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Development of a Preliminary Patient Safety Classification System for Generative AI.
BMJ Qual Saf
January 2025
National Center for Human Factors in Healthcare, MedStar Health Research Institute, Washington, District of Columbia, USA.
Generative artificial intelligence (AI) technologies have the potential to revolutionise healthcare delivery but require classification and monitoring of patient safety risks. To address this need, we developed and evaluated a preliminary classification system for categorising generative AI patient safety errors. Our classification system is organised around two AI system stages (input and output) with specific error types by stage.
View Article and Find Full Text PDFApplying AI to Structured Real-World Data for Pharmacovigilance Purposes: Scoping Review.
J Med Internet Res
December 2024
Laboratoire d'Informatique Médicale et d'Ingénierie des Connaissances en e-Santé - LIMICS, Inserm, Université Sorbonne Paris-Nord, Sorbonne Université, Paris, France.
Background: Artificial intelligence (AI) applied to real-world data (RWD; eg, electronic health care records) has been identified as a potentially promising technical paradigm for the pharmacovigilance field. There are several instances of AI approaches applied to RWD; however, most studies focus on unstructured RWD (conducting natural language processing on various data sources, eg, clinical notes, social media, and blogs). Hence, it is essential to investigate how AI is currently applied to structured RWD in pharmacovigilance and how new approaches could enrich the existing methodology.
View Article and Find Full Text PDFPerspectives surrounding robotic total hip arthroplasty: a cross-sectional analysis using natural language processing.
Can J Surg
January 2025
From the Faculty of Medicine, Université de Montréal, Montréal, Que. (Levett); the Department of Neurology and Neurosurgery, McGill University, Montréal, Que. (Elkaim); the Department of Orthopaedic Surgery, McGill University, Jewish General Hospital, Montréal, Que. (Zukor, Huk, Antoniou)
Background: Robotic technology has been used in total hip arthroplasty (THA) for several years. Despite the advances in this field, perspectives surrounding robotic THA are not fully understood. This study aimed to characterize the landscape of robotic THA on social media.
View Article and Find Full Text PDFQuality of Life in Patients With Acquired Anophthalmia Using an Ocular Prosthesis.
Ophthalmic Plast Reconstr Surg
January 2025
Department of Ophthalmology, Tufts University School of Medicine, Boston, Massachusetts, U.S.A.
Purpose: To employ a validated survey for evaluation of quality of life (QoL) outcomes and associated factors in a US cohort of adult patients with acquired anophthalmia wearing a prosthesis.
Methods: A retrospective cohort study was performed at a single, US academic institution of patients cared for between 2012 and 2021. The electronic medical record database was queried for adult patients with a history of evisceration or enucleation surgery and placement of an orbital implant.
Fast exact gap-affine partial order alignment with POASTA.
Bioinformatics
January 2025
Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, United States.
Motivation: Partial order alignment is a widely used method for computing multiple sequence alignments, with applications in genome assembly and pangenomics, among many others. Current algorithms to compute the optimal, gap-affine partial order alignment do not scale well to larger graphs and sequences. While heuristic approaches exist, they do not guarantee optimal alignment and sacrifice alignment accuracy.
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