AI Medical Compendium

Stakeholder Perspectives on Trustworthy AI for Parkinson Disease Management Using a Cocreation Approach: Qualitative Exploratory Study.

Journal of medical Internet research Aug 6, 2025

BACKGROUND: Parkinson disease (PD) is the fastest-growing neurodegenerative disorder in the world, with prevalence expected to exceed 12 million by 2040, which poses significant health care and societal challenges. Artificial intelligence (AI) system... read more

Humans Artificial Intelligence Trust Qualitative Research Parkinson Disease Stakeholder Participation

Spatiotemporal instability analysis of active traveller injury severities with small sample size and imbalanced crash data.

International journal of injury control and safety promotion Aug 6, 2025

Active traveller (including pedestrians and bicyclists) crashes pose significant challenges to sustainable transportation. Active traveller injury severities not only demonstrate temporal variations, but also differ across different functional zones ... read more

Determination of high-confidence germline genetic variants in next-generation sequencing through machine learning models: an approach to reduce the burden of orthogonal confirmation.

BMC genomics Aug 6, 2025

Validation of the Klinrisk Machine Learning Model for CKD Progression in a Large Representative US Population.

Journal of the American Society of Nephrology : JASN Aug 6, 2025

BACKGROUND: Early identification of high-risk chronic kidney disease (CKD) can facilitate optimal medical management and improve outcomes. We aimed to validate the Klinrisk machine learning model for prediction of CKD progression in large US commerci... read more

OS Agents: A Survey on MLLM-based Agents for General Computing Devices Use

arXiv Aug 6, 2025

The dream to create AI assistants as capable and versatile as the fictional J.A.R.V.I.S from Iron Man has long captivated imaginations. With the evolution of (multi-modal) large language models ((M)LLMs), this dream is closer to reality, as (M)LLM-... read more

Artificial Intelligence Computation and Language Computer Vision and Pattern Recognition Machine Learning

Comparison of machine learning models for mucopolysaccharidosis early diagnosis using UAE medical records.

Scientific reports Aug 6, 2025

Rare diseases, such as Mucopolysaccharidosis (MPS), present significant challenges to the healthcare system. Some of the most critical challenges are the delay and the lack of accurate disease diagnosis. Early diagnosis of MPS is crucial, as it has t... read more

Humans Machine Learning Algorithms Retrospective Studies Electronic Health Records Female Young Adult Male Infant Adolescent Child, Preschool Child Bayes Theorem Early Diagnosis Mucopolysaccharidoses

Artificial Intelligence-Augmented Human Instruction and Surgical Simulation Performance: A Randomized Clinical Trial.

JAMA surgery Aug 6, 2025

IMPORTANCE: How the Intelligent Continuous Expertise Monitoring System, an artificial intelligence tutoring system, might be best optimized for surgical training is unknown. read more

Semi-supervised medical image segmentation based on multi-stage iterative training and high-confidence pseudo-labeling.

Biomedical physics & engineering express Aug 6, 2025

Due to the scarcity and high cost of pixel-level annotations for training data, semi-supervised learning has gradually become a key solution. Most existing methods rely on consistency regularization and pseudo-label generation, often adopting multi-b... read more

Humans Algorithms Reproducibility of Results Image Processing, Computer-Assisted Magnetic Resonance Imaging Heart Supervised Machine Learning

Artificial intelligence algorithms for differentiating pseudoprogression from true progression in high-grade gliomas: A systematic review and meta-analysis.

Neurosurgical review Aug 6, 2025

Differentiating pseudoprogression (PsP) from true progression (TP) in high-grade glioma (HGG) patients is still challenging and critical for effective treatment management. This meta-analysis evaluates the diagnostic accuracy of artificial intelligen... read more

Humans Artificial Intelligence Algorithms Brain Neoplasms Disease Progression Glioma Neoplasm Grading

Real-World Adversarial Defense against Patch Attacks based on Diffusion Model.

IEEE transactions on pattern analysis and machine intelligence Aug 6, 2025

Adversarial patches present significant challenges to the robustness of deep learning models, making the development of effective defenses become critical for real-world applications. This paper introduces DIFFender, a novel DIFfusion-based DeFender ... read more

Artificial Intelligence Medical Compendium