Artificial Intelligence Medical Compendium

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

Showing 34,141 to 34,150 of 221,510 articles

The CAMUS Initiative: A Multiphase, Multicentre International Collaboration to Redefine Risk Stratification, Reporting, and Grading of Surgical Complications in Urology.

European urology open science
Surgical complications remain a major source of preventable morbidity, mortality, and health care expenditure, but existing frameworks such as the Clavien-Dindo classification and Comprehensive Complication Index are clinician-centred and interventio... read more 

Demystifying machine learning approaches in digital bone imaging using microCT and HRpQCT.

Bone reports
Micro-computed tomography (microCT) and high-resolution peripheral quantitative computed tomography (HRpQCT) generate three-dimensional digital images capturing bone structure and quality. Radiomic analytical approaches applied to these images extrac... read more 

Development, validation, and visualization of a novel nomogram for predicting clinical outcomes of postoperative cervical cancer patients.

Scientific reports
To develop a context-aware multi-instance learning (TransMIL) model based on whole-slide pathological images and integrate it with clinical parameters, thereby constructing a multimodal model for prognostic prediction in postoperative cervical cancer... read more 

Building and validating machine learning models to predict appendiceal perforation during conservative treatment of fecalith-associated appendicitis: a 20-algorithm multicenter retrospective analysis.

Scientific reports
Fecalith-associated appendicitis presents unique challenges in conservative management due to increased perforation risk. Early identification of patients at high risk for appendiceal perforation during conservative treatment remains crucial for opti... read more 

Text guided cross attentive multimodal learning with visual feature modulation for automated skin lesion detection.

Scientific reports
Automated skin lesion detection is essential for early dermatological diagnosis. Most deep learning algorithms employ dermoscopic images and ignore the clinical context of dermatologists. This constraint decreases the robustness and interpretability,... read more 

Physics-informed graph neural networks for real-time prediction of wall shear stress in stenotic coronary arteries.

Scientific reports
Wall shear stress (WSS) is a key hemodynamic parameter associated with atherosclerotic plaque development in coronary arteries. In this study, we developed a physics-informed graph neural network (PI-GNN) for efficient prediction of WSS distributions... read more 

Artistic collaborative design optimization of urban public architecture based on faster region convolutional neural network and artificial intelligence.

Scientific reports
This study proposes a collaborative design optimization framework based on the improved Faster Region-based Convolutional Neural Network (Faster R-CNN). It aims to handle the current situation of over-reliance on subjective experience and low collabo... read more 

Smart medical system integrating clinical workflows for robust skin cancer detection across heterogeneous pathologies.

Scientific reports
Skin cancer is among the most prevalent and life-threatening dermatological diseases worldwide, with melanoma responsible for a substantial proportion of skin cancer-related deaths due to delayed and unreliable diagnosis. Conventional clinical screen... read more