AI Medical Compendium

ATBiGRU: an interpretable temporal model for in-hospital mortality prediction in acute kidney injury.

Computer methods in biomechanics and biomedical engineering May 21, 2026

Acute kidney injury (AKI) is associated with high mortality and healthcare burden, particularly in developing countries. Existing machine learning models mainly rely on static data and cannot effectively capture dynamic clinical features. We propose ... read more

THBS1: a biomarker for PCOS and its role in pathogenesis via the PI3K/AKT signaling pathway.

Mammalian genome : official journal of the International Mammalian Genome Society May 21, 2026

This study identified thrombospondin-1 (THBS1) as a potential biomarker for polycystic ovary syndrome (PCOS) and its pivotal role in disease pathogenesis through multi-level bioinformatics analysis and experimental validation. By integrating five PCO... read more

Training-set conditionally valid prediction sets with right-censored data.

Lifetime data analysis May 21, 2026

Uncertainty quantification of prediction models through prediction sets is increasingly popular and successful, but most existing methods rely on directly observing the outcome and do not appropriately handle censored outcomes, such as time-to-event ... read more

Integrating network pharmacology, molecular docking, machine learning, and experimental validation: puerarin improves sepsis-induced acute kidney injury via the Sirt1-Nrf2-HO-1 pathway.

Naunyn-Schmiedeberg's archives of pharmacology May 21, 2026

Acute kidney injury (AKI) associated with sepsis has a high clinical mortality rate, and there is a lack of effective therapeutic targets; uncontrolled oxidative stress and inflammatory responses are central pathological mechanisms. The Sirt1-Nrf2-HO... read more

Acquisition time/dose reduction in pediatric PET imaging using patch-based deep learning.

EJNMMI physics May 21, 2026

BACKGROUND: Deep learning (DL)-based denoising methods have shown promise for reducing radiation dose and/or acquisition time in pediatric PET imaging. However, conventional DL approaches typically require large and diverse training datasets to achie... read more

Noninvasive detection and prognostic stratification of biliary tract cancer using cell-free DNA fragmentomics: a model development and validation study.

Molecular biomedicine May 21, 2026

Biliary tract cancer (BTC) is typically diagnosed at an advanced stage due to the lack of effective screening tools, resulting in limited therapeutic options and poor survival outcomes. Therefore, there is a critical need for non-invasive strategies ... read more

Qualitative perspectives of early surgeon users on the value of the daVinci 5 surgical system.

Journal of robotic surgery May 21, 2026

To understand the value and experience of using the da Vinci 5 (dV-5) robotic surgical system among early-adopting surgeons in the United States. In March 2024, da Vinci 5 was released with new features such as a haptic technology (called Force Feedb... read more

The Evolving Utility of Artificial Intelligence-Based Tools for the Detection of Heart Failure and Cardiomyopathies: From Potential to Implementation.

Current heart failure reports May 21, 2026

PURPOSE OF REVIEW: Artificial intelligence (AI) is poised to transform heart failure (HF) care across the clinical continuum, yet a substantial gap remains between model development and implementation. This review aims to summarize key AI-enabled inn... read more

Peer review: historical evolution and reviewers' learning.

Insights into imaging May 21, 2026

Peer review is the result of a long historical evolution. From the Greek philosophy (the metaphor of Socratic maieutics) to the Cartesian method of systematic doubt and analytical reconstruction, from the informal editorial judgments of seventeenth-c... read more

Cinematic rendering in CT angiography: a pictorial review of clinical applications.