Artificial Intelligence Medical Compendium

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

Showing 681 to 690 of 159,839 articles

Enhanced detection of Argulus and epizootic ulcerative syndrome in fish aquaculture through an improved deep learning model.

Journal of aquatic animal health Jul 15, 2025
OBJECTIVE: Fish disease in aquaculture is a major risk to food safety. The identification of infected fish and disease categories present in fish farms remains difficult to determine at an early stage. Detecting infected fish in time is an essential ... read more 

Medical undergraduate students' awareness and perspectives on artificial intelligence: A developing nation's context.

BMC medical education Jul 15, 2025
BACKGROUND: Artificial intelligence (AI) is reshaping healthcare, yet its integration into medical education remains limited. This study assesses undergraduate healthcare students' knowledge and perceptions of AI, its applications, challenges, and th... read more 
Humans Artificial Intelligence Female Young Adult Adult Students, Medical Cross-Sectional Studies Male Surveys and Questionnaires Health Knowledge, Attitudes, Practice Developing Countries Curriculum Education, Medical, Undergraduate

Machine learning approaches for forecasting compressive strength of high-strength concrete.

Scientific reports Jul 15, 2025
Identifying the mechanical properties of High Strength Concrete (HSC), particularly compressive strength, is critical for safety purposes. Concrete compressive strength is determined by using laboratory experiments, which are costly and time-consumin... read more 

F-FDG PET-based liver segmentation using deep-learning.

Physical and engineering sciences in medicine Jul 15, 2025
Organ segmentation using F-FDG PET images alone has not been extensively explored. Segmentation based methods based on deep learning (DL) have traditionally relied on CT or MRI images, which are vulnerable to alignment issues and artifacts. This stud... read more 

A unified ontological and explainable framework for decoding AI risks from news data.

Scientific reports Jul 15, 2025
Artificial intelligence (AI) is rapidly permeating various aspects of human life, raising growing concerns about its associated risks. However, existing research on AI risks often remains fragmented-either limited to specific domains or focused solel... read more 

3D isotropic high-resolution fetal brain MRI reconstruction from motion corrupted thick data based on physical-informed unsupervised learning.

IEEE journal of biomedical and health informatics Jul 15, 2025
High-quality 3D fetal brain MRI reconstruction from motion-corrupted 2D slices is crucial for precise clinical diagnosis and advancing our understanding of fetal brain development. This necessitates reliable slice-to-volume registration (SVR) for mot... read more 

Network-based intrusion detection using deep learning technique.

Scientific reports Jul 15, 2025
A high growth rate in network traffic and the complexity of cyber threats have made it necessary to create more effective and flexible intrusion detection systems. Most traditional Network-based Intrusion Detection Systems (NIDS) can become weak at d... read more 

Reinforced odor representations in the anterior olfactory nucleus can serve as memory traces for conspecifics.

eNeuro Jul 15, 2025
Recognition of conspecific individuals in mammals is an important skill, thought to be mediated by a distributed array of neural networks, including those processing olfactory cues. Recent data from our groups have shown that social memory can be sup... read more 

Vision-language model performance on the Japanese Nuclear Medicine Board Examination: high accuracy in text but challenges with image interpretation.

Annals of nuclear medicine Jul 15, 2025
OBJECTIVE: Vision language models (VLMs) allow visual input to Large Language Models. VLMs have been developing rapidly, and their accuracy is improving rapidly. Their performance in nuclear medicine compared to state-of-the-art models, including rea... read more 

Generation of multidisease fundus photographs with code-free platform.

The British journal of ophthalmology Jul 15, 2025
PURPOSE: To generate fundus photographs of multiple kinds of retinal disease, bypassing the requirement of coding technique. read more 
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