AI Medical Compendium

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.

Insights into imaging May 21, 2026

With the rapid advancement of multi-detector computed tomography (MDCT) and image post-processing technologies, CT angiography (CTA) has become a cornerstone in the diagnosis of vascular diseases. Despite its widespread use, conventional volume rende... read more

Integrative Intelligence as an Operative Mode: Cognitive Integration through Self-Ethnographic Dialogue with AI.

Integrative psychological & behavioral science May 21, 2026

This paper proposes Integrative Intelligence as an operative mode of human judgment in which temporal integration (past-present-future), contextual integration (roles, relationships, life domains), and embodied integration (body, emotion, thought, me... read more

Transformative potential of digital systems for promoting human-wildlife coexistence: A systematic literature review.

Ambio May 21, 2026

Digital technology plays an increasingly important role in wildlife management and conservation, by enhancing monitoring capabilities and reshaping human-wildlife interactions. However, the transformative potential of these digital solutions for coex... read more

[Artificial intelligence in urological surgery].

Urologie (Heidelberg, Germany) May 21, 2026

BACKGROUND: The integration of artificial intelligence (AI) into urological robotic surgery is currently in a dynamic phase of development and validation. Minimally invasive, standardized, and video-based procedures create highly data-rich operative ... read more

Multi-class anatomical landmark detection in periapical radiographs with deep learning.

Odontology May 21, 2026

This study aims to develop a deep learning model for the detection and segmentation of multiple anatomical landmarks on periapical radiographs from the maxilla and mandible. A total of 1930 paralleling-technique periapical radiographs with 21 annotat... read more

Artificial Intelligence Medical Compendium