Artificial Intelligence Medical Compendium

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

Showing 34,271 to 34,280 of 221,510 articles

A multi-modal data fusion and real-time monitoring on stroke risk prediction using federated learning.

PloS one
Predicting the risk of stroke is one of the critical problems in healthcare, which necessitates efficient solutions for providing accurate and prompt risk assessments while preserving data confidentiality. This work proposes a new framework using Fed... read more 

Attention and residual mechanism-based CNN architecture (ARC-Net) with enhanced fairness generalization for deepfake facial image detection.

PloS one
Deepfake (DF) content poses a major challenge to digital media authentication, that can mimic facial movements, creating realistic replicas that risk spreading misinformation and enabling harassment, as can be seen in Bangladesh. Previous studies app... read more 

Artificial Intelligence-Enabled Prediction of Reversible Versus Irreversible Chemotherapy-Induced Myocardial Injury: Toward Precision Cardio-Oncology.

Cardiology in review
Cancer therapy-related cardiac dysfunction remains a major cause of morbidity among cancer survivors and may interrupt life-saving oncologic therapy or lead to chronic heart failure. Conventional surveillance relies largely on serial assessment of le... read more 

Direct robust adaptive tracking control of electric vehicles based on radial basis function neural networks.

PloS one
This paper presents a direct robust adaptive tracking control strategy for the Iongitudinal motion of electric vehicles (EVs) subject to parametric uncertainties, nonlinear dynamics, and external disturbances. The vehicle longitudinal dynamics are fo... read more 

Identifying minimal risk factors for adolescent suicidal ideation and suicide attempts: A machine learning-optimized approach.

PloS one
This study aimed to develop and validate a machine learning (ML) model to identify the minimal risk factors for adolescent suicidal behaviors, including suicidal ideation and suicide attempts. Data from the Korea Youth Risk Behavior Web-based Survey ... read more 

An empirical exploration of the diversified R ecosystem.

PloS one
Born in the late 20th century, R has become one of the most widely used software environments for statistical computing and graphics, undergoing substantial transformation alongside advances in information technology and the rise of data-intensive re... read more 

Deep Learning for Content-Based Medical Image Retrieval in Picture Archiving and Communication Systems for Brain Tumor Detection: Algorithm Development and Validation.

JMIR medical informatics
BACKGROUND: Advances in medical imaging have led to massive archives, yet navigating these datasets remains challenging due to the limitations of traditional text-based search engines. While content-based medical image retrieval (CBMIR) offers a visu... read more 

Investigating the factors of three-wheeled autorickshaw (3W-AR) crash severity: comparison of explainable machine learning models.

International journal of injury control and safety promotion
Three-wheeled autorickshaws (3W-ARs), locally called Bajaj, are a vital mode of public transport in Ethiopia. However, their crash involvement remains an overlooked critical mobility challenge. This study investigates the crash severity influence fac... read more 

AI-derived therapeutic development of a serotonin receptor-targeting drug for the treatment of opioid use disorder.

Proceedings of the National Academy of Sciences of the United States of America
The opioid epidemic has led to a devastating loss of life nationwide. Of those dependent on opioids, many individuals desire to quit or reduce use, but their efforts are often unsuccessful given the powerful reinforcing properties associated with opi... read more 

Cleft related facial skeletal surgery: an update.

Current opinion in otolaryngology & head and neck surgery
PURPOSE OF REVIEW: This review provides a comprehensive update on advancements and evolving paradigms in cleft-related facial skeletal surgery. It evaluates recent literature concerning the integration of artificial intelligence in surgical predictio... read more