Longer-term effectiveness and safety of teduglutide in Canadian adults with short bowel syndrome using real-world evidence
Rationale: Teduglutide is indicated for the treatment of patients with short bowel syndrome (SBS) who are dependent on parenteral support (PS). This study evaluated longer-term teduglutide effectiveness and safety in Canadian patients diagnosed with SBS dependent on PS using Real-World Evidence. Methods: This was an observational, retrospective study, using data from the national Canadian Takeda […]
Effectiveness of intravenous Vedolizumab induction and dose escalation in ulcerative colitis and Crohn’s Disease; a Large-Scale, Canadian Real-World Cohort
Introduction: Vedolizumab (VDZ) is a gut-selective anti-lymphocyte traf- ficking drug indicated for the treatment of CD and UC [1] administered by intravenous (IV) infusion at Weeks 0, 2, and 6 followed by IV infusions every 8 weeks (Q8W) or subcutaneous injections every 2 weeks [2,3]. For IV treated patients who experience a suboptimal or loss […]
Artificial Intelligence for Identification of Radiation-Related Toxicities from the Electronic Health Records of Patients with Head and Neck Cancer
Abstract Purpose/Objective(s) Radiotherapy-related late toxicities (RLT) impact the quality of life of head and neck cancer (HNC) patients. Progression of RLT is often subtle and its recognition is dependent on multiple visits, recorded within unstructured electronic health records (EHR). This study details the process of tuning existing Artificial Intelligence (AI) platforms to identify RLT. Materials/Methods […]
Real-world outcomes of patients with hereditary angioedema with normal C1-inhibitor function and patients with idiopathic angioedema of unknown etiology in Canada
Abstract Background Hereditary angioedema with normal C1-inhibitor function (HAE nC1-INH) and idiopathic angioedema of unknown etiology (AE-UNK) are rare conditions that cause recurrent subcutaneous and submucosal swelling. The characteristics and clinical outcomes of patients with these conditions in Canada have not been studied. Methods The aim of this study was to extract real-world evidence from […]
Using AI to Discover Baseline Predictors of Anti-VEGF Treatment Intervals in nAMD From Real World Canadian Ophthalmology Electronic Health Record Data
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Fulfilling the promise of Large Language Models: Getting patients the care they need
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Oropharyngeal Cancer Staging Health Record Extraction Using Artificial Intelligence
Key Points Question Can artificial intelligence accurately stage oropharyngeal squamous cell carcinomas from medical records? Findings In this diagnostic study among 806 patients with oropharyngeal cancer, artificial intelligence had low accuracy for classification of tumor and nodal cancer stages. Binary outputs of metastatic stage and p16 status had the highest accuracy, and overall accuracy in distinguishing localized […]
Real-World Treatment Patterns and Clinical Outcomes Among Patients Receiving CDK4/6 Inhibitors for Metastatic Breast Cancer in a Canadian Setting Using AI-Extracted Data
Abstract Cyclin-dependent kinase 4/6 inhibitors (CDK4/6i) are widely used in patients with hormone receptor-positive (HR+)/human epidermal growth factor receptor 2 negative (HER2−) advanced/metastatic breast cancer (ABC/MBC) in first line (1L), but little is known about their real-world use and clinical outcomes long-term, in Canada. This study used Pentavere’s previously validated artificial intelligence (AI) to extract […]
Real-world outcomes of patients with advanced EGFR-mutated NSCLC in Canada using data extracted by large language model-based AI
Abstract Real-world evidence for patients with advanced EGFR-mutated non-small cell lung cancer (NSCLC) in Canada is limited. This study’s objective was to use previously validated DARWENTM artificial intelligence (AI) to extract data from electronic heath records of patients with non-squamous NSCLC at University Health Network (UHN) to describe EGFR mutation prevalence, treatment patterns, and outcomes. Of 2154 patients with […]
The Relationship Between Vedolizumab Drug Concentrations, Biomarkers of Inflammation and Clinical Outcomes in a Canadian Real-World Study
Abstract Background and Aims Therapeutic drug monitoring is used to optimize anti-tumour necrosis factor biologic effectiveness in inflammatory bowel disease, but its role with other biological classes is unclear. This study explores relationships between post-induction vedolizumab trough concentrations and biochemical outcomes in a real-world study of individuals with inflammatory bowel disease. Methods This retrospective analysis […]