AI Medical Compendium

Facilitators and Barriers to Implementing AI in Routine Medical Imaging: Systematic Review and Qualitative Analysis.

Journal of medical Internet research Jul 21, 2025

BACKGROUND: Artificial intelligence (AI) is rapidly advancing in health care, particularly in medical imaging, offering potential for improved efficiency and reduced workload. However, there is little systematic evidence on process factors for succes... read more

Humans Artificial Intelligence Qualitative Research Diagnostic Imaging Workflow

An ML-Driven Participant Selection Technique for Federated Recommendation System in Edge-Cloud Computing

arXiv Jul 21, 2025

Recommendation systems (RS) personalize content by analyzing user preferences, but typically require centralized collection of user data, raising privacy and scalability concerns. Federated Recommendation Systems (FRS) address these issues by enabl... read more

Distributed, Parallel, and Cluster Computing

The Significance of Prolonged Physical Activity in Neurogenesis and Neural Regeneration: Comparing Clinical Studies With Proposed AI-Based Framework.

Artificial organs Jul 21, 2025

BACKGROUND: Adult neurogenesis is the biological process whereby neural stem cells (NSCs) differentiate into neurons and glial cells in specific areas of the adult brain. Impairments in neurogenesis may lead to many complications, including neurodege... read more

Polyfluoroalkyl Substance-Induced Nanoclusters Immobilized MOF-on-MOF Architecture Dissociation-Driven Machine Learning-Assisted Ratio Fluorescence Sensor Array.

Analytical chemistry Jul 21, 2025

The widespread use of polyfluoroalkyl substances (PFASs) threatens the ecosystem and human health, while their rapid multicomponent identification remains challenging. Here, for the first time, a metal nanocluster (MNC)-immobilized metal-organic fram... read more

Marigold: Affordable Adaptation of Diffusion-Based Image Generators for Image Analysis.

IEEE transactions on pattern analysis and machine intelligence Jul 21, 2025

The success of deep learning in computer vision over the past decade has hinged on large labeled datasets and strong pretrained models. In data-scarce settings, the quality of these pretrained models becomes crucial for effective transfer learning. I... read more

Advancements in predicting soil liquefaction susceptibility: a comprehensive analysis of ensemble and deep learning approaches.

Scientific reports Jul 21, 2025

Liquefaction is a phenomenon that occurs when there is a loss of strength in wet and cohesionless soil due to higher pore water pressures, and as a result, the effective stress is reduced due to dynamic loading. A construction site should first inves... read more

Get Your Brain in the Game: Using Machine Learning to Predict Recovery Timelines Following Sports-Related Concussion.

Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists Jul 21, 2025

OBJECTIVE: This exploratory proof-of-concept study aimed to develop predictive models for return-to-play (RTP) timelines following sports-related concussion using machine learning techniques. read more

Advancing Bioprinting Technology Utilizing Portable Bioprinters: From Various Device Designs to Dental Applications.

Annals of biomedical engineering Jul 21, 2025

Recent advancements in portable bioprinting technology present transformative opportunities for dental applications, enabling handy fabrication of biologically functional tissues. This narrative review examines the current state of portable bioprinti... read more

Latent Space Synergy: Text-Guided Data Augmentation for Direct Diffusion Biomedical Segmentation

arXiv Jul 21, 2025

Medical image segmentation suffers from data scarcity, particularly in polyp detection where annotation requires specialized expertise. We present SynDiff, a framework combining text-guided synthetic data generation with efficient diffusion-based s... read more

Image and Video Processing Artificial Intelligence Computer Vision and Pattern Recognition

Impact of metal oxides on thermal response of zirconia coated diesel engines fueled by Momordica biodiesel machine learning insights.