AI Medical Compendium

Synthetic Data Generated by Artificial Intelligence to Optimize Surgical Trial Design.

Annals of surgery Aug 6, 2025

OBJECTIVE: This study aimed to assess artificial intelligence (AI)-based synthetic data (SD) generation technology in surgery, evaluating the accuracy of the generated data and comparing the derived outcomes with real-world data. read more

Extending Foundational Monocular Depth Estimators to Fisheye Cameras with Calibration Tokens

arXiv Aug 6, 2025

We propose a method to extend foundational monocular depth estimators (FMDEs), trained on perspective images, to fisheye images. Despite being trained on tens of millions of images, FMDEs are susceptible to the covariate shift introduced by changes... read more

Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning

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

Socioeconomic impact of artificial intelligence-driven point-of-care testing devices for liquid biopsy in the OncoCheck system.

Cancer metastasis reviews Aug 6, 2025

Cancer disparities in low- and middle-income countries (LMICs) persist because of socioeconomic inequalities and limited access to screening infrastructure, which requires equitable diagnostic solutions. As researchers, we need to develop interventio... read more

Humans Artificial Intelligence Neoplasms Socioeconomic Factors Early Detection of Cancer Point-of-Care Testing Liquid Biopsy

AI-Guided Cardiac Computer Tomography in Type 1 Diabetes Patients with Low Coronary Artery Calcium Score.

Diabetes technology & therapeutics Aug 6, 2025

Cardiovascular risk stratification based on traditional risk factors lacks precision at the individual level. While coronary artery calcium (CAC) scoring enhances risk prediction by detecting calcified atherosclerotic plaques, it may underestimate r... read more

Artificial intelligence and digital health in vascular surgery: a 2-decade bibliometric analysis of research landscapes and evolving frontiers.

Journal of robotic surgery Aug 6, 2025

To analyze the structural and temporal evolution of artificial intelligence (AI) and digital health applications in vascular surgery over the past two decades, identifying historical development trajectories, research focal points, and emerging front... read more

Humans Artificial Intelligence Digital Health Biomedical Research Bibliometrics Telemedicine Vascular Surgical Procedures

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

Adaptive resetting for informed search strategies and the design of non-equilibrium steady-states.

Nature communications Aug 6, 2025

Stochastic resetting, the procedure of stopping and re-initializing random processes, has recently emerged as a powerful tool for accelerating processes ranging from queuing systems to molecular simulations. However, its usefulness is severely limite... read more

Deep learning-based radiomics does not improve residual cancer burden prediction post-chemotherapy in LIMA breast MRI trial.

European radiology Aug 6, 2025

OBJECTIVES: This study aimed to evaluate the potential additional value of deep radiomics for assessing residual cancer burden (RCB) in locally advanced breast cancer, after neoadjuvant chemotherapy (NAC) but before surgery, compared to standard pred... read more

Toward automated assessment of conjunctival hyperemia: A semisupervised artificial intelligence approach.

Annals of the New York Academy of Sciences Aug 6, 2025

This paper develops an automated approach for conjunctival hyperemia grading from slit-lamp images using semisupervised learning. We conducted a retrospective study including slit-lamp images from two study sites. Two independent graders assessed the... read more

Artificial Intelligence Medical Compendium