Latest AI and machine learning research in refractive surgery for healthcare professionals.
Artificial intelligence (AI) has rapidly emerged as a transformative tool in digital smile design, offering automated and data-driven esthetic solutions. However, the comparative perception of AI-generated smiles and those designed by dental professionals remains unclear. To compare the esthetic perception, preference, and acceptance of smiles designed by artificial intelligence and dental profess...
BACKGROUND: Machine learning (ML) models are increasingly used to predict acute kidney injury (AKI), but validation quality and clinical readiness remain uncertain. OBJECTIVE: This systematic review and meta-analysis aimed to summarize discrimination performance and implementation-relevant gaps for AKI occurrence and post-AKI mortality prediction. METHODS: We searched the Cochrane Library, Embase,...
Targeted protein degradation (TPD) has transitioned from a paradigm-shifting concept to a clinically validated strategy, with multiple degraders achie...
Newborn screening using tandem mass spectrometry requires complex post-analytical workflows, including QC review, patient report generation, and cutof...
BACKGROUND: Recovery after spinal cord injury (SCI) follows a complex and variable trajectory, yet the field lacks clear, data-driven definitions of t...
Post-operative acute kidney injury (PO-AKI) is a frequent complication after non-cardiac surgery, substantially increasing patients' mortality and mor...
INTRODUCTION: Health services are struggling to cope with the growing numbers of people coming with skin lesions they are worried could be cancer. Usi...
BACKGROUND: Automated multimedia analysis of remotely recorded tasks offers a scalable approach to screening and remote monitoring of movement disorde...
OBJECTIVE: Post-stroke depression (PSD) is under-recognized and associated with poorer rehabilitation outcomes and quality of life. We characterized P...
BACKGROUND: Hyperphosphataemia is a common metabolic complication of CKD and is associated with poor health outcomes. Dietary intervention is a key st...
The aim of this study is to evaluate the effect of an artificial intelligence (AI)-powered virtual patient application (ChatGPT) on the development of...
OBJECTIVE: Brain-predicted age difference (BrainAGE) is a neuroimaging biomarker reflecting brain health, with potential implications for post-stroke ...
AIM: To explore the notion of post-humanism and the impact of artificial intelligence (AI) on society, nursing and healthcare. DESIGN: Discursive pape...
The high-altitude and unique climatic conditions of Tibet can have a significant impact on the growth and development of local children and adolescent...
Advances in GPCR biology and drug-discovery technology are simultaneously reshaping what can be targeted in asthma and how those strategies must be va...
BACKGROUND: The increasing global prevalence of pediatric myopia has led to the widespread use of atropine for myopia control. Despite its proven effi...
Physiotherapy has long resisted the forces that restructured manufacturing, journalism, and finance. This resistance is ending. Drawing on Gilles Dele...
BACKGROUND: Foster care supervisors require advanced reflective functioning (RF) to manage complex relational demands, yet traditional training is dif...
BACKGROUND AND PURPOSE: Artificial intelligence (AI) algorithms have been used to synthesize standard-dose images from low-dose images in brain MRI, b...
Vertebral compression fractures (VCFs) represent the most prevalent osteoporotic fracture and constitute a growing cause of morbidity, mortality, and ...