Artificial Intelligence Medical Compendium

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

Showing 17,501 to 17,510 of 213,726 articles

A Novel Fluoride Tray-Assisted Workflow for AI-driven Automated Maxillary Gingival Segmentation on CBCT.

Dento maxillo facial radiology May 15, 2026
OBJECTIVES: To clinically validate an AI-based tool for automated maxillary gingival segmentation of marginal and supracrestal gingiva on cone beam computed tomography (CBCT) scans using a novel soft tissue separation technique with a fluoride tray. ... read more 

Automated tooth numbering on panoramic radiographs versus cone-beam computed tomographs: A diagnostic accuracy study of a commercial artificial intelligence system.

Dento maxillo facial radiology May 15, 2026
OBJECTIVES: To assess the diagnostic accuracy of a commercial artificial intelligence system for automated tooth numbering on panoramic radiographs and cone-beam computed tomography and to quantify case-level reliability. METHODS: In this retrospecti... read more 

A Multi-Task Deep Learning Model for Quality Control of Periapical Radiographs: Simultaneous Technical Error Classification and Quality Grading.

Dento maxillo facial radiology May 15, 2026
OBJECTIVES: To develop a multi-task deep learning model for the automated quality control of periapical radiographs, integrating identification of technical errors with standardized quality grading. METHODS: A dataset of 3510 periapical radiographs w... read more 

Chrysoprase color grading with machine learning: A systematic approach.

PloS one May 15, 2026
The color of gemstones plays a pivotal role in determining their quality and significantly impacts their market value. However, inconsistencies in gemstone color evaluation, stemming from the subjective nature of color perception, have hindered stand... read more 

Deep learning-based region merging with adaptive threshold optimization for building segmentation in remote sensing images.

PloS one May 15, 2026
Precise extraction of buildings from high-resolution remote sensing images is essential for urban analysis and land management. However, accurately extracting buildings as a region of interest (ROI) from remote sensing (RS) images remains challenging... read more 

Predicting the uniaxial compressive strength and elasticity modulus of sandstones from physical and mechanical properties using statistical analyses and artificial intelligence-based techniques.

PloS one May 15, 2026
This study develops predictive models for the uniaxial compressive strength (UCS) and elasticity modulus (E) of sandstones by integrating statistical analyses with artificial intelligence (AI) techniques. Comprehensive laboratory tests were performed... read more 

Data-Driven Interrogation of Reactivity in Acid-Catalyzed Carbonyl-Olefin Metathesis with Machine Learning and Large Language Models.

Journal of the American Chemical Society May 15, 2026
Carbonyl-olefin metathesis (COM) has emerged as a powerful yet mechanistically complex transformation for forging carbon-carbon bonds. Although diverse Brønsted and Lewis acid catalysts enable COM reactivity, predicting which catalyst will be effecti... read more 

Design and evaluation of a resilient IBN architecture: Integrating post-quantum cryptography with adaptive threat detection using machine learning.

PloS one May 15, 2026
As the domain of network security keeps on evolving rapidly, especially in sensitive areas such as healthcare systems, the demand for reliable device verification, controlling access, and spotting threats is growing sharply. This paper presents the d... read more 

Multivariate control based on recurrent wavelet neural network for wastewater treatment process.

PloS one May 15, 2026
The wastewater treatment process (WWTP), including multiple biochemical reactions, is a coupled and dynamic process. Thus, it is a challenge to achieve precise control of the WWTP. In order to address this issue, the self-organizing recurrent wavelet... read more 

Deep learning-based bimodal speech and facial expression recognition of miners' unsafe emotions.

PloS one May 15, 2026
Under the influence of unsafe emotions, miners' ability to perceive risks is hindered, which can easily lead to decision-making errors and safety accidents. To recognize unsafe emotions exhibited by miners during operations, this study proposes a dee... read more 
Popular Topics
Recent Journals