Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 371 to 380 of 158,269 articles
Deep learning for predicting myopia severity classification method.
Biomedical engineering online
Jul 9, 2025
BACKGROUND: Myopia is a major cause of vision impairment. To improve the efficiency of myopia screening, this paper proposes a deep learning model, X-ENet, which combines the advantages of depthwise separable convolution and dynamic convolution to cl...
Enhanced detection of Mpox using federated learning with hybrid ResNet-ViT and adaptive attention mechanisms.
Scientific reports
Jul 9, 2025
Monkeypox (Mpox), caused by the monkeypox virus, has become a global concern due to its rising cases and resemblance to other rash-causing diseases like chickenpox and measles. Traditional diagnostic methods, including visual examination and PCR test...
MRI-based interpretable clinicoradiological and radiomics machine learning model for preoperative prediction of pituitary macroadenomas consistency: a dual-center study.
Neuroradiology
Jul 9, 2025
PURPOSE: To establish an interpretable and non-invasive machine learning (ML) model using clinicoradiological predictors and magnetic resonance imaging (MRI) radiomics features to predict the consistency of pituitary macroadenomas (PMAs) preoperative...
Medical needles in the hands of AI: Advancing toward autonomous robotic navigation.
Science robotics
Jul 9, 2025
Safely and accurately navigating needles percutaneously or endoscopically to sites deep within the body is essential for many medical procedures, from biopsies to localized drug deliveries to tumor ablations. The advent of image guidance decades ago ...
A fourfold pathogen reference ontology suite.
Journal of biomedical semantics
Jul 9, 2025
BACKGROUND: Infectious diseases remain a critical global health challenge, and the integration of standardized ontologies plays a vital role in managing related data. The Infectious Disease Ontology (IDO) and its extensions, such as the Coronavirus I...
PZT optical memristors.
Nature communications
Jul 9, 2025
Optical memristors represent a monumental leap in the fusion of photonics and electronics for neuromorphic computing and artificial intelligence. Here, we reveal the first lead zirconate titanate (PZT) optical memristor, working with a paradigm of fu...
Machine learning models for predicting multimorbidity trajectories in middle-aged and elderly adults.
Scientific reports
Jul 9, 2025
Multimorbidity has emerged as a significant public health issue in the context of global population aging. Predicting and managing the progression of multimorbidity in the elderly population is crucial. This study aims to develop predictive models fo...
Developing machine learning frameworks to predict mechanical properties of ultra-high performance concrete mixed with various industrial byproducts.
Scientific reports
Jul 9, 2025
This research investigates the predictive modeling of ultra-high-performance concrete (UHPC) incorporating industrial byproducts, focusing on compressive strength (Fc), flexural strength (Ff), workability (Slump), and porosity. Various machine learni...
Enhancing Graph Neural Networks for Out-of-Distribution Graph Detection.
IEEE transactions on neural networks and learning systems
Jul 9, 2025
Graph neural networks (GNNs) have shown promise in graph classification tasks, but they struggle to identify out-of-distribution (OOD) graphs often encountered in real-world scenarios, posing a significant obstacle for their open-world deployment. Du...
Transformer optimization with meta learning on pathology images for breast cancer lymph node micrometastasis.
NPJ digital medicine
Jul 9, 2025
Lymph node micro-metastasis represents the initial stage of breast cancer spread or metastasis. However, the limited size of these hidden lesions restricts dataset expansion, presenting a significant challenge for manual examination and conventional ...
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