Artificial Intelligence Medical Compendium

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

Showing 37,571 to 37,580 of 223,469 articles

Zero-Shot Lung Disease Detection Using Radiological Symptomatic Descriptors and Pretrained Neural Networks.

Journal of imaging informatics in medicine Mar 30, 2026
Aligning radiological features with clinical text descriptions remains a key challenge for zero-shot disease recognition in chest radiography. We propose DVLM (Dual-Head Vision-Language Model with Neural Memory), a framework combining Vision Transfor... read more 

Attention-Driven Deep Learning for Hydrocephalus: Preliminary Benchmarking of Multiscale 3D Attention Against Conventional 3D CNN Models Using Ventricular Enlargement on CT.

Journal of imaging informatics in medicine Mar 30, 2026
Hydrocephalus is characterized by abnormal cerebrospinal fluid accumulation causing ventricular enlargement, which, if undetected, can lead to neurological damage. Conventional two-dimensional CT indices often underestimate volumetric deformation. De... read more 

Deep Learning for Medical Ultrasound Image Segmentation: A Systematic Review of the Current Research.

Journal of imaging informatics in medicine Mar 30, 2026
Deep learning (DL) has enabled automated segmentation of ultrasound images, and due to the rapid development of DL models, we want to offer a comprehensive overview of the current state of research. Following PRISMA 2020 guidelines, we systematically... read more 

Evaluating No-Code and Low-Code Platforms for Medical Image Classification: A Systematic Review.

Journal of imaging informatics in medicine Mar 30, 2026
The adoption of artificial intelligence in clinical practice is often limited by the technical complexity of model development, particularly for medical professionals without programming expertise. This study aims to evaluate and compare existing no-... read more 

Diagnostic Improvement in Endoleak Detection: The Role of Low-energy Virtual Monochromatic CT and Deep Learning Reconstruction.

Journal of imaging informatics in medicine Mar 30, 2026
To assess the diagnostic performance of low-energy virtual monochromatic CT imaging (VMI) combined with deep learning image reconstruction (DLIR) for detecting endoleaks. Seventy-one patients who underwent contrast-enhanced CT after endovascular aort... read more 

Are AI chatbots ready for endodontics? Evaluating their validity, consistency, and readability in patient-oriented responses.

Odontology Mar 30, 2026
This study aimed to evaluate and compare the responses provided by ChatGPT-4o, Google Gemini (2.0 Flash) and Microsoft Copilot to frequently asked questions (FAQs) in endodontics. Fifty patient-oriented, open-ended endodontic FAQs were formulated by ... read more 

Dual-energy CT clot and peri-clot radiomics for predicting complete reperfusion and clinical outcome following endovascular therapy in acute ischemic stroke.

Insights into imaging Mar 30, 2026
OBJECTIVES: Complete reperfusion is the optimal technical goal of endovascular therapy (EVT) and is closely linked to favorable outcomes in acute ischemic stroke (AIS). This study developed and validated clot- and peri-clot-based radiomics models on ... read more 

Interpretable Machine Learning for Feature-Based Classification of Platelet Activation in Rotary Blood Pumps.

Cardiovascular engineering and technology Mar 30, 2026
BACKGROUND: Thrombosis in rotary blood pumps arises from complex flow conditions that remain difficult to translate into reliable and interpretable risk predictions using existing computational models. This limitation reflects an incomplete understan... read more 

Image-Based Medical Navigation Systems for Cardiac Interventions: Recent Technological Advances.

Cardiovascular engineering and technology Mar 30, 2026
BACKGROUND: The application of catheter-based treatments for a growing range of structural heart diseases (SHD) has significantly increased over the past five years, driven by technological advances in medical navigation systems, particularly those b... read more 

Neoantigen Targeting as a Novel Approach for Therapy-Resistant Tumors.

Molecular diagnosis & therapy Mar 30, 2026
Neoantigens have emerged as central targets in the development of individualized cancer vaccines, as they are recognized by the immune system as foreign and can elicit potent anti-tumor responses. Advances in computational algorithms and machine lear... read more 
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