Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
BACKGROUND: Binary classification of sex fails to capture the sex-related continuum of atrial fibrillation (AF) risk. OBJECTIVE: This study aimed to develop an artificial intelligence (AI)-enabled electrocardiography (ECG) model for sex prediction and explore its association with AF risk. METHODS: An AI-ECG model for sex prediction was developed from the Severance Hospital training set and externa...
BACKGROUND: Worsening renal function (WRF) during acute decompensated heart failure (ADHF) therapy portends worse outcomes. We hypothesized that renal perfusion pressure (RPP), systemic mean arterial pressure minus central venous pressure (CVP), is associated with and may elucidate mechanisms of WRF. We theorized that machine learning-based RPP trajectories could impact outcomes. METHODS: Patients...
This paper studies the dependence of different pollutant degradation by dielectric barrier discharge plasma (DBD) technology on pH through experiments...
BACKGROUND AND OBJECTIVES: Despite the significant potential of Foundation Models (FMs) in medical imaging, their application to prognosis prediction ...
BACKGROUND: Artificial intelligence (AI) technologies hold great promise for improving patient outcomes, reducing clinician workload, and enhancing pa...
OBJECTIVE: Progress in the development of deep learning tools for dental imaging is constrained by limited access to real-world datasets due to privac...
Artificial intelligence (AI) is gradually altering urology by improving diagnostic precision, prognostic evaluation, and therapy decisions in a broad ...
OBJECTIVE: To develop and internally validate a machine-learning model for the early prediction of postoperative vasoplegia after cardiac surgery. DES...
Chronic kidney disease (CKD) is a growing global health burden characterized by progressive renal dysfunction, high comorbidity rates, and substantial...
Artificial intelligence (AI) powered mobile health (mHealth) apps are emerging as vital self-triage tools for skin cancer detection. By utilizing smar...
INTRODUCTION: Severe pneumonia is a leading infectious cause of mortality in children under 5 years globally. Early identification of high-risk cases ...
PURPOSE OF REVIEW: Skin and soft tissue infections (SSTIs) are one of the most frequent infections that need management either in outpatient setting o...
Transitions of care, such as intrahospital handoffs and hospital discharge, are high-risk periods for adverse events like medication errors and diagno...
UNLABELLED: Bowel injuries following blunt abdominal trauma (BAT) are evasive to detect clinically and with current imaging modalities. These injuries...
BACKGROUND: The use of technology to support nurses' decision-making is increasing in response to growing healthcare demands. AI, a global trend, hold...
Hereditary renal cell carcinoma (RCC) accounts for approximately 5-8% of all renal cancers. This review provides a comprehensive overview of the seven...
BACKGROUND: Patients with ischemic stroke complicated by consciousness disorders remain associated with high mortality risks. This study aims to devel...
PURPOSE: This study aims to investigate whether a diagnostic AI model can effectively support lesion detection and staging in non-small cell lung canc...
BACKGROUND: Geriatric assessments capture multidimensional data on physical, cognitive, psychological, and social health, offering opportunities to ap...
Osteoporotic vertebral compression fracture (OVCF) patients face high 30-day readmission risks after vertebral augmentation procedures (VAPs). Using e...