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Bias in machine learning applications to address non-communicable diseases at a population-level: a scoping review.
BMC Public Health
December 2024
Upstream Lab, MAP Centre for Urban Health Solutions, Li Ka Shing Knowledge Institute, Unity Health Toronto, 30 Bond Street, Toronto, ON, M5B 1W8, Canada.
Background: Machine learning (ML) is increasingly used in population and public health to support epidemiological studies, surveillance, and evaluation. Our objective was to conduct a scoping review to identify studies that use ML in population health, with a focus on its use in non-communicable diseases (NCDs). We also examine potential algorithmic biases in model design, training, and implementation, as well as efforts to mitigate these biases.
View Article and Find Full Text PDFChanging the culture: increasing captured intraoperative anaesthesia-related safety events through targeted interventions.
BMJ Open Qual
December 2024
Anesthesiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Background: There is an under-reporting of anaesthesia-related safety events. Incident-capturing systems (ICSs) are essential for patient safety monitoring, identifying risks and ongoing opportunities for improvement. After a literature review and assessment of our current ICSs, we concluded that our institution lacked a reliable anaesthesia-specific ICS system, leading to under-reporting of anaesthesia-related safety events.
View Article and Find Full Text PDFThe Impact of the COVID-19 Public Health Crisis on the Surgical Management of Abdominal Aortic Aneurysm Rupture.
Ann Vasc Surg
December 2024
Section of Vascular Surgery, Department of Surgery, Michigan Medicine, Ann Arbor, MI; Jobst Vascular Institute, Toledo, OH.
Objectives: The COVID-19 epidemic introduced significant systems- and disease-based uncertainty into Abdominal Aortic Aneurysm (AAA) rupture management. The goal of this work was to evaluate whether short-term AAA rupture outcomes during COVID-19 were comparable to pre-COVID era outcomes and to explore the impact of COVID status and COVID era healthcare systems restrictions on AAA rupture outcomes.
Methods: The Vascular Quality Initiative (VQI) database was queried for all ruptured AAAs that underwent intervention from January 1, 2019 to August 31, 2022.
Predicting lack of clinical improvement following varicose vein ablation using machine learning.
J Vasc Surg Venous Lymphat Disord
December 2024
Department of Surgery, University of Toronto, Canada; Division of Vascular Surgery, St. Michael's Hospital, Unity Health Toronto, Canada; Institute of Medical Science, University of Toronto, Canada; Temerty Centre for Artificial Intelligence Research and Education in Medicine (T-CAIREM), University of Toronto, Canada; Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Canada; Department of Surgery, King Faisal Specialist Hospital and Research Center, Saudi Arabia. Electronic address:
Objective: Varicose vein ablation is generally indicated in patients with active/healed venous ulcers. However, patient selection for intervention in individuals without venous ulcers is less clear. Tools that predict lack of clinical improvement (LCI) following vein ablation may help guide clinical decision-making but remain limited.
View Article and Find Full Text PDFPathological complete response after chemotherapy in initially unresectable distal cholangiocarcinoma.
Clin J Gastroenterol
December 2024
Department of Diagnostic Pathology, National Hospital Organization Shizuoka Medical Center, 762-1 Nagasawa, Shimizu, Sunto District, Shizuoka, 411-0904, Japan.
Surgical resection is the only curative treatment for cholangiocarcinoma, but it is often diagnosed at advanced stages, making surgical resection infeasible. Recently, the concept of conversion surgery has expanded the indications for surgical treatment, thanks to advancements in both perioperative management and chemotherapy. However, it remains unclear which patients benefit most from this treatment strategy.
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