Scientific reports May 13, 2026
This study introduces a physics-based Liquid Neural Network (LNN) framework for optimization of material and process parameters in Laser Engineered Net Shaping (LENS). The model combines neural differential equations with dynamic liquid weight mechan... read more 

An intelligent IoT-machine learning framework for wildfire detection and prediction using a hybrid RF-XGB model.

Scientific reports May 13, 2026
Forest fires in Turkey have received comparatively limited scholarly attention despite the country's high seasonal susceptibility, particularly during summer due to adverse climatic conditions. For real-time detection and risk assessment, this resear... read more 

An evaluation of various parts of face to identify facial paralysis using temporal convolutional neural network model.

Scientific reports May 13, 2026
Facial paralysis severely changes the individual's life and enlarges the physician's need for precise analysis and grading of facial paralysis for appropriate rehabilitation and treatment. A patient with facial paralysis will have asymmetry of their ... read more 

UveAI: clinic-ready scoring of retinal inflammation in uveitis on widefield fluorescein angiography using AI.

Scientific reports May 13, 2026
Retinal inflammation is a key determinant of visual prognosis in uveitis, yet its assessment on fluorescein angiography remains subjective, labor-intensive, and insufficiently scalable for clinical trials or large cohort studies. Fluorescein angiogra... read more 

Hessian-guided mixed-precision quantization of vision transformers under hardware constraints.

Scientific reports May 13, 2026
Vision transformers (ViTs) have attracted increasing attention in visual tasks due to their strong global modeling capability. However, compared with conventional convolutional neural networks, ViTs typically involve substantially more parameters and... read more 

Removal of Cr (VI) from wastewater using bentonite as adsorbent: Experimental and Machine Learning investigations.

Scientific reports May 13, 2026
Bentonite material was prepared and examined for the adsorptive removal of Cr (VI) from an aqueous solution. The bentonite was characterized by XRD, FTIR, SEM-EDS, BET and DLS analyses. The experimental design optimization results for the adsorption ... read more 

Multimodal interpretable deep learning for transcriptome-informed precision oncology and drug mechanism analysis.

NPJ digital medicine May 13, 2026
Precision oncology faces critical challenges in interpreting complex cellular signals and predicting drug responses across heterogeneous cancer environments. Here, we present BioGDR, a multimodal interpretable deep learning framework that integrates ... read more 

Single-cell and deep learning identify hypoxia-responsive lncRNAs predicting outcomes in colorectal cancer.

NPJ precision oncology May 13, 2026
Emerging evidence highlights hypoxia-responsive long non-coding RNAs (lncRNAs) as potential modulators in tumor biology. In this study, we explored the significance of a hypoxia-responsive lncRNA molecular signature (HRLPMS) and the therapeutic impli... read more 

A two-stage differential evolution algorithm for neural ensemble architecture search.

Scientific reports May 13, 2026
Neural ensembles, comprising multiple heterogeneous neural networks, show promise in machine learning tasks. Their efficacy depends on architecture design, traditionally relying on deep learning expertise. Neural ensemble architecture search methods ... read more 
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