Artificial Intelligence Medical Compendium

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

Showing 1,091 to 1,100 of 6,800 articles

Predicting boiling heat flux, heat transfer coefficient, and regimes Non-intrusively using external acoustics and deep learning.

Scientific reports Jul 2, 2025
Accurate monitoring of boiling heat transfer is critical for the safety and efficiency of high energy-density systems, including data center cooling, nuclear reactors, and industrial boilers. Traditional diagnostic methods relying on intrusive sensor... read more 

Automatic detection of orthodontically induced external root resorption based on deep convolutional neural networks using CBCT images.

Scientific reports Jul 2, 2025
Orthodontically-induced external root resorption (OIERR) is among the most common risks in orthodontic treatment. Traditional OIERR diagnosis is limited by subjective judgement as well as cumbersome manual measurement. The research aims to develop an... read more 
Humans Neural Networks, Computer Deep Learning Convolutional Neural Networks Cone-Beam Computed Tomography Image Processing, Computer-Assisted Orthodontics Root Resorption

The construction of HMME-PDT efficacy prediction model for port-wine stain based on machine learning algorithms.

Scientific reports Jul 2, 2025
Hematoporphyrin monomethyl ether-photodynamic therapy (HMME-PDT) is a safe and effective treatment for port-wine stain (PWS). Comprehensive methods for predicting HMME-PDT efficacy based on clinical factors are lacking. This study aims to develop and... read more 
Humans Machine Learning Algorithms Retrospective Studies Female Young Adult Adult Male Adolescent Child, Preschool Child Treatment Outcome Photochemotherapy Photosensitizing Agents Port-Wine Stain Hematoporphyrins

A secured accreditation and equivalency certification using Merkle mountain range and transformer based deep learning model for the education ecosystem.

Scientific reports Jul 2, 2025
An Accreditation and equivalency certificate Verification System is required to ensure integrity, trust, and recognition of qualifications within the education ecosystem. However, most verification procedures are costly, hard, opaque, and time-consum... read more 

A comparative analysis of DeepSeek R1, DeepSeek-R1-Lite, OpenAi o1 Pro, and Grok 3 performance on ophthalmology board-style questions.

Scientific reports Jul 2, 2025
The ability of large language models (LLMs) to accurately answer medical board-style questions reflects their potential to benefit medical education and real-time clinical decision-making. With the recent advance to reasoning models, the latest LLMs ... read more 
Humans Educational Measurement Ophthalmology Education, Medical

Hierarchical in-out fusion for incomplete multimodal brain tumor segmentation.

Scientific reports Jul 2, 2025
Fusing multimodal data play a crucial role in accurate brain tumor segmentation network and clinical diagnosis, especially in scenarios with incomplete multimodal data. Existing multimodal fusion models usually perform intra-modal fusion at both shal... read more 
Humans Neural Networks, Computer Algorithms Brain Neoplasms Image Processing, Computer-Assisted Magnetic Resonance Imaging Multimodal Imaging

AI-driven genetic algorithm-optimized lung segmentation for precision in early lung cancer diagnosis.

Scientific reports Jul 2, 2025
Lung cancer remains the leading cause of cancer-related mortality worldwide, necessitating accurate and efficient diagnostic tools to improve patient outcomes. Lung segmentation plays a pivotal role in the diagnostic pipeline, directly impacting the ... read more 
Humans Neural Networks, Computer Artificial Intelligence Algorithms Tomography, X-Ray Computed Lung Lung Neoplasms Early Detection of Cancer Genetic Algorithms

Large sparse aperture telescope wavefront sensing and control via pretrained neural network with attention module.

Scientific reports Jul 2, 2025
The ability to detect pistons with high accuracy over a wide range is paramount to the co-phasing of sparse aperture optical systems. This paper proposes a global piston error modulation method for sparse aperture mirrors based on convolutional neura... read more 

New insight into viscosity prediction of imidazolium-based ionic liquids and their mixtures with machine learning models.

Scientific reports Jul 2, 2025
Ionic liquids (ILs) as eco-friendly solvents have gained significant attention across various fields of science, including the petroleum industry. Among the different ILs families, imidazolium-based ILs have been the subject of many research studies.... read more 

Sequence to sequence architecture based on hybrid LSTM global and local encoders approach for meteorological factors forecasting.

Scientific reports Jul 2, 2025
Accurate prediction of meteorological factors is critical across various domains such as agriculture, disaster management, and climate research. Traditional models, such as Numerical Weather Prediction (NWP), often face limitations in capturing highl... read more 
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