Latest AI and machine learning research in practice management for healthcare professionals.
BACKGROUND: High-quality echocardiography is essential for accurate and reproducible assessment of cardiac functional indices, which are highly dependent on adequate image quality and proper probe alignment. An artificial intelligence (AI)-based approach may enable automated image quality assessment. AIMS: Our aim was to develop and internally validate an AI-based algorithm to predict image qualit...
Circular RNAs (circRNAs) were first identified approximately 50 years ago in pathogenic viroids as single-stranded, covalently closed RNA molecules. Initially considered by-products of splicing, circRNAs are now recognised as an important class of regulatory RNAs involved in microRNA sponging, RNA-protein interactions, and cellular pathways. Their closed-loop structure, generated through backsplic...
BACKGROUND: Pneumothorax is a finding that is frequently missed in the emergency department, particularly in cases with subtle radiographic features, ...
BACKGROUND: Artificial intelligence (AI), particularly generative AI and large language models, is increasingly used for assessment-related tasks in m...
BACKGROUND: Risk stratification in non-ischemic cardiomyopathies (NICM) remains challenging despite guideline-based phenotypic classification using mu...
BACKGROUND: Postpartum haemorrhage (PPH) accounts for approximately 27% of maternal deaths worldwide and often requires blood transfusion, along with ...
BACKGROUND: Withholding and withdrawing life-sustaining therapy (LST) is common in European ICUs but significant variations exist. Behaviour artificia...
Foundation models are transforming transcriptome analysis, yet most RNA sequencing (RNA-seq) foundation models are pretrained on sparse single-cell RN...
Parkinson's disease (PD) is a progressive neurodegenerative disorder with significant variability associated with substantial loss of dopaminergic neu...
Clinical data management (CDM) is central to the quality of clinical research. In Japan, CDM faces a shortage of qualified personnel, particularly in ...
BACKGROUND: Transvenous lead extraction (TLE) requires high expertise in mechanical dilatation (MD), with double the risk of death and failure in low-...
OBJECTIVE: A major problem with reviewing the statistical methodology in published medical articles is that extracting the necessary details from larg...
Accurate mortality prediction in older adults is a critical component of precision public health and risk stratification in healthcare systems worldwi...
BACKGROUND: Motivational interviewing (MI) is an effective counseling approach for promoting health behavior change, but its scalability is constraine...
PURPOSE: Medicare's New Technology Add-On Payment (NTAP) incentivizes the adoption of innovative technologies. We examined factors associated with the...
Bayesian models of cognition have gained considerable traction in computational neuroscience and psychiatry. Their scopes are now expected to expand r...
MOTIVATION: Understanding the functional impact of genetic variants is a key problem for precision medicine. Tools like CADD, PhyloP, and PhastCons ar...
Mental health disorders are highly prevalent worldwide, yet access to timely and effective mental health assessment (and care) remains limited. Artifi...
BACKGROUND: Urinary tract infection (UTI) is among the most common bacterial infections in children and can lead to both acute and chronic complicatio...
This paper proposes and designs a reconfigurable antenna-based multifrequency encodable RFID sensor integrated with a random forest machine learning a...