Artificial Intelligence Medical Compendium

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

Showing 3,951 to 3,960 of 172,715 articles

Characterizing the role of early life factors in machine learning-based multimorbidity risk prediction.

PLOS digital health Aug 18, 2025
Recent evidence suggests that psycho-cardio-metabolic (PCM) multimorbidity finds its origins in exposure to early-life factors (ELFs), making the exploration of this association crucial for understanding and effective management of these complex heal... read more 

Preparing Generation Z of Health Professions for Artificial Intelligence Revolution Through Hacking Education: An Interventional Study.

Health science reports Aug 18, 2025
BACKGROUND AND AIMS: The integration of artificial intelligence into healthcare is rapidly expanding, yet formal AI education for health profession students remains limited. Generation Z students, as digital natives, require innovative instructional ... read more 

A systematic approach to study the effects of acquisition parameters and biological factors on computerized mammography analysis using ex vivo human tissue: A protocol description.

PloS one Aug 18, 2025
BACKGROUND: Mammography is the most common imaging modality for the detection of breast cancer. Artificial intelligence algorithms for mammography analysis have shown promising performance for breast cancer risk assessment and lesion detection and cl... read more 

Research on a virtual-real fusion experimental system for the cutting part of a boom-type roadheader.

PloS one Aug 18, 2025
Aiming at the problems of high safety risks, economic costs, and inefficiency in experimental research on boom-type roadheaders, this study proposes a virtual-real fusion experimental system for the cutting module. This system incorporates functions ... read more 

Detecting infrared UAVs on edge devices through lightweight instance segmentation.

PloS one Aug 18, 2025
MOTIVATION: Infrared unmanned aerial vehicle (UAV) detection for surveillance applications faces three conflicting requirements: accurate detection of pixel-level thermal signatures, real-time processing capabilities, and deployment feasibility on re... read more 

AI-ming backwards: Vanishing archaeological landscapes in Mesopotamia and automatic detection of sites on CORONA imagery.

PloS one Aug 18, 2025
By upgrading an existing deep learning model with the knowledge provided by one of the oldest sets of grayscale satellite imagery, known as CORONA, we improved the AI model's attitude towards the automatic identification of archaeological sites in an... read more 

Deep learning applications for diabetic retinopathy and retinopathy of prematurity diseases diagnosis: a systematic review.

International journal of ophthalmology Aug 18, 2025
To review the existing deep learning applications for diagnosing diabetic retinopathy and retinopathy of prematurity diseases, the available public retinal databases for the diseases and apply the International Journal of Medical Informatics (IJMEDI)... read more 

Development and classification accuracy of an automated cognitive screening tool combining working memory and connected speech tasks for early detection of cognitive impairment in primary care.

Alzheimer's & dementia (New York, N. Y.) Aug 18, 2025
INTRODUCTION: Cognitive screening to detect mild cognitive impairment (MCI) and dementia in primary care settings has proven to be a challenging task. The ideal solution would be a brief, yet sensitive, tool appropriate for use with individuals from ... read more 

Data asset valuation model based on generative artificial intelligence.

PloS one Aug 18, 2025
In the digital economy era, the significance of data assets has increasingly become evident, particularly against the backdrop of the rapid development of Generative Artificial Intelligence. This paper constructed a data asset valuation model based o... read more 

A lightweight intelligent compression method for fast Sea Level Anomaly data transmission.

PloS one Aug 18, 2025
Traditional compression methods struggle to preserve critical mesoscale ocean features like vortices during bandwidth-constrained marine data transmission. To aaddress this limitation, we propose CompressGAN, a novel deep learning framework that tran... read more 
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