Artificial Intelligence Medical Compendium

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

Showing 20,571 to 20,580 of 216,088 articles

Moving beyond one-size-fits-all education approaches for artificial intelligence in healthcare.

PLOS digital health May 11, 2026
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Using deep learning to identify inherited retinal diseases based on wide-field retinal imaging data.

PloS one May 11, 2026
OBJECTIVE: To evaluate a novel image-based deep learning method for the automated identification of inherited retinal diseases (IRDs) and to explore the feasibility of predicting selected causative gene groups using a multimodal analysis of wide-fiel... read more 

A multi-view TSK fuzzy system with deformable Gaussian membership functions and rule-level attention for classification.

PloS one May 11, 2026
This study presents a novel multi-view TSK fuzzy system that integrates deformable Gaussian membership functions with a rule-level attention mechanism (MDA-TSK-FS), aiming to improve the modeling capacity and flexibility of fuzzy systems in high-dime... read more 

Extracting user profile via large language models and ontologies.

PloS one May 11, 2026
Extracting user-specific profiles that include general personal information, such as hobbies, occupation, or age, is a valuable asset for systems like recommendation engines or personalized chatbots. Currently, most approaches moved toward exploiting... read more 

A remote monitoring system based on deep learning for real-time assessment of free flaps.

PloS one May 11, 2026
PURPOSE: Venous congestion is a major cause of postoperative free flap compromise, and early detection is crucial for improving flap salvage rates and patient outcomes. This study aimed to develop and validate a deep learning (DL)-integrated remote m... read more 

LiteFeatNet: A parameter-efficient and performance-centric deep learning model for multi-ocular disease identification using intermediate feature reduction from fundus images.

PloS one May 11, 2026
Convolutional Neural Networks (CNNs) require a larger amount of input samples and computing resources to learn discriminative features for accurate identification of multiple retinal conditions, making the development and deployment of such models ch... read more 

Healthy living environments create healthy physical activity-related habits (ELEVATE): A protocol for a smartphone-based mixed-method study.

PloS one May 11, 2026
Physical inactivity remains a key risk factor for adverse public health outcomes, disproportionately burdening lower socioeconomic groups. While individual-level interventions may temporarily increase walking-related physical activity (WPA) for some,... read more 

Framing artificial intelligence in Chilean digital press before and after the launch of ChatGPT: From concern to optimism.

PloS one May 11, 2026
This article examines the evolution of AI framing in Chilean national digital media before and after the launch of ChatGPT in 2022. Through topic modeling and emotion analysis of 1,466 articles published by six media outlets over periods that begin b... read more 

The expected benefits of using social robots when working with institutionalised older adults: A qualitative study among healthcare professionals.

PloS one May 11, 2026
The shortage of healthcare professionals increasingly challenges the provision of care for institutionalised older adults. This study investigates healthcare professionals' expectations regarding the added value of social robots in daily care, as the... read more 

Action-factorized Rainbow deep Q-network with token Transformer for computation offloading in edge computing-enabled Internet of Ships.

PloS one May 11, 2026
Edge computing (EC) in the Internet of Ships (IoS) reduces the latency and energy burdens of cloud-centric architectures, but fully realizing its benefits requires effective computation offloading strategies. Designing such strategies in dynamic mari... read more 
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