Latest AI and machine learning research in refractive surgery for healthcare professionals.
Structured recording of key information such as diagnoses is essential for safe, efficient patient c...
Cardiac allograft rejection (CAR) remains the leading cause of early graft failure after heart trans...
Accurate prognostication of mobility outcomes is essential to guide rehabilitation and manage patien...
Hospital readmissions represent a persistent challenge for healthcare systems, often stemming from i...
Limited information linking dietary intake to gut metagenomic data in bariatric surgery patients is ...
Lung transplantation remains the only definitive treatment for patients with end-stage respiratory f...
Post-operative outcomes of cardiovascular surgery vary greatly among patients for a variety of reaso...
Falls among elderly residents in assisted living facilities (ALFs) are prevalent, costly, and freque...
Pathological high-frequency oscillations (HFOs 80-600 Hz) in intracranial EEG distinguish epileptoge...
Manual inpatient screening for substance misuse is labor-intensive and inconsistently applied. Evalu...
Health systems and payers require evidence that artificial intelligence (AI)-enabled decision suppor...
Response assessment of primary kidney tumors in the consolidation cytoreductive and neoadjuvant sett...
Timely linkage to HIV prevention and treatment services following HIV self-testing (HIVST) remains a...
UK ambulance services face record demand, resourcing challenges and rising clinical documentation bu...
Questionnaires that capture patient-reported symptomatology provide low-cost but potentially high-va...
Aspheric planning in laser refractive surgery remains difficult: surgeons often rely on empirical no...
PURPOSE: The primary objective of this study is to develop a predictive model utilizing fundamental ...
PURPOSE: This study aims to conduct a bibliometric analysis of global publications on the applicatio...
In post-disaster scenarios, effective rescue operations hinge on deploying robots equipped with soph...
OBJECTIVES: This study aims to (1) review machine learning (ML)-based models for early infection dia...
Background & Objectives Non-pharmacological interventions (NPI) were crucial in curbing the initial ...