Artificial Intelligence Medical Compendium

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

Showing 41,401 to 41,410 of 223,853 articles

Coronary artery disease diagnosis with signal processing and machine learning of heart sound signals: a systematic review.

NPJ digital medicine Mar 16, 2026
Coronary artery disease (CAD) remains a major contributor to morbidity and mortality worldwide. Heart sound analysis has been investigated as a noninvasive approach to CAD detection, although existing evidence has been inconsistent. This systematic r... read more 

Compact Involutional Transformer for Automated Detection of Pediatric Tooth Number Anomalies on Panoramic Radiographs.

Journal of imaging informatics in medicine Mar 16, 2026
Pediatric tooth number anomalies can compromise occlusion, craniofacial development, and long-term treatment planning. This study introduces the Compact Involutional Transformer (CIT), a novel transformer architecture for automated detection of perma... read more 

Automated Prediction of Radiological Protocols Using Retrieval Augmented Generation.

Journal of imaging informatics in medicine Mar 16, 2026
Radiological protocol selection is a critical but time-consuming step in clinical workflow, requiring radiologists to match patient indications with an appropriate MRI or CT protocol. Manual selection can be prone to delays or potential errors, and a... read more 

Robust Histopathology Subtyping via Perturbation Fidelity in Deep Classifier.

Journal of imaging informatics in medicine Mar 16, 2026
Deep learning for invasive lung adenocarcinoma subtyping remains vulnerable to real-world imaging perturbations. We present a margin consistency framework evaluating 203,226 patches from 143 whole-slide images across five adenocarcinoma subtypes from... read more 

Out-of-Distribution Detection in Medical Image Segmentation with β -VAE and Likelihood Regret.

Journal of imaging informatics in medicine Mar 16, 2026
The performance of deep learning models can be compromised in the presence of Out-of-Distribution (OOD) data, i.e., data which deviates from the training distribution, the IN-distribution. This work examines OOD detection for medical image segmentati... read more 

Regional-scale predictive mapping of soil organic carbon in South Gujarat, India using machine learning algorithms.

Environmental monitoring and assessment Mar 16, 2026
Soil organic carbon (SOC) is essential for evaluating soil health and ecosystem functionality. Despite the increasing application of machine learning (ML) algorithms to predict the SOC, their accuracy in high-resolution mapping remains underexplored.... read more 

Lonely individuals have a more negative perception of their bodies: The mediating role of self-cognition and social perception brain network connectivity.

Cognitive, affective & behavioral neuroscience Mar 16, 2026
BACKGROUND: Negative body image is a prevalent issue among young individuals. Loneliness induces negative cognitive biases in individuals, which contribute to more negative self-evaluations and social perception. However, the role of loneliness as a ... read more 

[Magnetic resonance imaging in dementia].

Radiologie (Heidelberg, Germany) Mar 16, 2026
Magnetic resonance imaging (MRI) plays a pivotal role in the diagnostic work-up of dementia. In addition to excluding secondary and potentially treatable causes, MRI enables the identification of characteristic neuroanatomical patterns that support t... read more 

Machine learning based prediction of mechanical strength in self-compacting concrete incorporating electronic waste aggregates.

Environmental science and pollution research international Mar 16, 2026
This study focuses on the impact of using electronic waste (E-waste) as partial replacement for gravels in the Self-Compacting Concrete (SCC) with the mixing of 10% Alccofinite, and 20% fly ash as supplementary cementitious materials. To assess perfo... read more 

Prediction and assessment of water quality index for surface water using 1D CNN and SVR models.

Environmental science and pollution research international Mar 16, 2026
Water quality monitoring is essential for managing and protecting surface water resources. Traditionally, assessing water quality relied on time-consuming laboratory analyses, which were prone to errors and often limited in accuracy, efficiency, and ... read more 
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