Background: Artificial Intelligence (AI) has the potential to revolutionize Pediatric Intensive Care Units (PICUs) by enhancing diagnostic accuracy, improving patient outcomes, and streamlining routine tasks. However, integrating AI into PICU environments poses significant ethical and data privacy challenges, necessitating effective governance and robust regulatory frameworks to ensure safe and ethical implementation. This study aimed to explore valuable insights into healthcare professionals' current perceptions and readiness to adopt AI in pediatric critical care, highlighting the opportunities and challenges ahead.
Methods: A cross-sectional study conducted an online survey among healthcare practitioners at King Abdulaziz University Hospital in Jeddah, Saudi Arabia. The survey included questions about professional roles, experience, and familiarity with AI, their opinions on AI's role, trust in AI-driven decisions, and ethical and privacy concerns. Statistical analyses were performed using IBM SPSS.
Results: Results found varying familiarity with AI among healthcare professionals, with many expressing limited knowledge of AI applications in PICU settings. Despite this, there was growing recognition of AI's current applications. Trust in AI-driven decisions for PICU management was mixed, with most expressing partial trust. Opinions on AI's role in enhancing diagnostic accuracy and improving patient outcomes varied. Ethical considerations, data privacy, and effective governance to address regulatory and ethical challenges were highlighted as critical concerns.
Conclusion: Healthcare practitioners in the PICU preferred using AI for routine patient monitoring but had concerns about its use in diagnoses and advanced healthcare. Concerns were held regarding data privacy, security breaches, and patient confidentiality.
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http://dx.doi.org/10.3389/fped.2025.1533877 | DOI Listing |
Front Pediatr
February 2025
Department of Pediatric, Pediatric Critical Care Unit, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.
Background: Artificial Intelligence (AI) has the potential to revolutionize Pediatric Intensive Care Units (PICUs) by enhancing diagnostic accuracy, improving patient outcomes, and streamlining routine tasks. However, integrating AI into PICU environments poses significant ethical and data privacy challenges, necessitating effective governance and robust regulatory frameworks to ensure safe and ethical implementation. This study aimed to explore valuable insights into healthcare professionals' current perceptions and readiness to adopt AI in pediatric critical care, highlighting the opportunities and challenges ahead.
View Article and Find Full Text PDFEur Heart J Imaging Methods Pract
January 2025
British Heart Foundation Data Science Centre, Health Data Research UK, Gibbs Building, 215 Euston Road, London NW12BE, UK.
Aims: Federated learning and the creation of synthetic data are emerging tools, which may enhance the use of imaging data in cardiovascular research. This study sought to understand the perspectives of cardiovascular imaging researchers on the potential benefits and challenges associated with these technologies.
Methods And Results: The British Heart Foundation Data Science Centre conducted a series of online surveys and a virtual workshop to gather insights from stakeholders involved in cardiovascular imaging research about federated learning and synthetic data generation.
Indian J Otolaryngol Head Neck Surg
February 2025
Department of Otolaryngology, Faculty of Medicine, Izmir Democracy University, Izmir, Turkey.
The intricacies of Endoscopic Type 1 tympanoplasty necessitate a bespoke surgical methodology, particularly in graft selection, to efficaciously address individual variances in tympanic membrane (TM) perforations. This manuscript delineates our investigative insights into the nuanced process of graft technique determination before endoscopic tympanoplasty, underscoring the pivotal role of personalized surgical strategies in optimizing patient outcomes. This study encompassed a cohort of thirty patients stratified into three groups based on a constellation of criteria: external ear canal dimensions, dermal characteristics, TM perforation location, and magnitude, alongside assessments of comorbidities and historical chronic otitis instances.
View Article and Find Full Text PDFCureus
February 2025
Department of Biochemistry, Government Medical College Narsampet, Sarwapuram, IND.
Background: Diabetes mellitus (DM) increases the risk of left ventricular dysfunction (LVD), which can progress to heart failure if undetected. Echocardiography, a non-invasive and cost-effective imaging tool, provides real-time assessment of left ventricular (LV) function and enables early detection of myocardial dysfunction using advanced techniques such as tissue Doppler imaging and strain analysis. Diabetic patients are particularly prone to LVD due to chronic hyperglycemia, insulin resistance, and systemic inflammation, leading to myocardial fibrosis, microvascular dysfunction, and oxidative stress.
View Article and Find Full Text PDFBMC Endocr Disord
March 2025
Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, Iran.
Background: Heterotaxy syndrome is a rare congenital condition characterized by abnormal arrangement of thoracoabdominal organs, often associated with complex cardiac and splenic anomalies. Pheochromocytoma is a rare neuroendocrine tumor that overproduces catecholamines, leading to various complications. The co-occurrence of heterotaxy syndrome and pheochromocytoma has not been previously reported.
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