AI Medical Compendium

Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds

arXiv Aug 20, 2025

Reconstructing 3D human bodies from sparse views has been an appealing topic, which is crucial to broader the related applications. In this paper, we propose a quite challenging but valuable task to reconstruct the human body from only two images, ... read more

Graphics Computer Vision and Pattern Recognition

Integrating Patient Perspectives Into the Digital Health Technology Readiness Framework: Delphi Study.

Journal of medical Internet research Aug 20, 2025

BACKGROUND: Digital health technologies-including mobile applications, telemedicine platforms, artificial intelligence, and eHealth tools-are transforming health care delivery by enhancing access, personalization, and efficiency. However, traditional... read more

Humans Telemedicine Patient Participation Delphi Technique Digital Health

Effect of discontinuing antipsychotic medications on the risk of hospitalization in long-term care: a machine learning-based analysis.

BMC medicine Aug 20, 2025

BACKGROUND: Antipsychotic medications are frequently prescribed to older residents of long-term care facilities (LTCFs) despite their limited efficacy and considerable safety risks. While discontinuation of these drugs might help reduce their associa... read more

Finland Long-Term Care Antipsychotic Agents Aged, 80 and over Registries Male Hospitalization Aged Humans Female Retrospective Studies Machine Learning

Cancer care coordination determinants of depression in head and neck cancer survivors.

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer Aug 20, 2025

PURPOSE: This study aims to explore the role of patient-reported cancer care coordination in explaining depression among head and neck (HNC) cancer survivors. read more

Aged Adult Female Humans Cancer Survivors Patient Reported Outcome Measures Depression Male Head and Neck Neoplasms Cross-Sectional Studies Middle Aged Surveys and Questionnaires

A multi-scale neighbor topology guided transformer and Kolmogorov-Arnold network enhanced feature learning model for disease-related circRNA prediction.

IEEE journal of biomedical and health informatics Aug 20, 2025

As circular non-coding RNA (circRNA) is closely associated with various human diseases, identifying disease-related circRNAs can provide a deeper understanding of the mechanisms underlying disease pathogenesis. Advanced circRNA-disease association pr... read more

Introduction of sub-band augmentation with machine learning to develop an insomnia classification model using single-channel EEG signals.

Physiological measurement Aug 20, 2025

Biological signals can be used to record sleep activities and can be used to identify sleep disorders. Insomnia is a sleep disorder that can be detected using supervised learning models developed using biological signal analysis. The baseline insomni... read more

Personalised & optimised therapy (POT) algorithm using five cognitive and behavioural skills for subthreshold depression.

NPJ digital medicine Aug 20, 2025

Personalising psychotherapies for depression may enhance their efficacy. We conducted a randomised controlled trial of smartphone cognitive-behavioural therapy (CBT) among 4,469 adults in Japan (RESiLIENT trial, UMIN-CTR UMIN000047124). Participants ... read more

Trans-omics analyses identify the biochemical network of LPCAT1 associated with coronary artery disease.

Biomarker research Aug 20, 2025

BACKGROUND: Coronary artery disease (CAD) remains a leading cause of mortality in developed nations. While previous genome-wide association studies have identified single-nucleotide polymorphisms (SNPs) linked to CAD, their impact on disease progress... read more

Sarcopenia Assessment Using Fully Automated Deep Learning Predicts Cardiac Allograft Survival in Heart Transplant Recipients.

Circulation. Heart failure Aug 20, 2025

BACKGROUND: Sarcopenia is associated with adverse outcomes in patients with end-stage heart failure. Muscle mass can be quantified via manual segmentation of computed tomography images, but this approach is time-consuming and subject to interobserver... read more

Optimizing timing and cost-effective use of plasma biomarkers in Alzheimer's disease.

Alzheimer's research & therapy Aug 20, 2025

BACKGROUND AND OBJECTIVES: Early and cost-effective identification of amyloid positivity is crucial for Alzheimer's disease (AD) diagnosis. While amyloid PET is the gold standard, plasma biomarkers such as phosphorylated tau 217 (pTau217) provide a p... read more

Peptide Fragments Alzheimer Disease Glial Fibrillary Acidic Protein Middle Aged Machine Learning Amyloid beta-Peptides Cost-Benefit Analysis tau Proteins Biomarkers Neurofilament Proteins Male Humans Aged Positron-Emission Tomography Female Aged, 80 and over

Artificial Intelligence Medical Compendium