This section focuses on recent global studies and discoveries in the various fields of healthcare.
Electroencephalography EEG research systematically excludes participants with textured hair limiting generalizability While inclusive hardware offers a solution it remains unvalidated in dynamic settings This study bridges this ecological gap by determining if equitable data quality is achievable across racial groups during a complex Mobile
Machine learning ML systems for medical imaging have demonstrated remarkable diagnostic capabilities However their susceptibility to learning spurious correlations with sensitive attributes poses significant risks to fairness and safety In this paper we introduce a novel statistical framework to evaluate the dependency of medical imaging
Keratinocyte cancers KCs are the most prevalent cancers in whiteskinned individuals yet remain underrepresented in cancer registries because reporting requirements differ greatly across jurisdictions Manual extraction of KC subtypes from medical reports is laborintensive and timeconsuming particularly as reports often document multiple
Diabetes obesity and dyslipidemia are significant contributors to cardiovascular diseases necessitating effective strategies to manage blood glucose blood pressure and lipid levels through lifestyle interventions and pharmacotherapy This study aims to assess the glycemic control and metabolic health outcomes achieved
To evaluate machine learningbased models for predicting allcause mortality in pediatric ICU patients using comprehensive biochemical panels with a focus on addressing missing data and class imbalance
Cardiovascular diseases cause nearly onethird of global deaths yet standalone National Cardiovascular Disease Control Plans remain uncommon and inconsistently structured We assessed the comprehensiveness
Duchenne muscular dystrophy DMD is characterized by progressive decline in skeletal muscle function leading to loss of ambulation and premature cardiopulmonary failure The ability to monitor declines in skeletal
Cardiovascular diseases cause nearly onethird of global deaths yet standalone National Cardiovascular Disease Control Plans remain uncommon and inconsistently structured We assessed the comprehensiveness
Artificial intelligence AI is increasingly used to enhance diagnostic accuracy automate image interpretation and support clinical
Degenerative spine conditions and physical inactivity are major public health concerns Engaging in physical activity before spine surgery may improve postoperative outcomes experienced by patients
