Artificial Intelligence Medical Compendium

Recent advances in spatial transcriptomics (ST) have significantly enhanced our understanding of tissue structure and intercellular interactions. However, existing methods for spatial domain identification and cell type deconvolution still face chall... read more 

BACKGROUND: Facial expressions convey nonverbal signals of internal emotional states and hold potential as important markers for affective disorders such as depression. METHODS: Here, we adopted a naturalistic paradigm and combined with an inter-subj... read more 

OBJECTIVE: Automated segmentation models for volumetric measurement of vestibular schwannoma (VS) have been developed for sporadic VS but not for bilateral VS. Automated segmentation would be especially valuable in this setting: patients with neurofi... read more 

Colonoscopy plays a pivotal role in colorectal cancer (CRC) screening and reduces CRC incidence and mortality. Its effectiveness depends on colonoscopist performance, which can vary. Missed lesions during colonoscopy can lead to post-colonoscopy CRC ... read more 

INTRODUCTION: larynGuide™ is a novel assistive software integrated with the C-MAC® videolaryngoscope, which provides guidance during laryngoscopy and advises on tracheal tube position. This first in-human study evaluated the accuracy and reliability ... read more 

PURPOSE OF THE REVIEW: With the widespread integration of spinal cord stimulation (SCS) into clinical practice, understanding its ethical, economic, and patient-centered implications has become increasingly important. This review critically examines ... read more 

AIMS/HYPOTHESIS: Available methods for predicting the onset and progression of diabetic kidney disease (DKD) and end-stage kidney disease (ESKD) are not yet ready for clinical application. We used a Japanese diabetes cohort study (J-DREAMS) to examin... read more 

The use of artificial intelligence (AI) to improve the diagnosis, assessment and treatment of people with diabetes has the potential to drive a paradigm shift in diabetes care, both minimising treatment inertia and optimising clinical outcomes. This ... read more 

PURPOSE: We aim to apply the deep learning (DL) technique to predict the gold-standard invasive coronary angiography (ICA) for coronary artery disease (CAD) diagnosis, from non-invasive myocardial perfusion SPECT (MP-SPECT). METHODS: A total of 515 a... read more 

Accurate differential diagnosis of oral lesions is challenging. Large language models (LLMs) may support clinicians, but expert-validated evidence on ranked differential lists remains limited. This study aimed to compare ChatGPT-5 with ChatGPT-4o and... read more