AI Medical Compendium

Development and internal validation of an explainable machine learning model for predicting textbook outcome after free flap reconstruction in oral cancer.

Oral oncology Jun 3, 2026

OBJECTIVE: To develop and internally validate an explainable machine learning model for predicting textbook outcome (TO) after free flap reconstruction in oral cancer surgery. METHODS: This single-center retrospective study included 752 patients with... read more

Artificial Intelligence-Mediated Teledentistry for Ageing Populations: Toward Intelligent Intermediary Support in Home-Based Oral Care.

International dental journal Jun 3, 2026

The rapid ageing of the global population is reshaping oral health care delivery, with increasing numbers of older adults receiving care in home-based or dependent settings where access to dental services remains limited. Although teledentistry has e... read more

Quality assessment of radiographs through AI-driven feedback: A randomized comparative study on radiographer response in lateral knee radiographs.

Radiography (London, England : 1995) Jun 3, 2026

INTRODUCTION: High-quality radiographic positioning is essential for accurate diagnosis in knee imaging. Although artificial intelligence (AI) can assess image quality with high accuracy, its influence on radiographers' clinical decision-making remai... read more

Danilo Bzdok.

Neuron Jun 3, 2026

In this interview with Neuron, Danilo Bzdok argues that artificial intelligence and big data herald a paradigm shift in neuroscience. Leveraging large language models, researchers can overcome traditional, intuition-driven taxonomies, bridge discipli... read more

Genomic and socioeconomic drivers of antimicrobial resistance forecast to 2050.

Cell genomics Jun 3, 2026

Antimicrobial resistance (AMR) is rising worldwide, and a better understanding of the genetic and socioeconomic determinants tied to it may establish a vantage point for surveillance and intervention. Unfortunately, the interactions between antibioti... read more

Cross-species integration of single-cell data reveals conserved pathology-associated cell populations across animal models and human samples.

Cell reports methods Jun 3, 2026

Single-cell RNA sequencing (scRNA-seq) enables high-resolution profiling of cellular heterogeneity, but integrating data across species remains challenging due to technical variation and complex gene homology. We present TACMAN (transformer-based ali... read more

Exploring AI scribes in Norwegian general practice: a qualitative individual interview study.

Scandinavian journal of primary health care Jun 3, 2026

OBJECTIVE: To explore how Artificial intelligence (AI) scribes influence Norwegian general practitioners' (GPs) clinical practice, focusing on their impact on workflow, consultation routines, and professional responsibility, and to explore GPs reflec... read more

Learning and deskilling effects of artificial intelligence in colonoscopy among endoscopists with different levels of experience: a pragmatic, prospective trial.

Endoscopy Jun 3, 2026

BACKGROUND: The effect of computer-aided detection (CADe) on performance of endoscopists with different experience levels is not well understood. This study assessed whether CADe use promotes learning or deskilling. METHODS: We performed a prospectiv... read more

Impact of Deep-Learning Reconstruction on MRI Workflows: A Retrospective Analysis at a Large Academic Tertiary Center.

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin Jun 3, 2026

PURPOSE: Artificial intelligence is increasingly integrated in clinical practice. In radiological imaging, deep-learning (DL)-based image reconstruction techniques show potential for accelerating and enhancing the quality of examination procedures in... read more

Advances in the diagnosis and detection of chronic kidney disease.

Lancet (London, England) Jun 3, 2026

Chronic kidney disease affects 788-844 million adults worldwide and is projected to become the fifth leading cause of death by 2040. Global burden estimates remain limited by ascertainment bias and inadequate access to testing, particularly in low-in... read more

Artificial Intelligence Medical Compendium