ascopubs.org

Performance of Cancer Recurrence Algorithms After Coding Scheme Switch From International Classification of Diseases 9th Revision to International Classification of Diseases ...

Identifying Women at High Risk for Breast Cancer Using Data From the Electronic Health Record Compared With Self-Report Using publicly available translation tables along with clinician and other ...
ascopubs.org

Development of an Automatic Rule-Based Algorithm for the Detection of Ovarian Cancer Recurrence From Electronic Health Records

The automatic rule-based recurrence detection algorithm (Auto-Recur), using notes on image reading (positron emission tomography-computed tomography [PET-CT], CT, magnetic resonance imaging [MRI]), ...
Renal & Urology News

MRI-Based Algorithm More Predictive of Biochemical Recurrence After Prostate Cancer Surgery Than Existing Prognostic Tools

Approximately 20% to 30% of men with prostate cancer experience disease recurrence within 5 years of therapeutic intervention. 1 A key challenge in managing these patients is a scarcity of accurate ...
Gut

Shaping the future of postoperative recurrence in Crohn’s disease: personalised approaches with AI-enabled imaging and multi-omics

Postoperative recurrence (POR) is a major challenge in the long-term management of Crohn’s disease (CD), affecting up to 70% ...
The Conversation

Lung cancer: Predicting which patients are at high risk of recurrence to improve outcomes

Mark Sorin has received funding from the Fonds de recherche du Québec and Vanier Canada Graduate Scholarships. Logan Walsh has received funding from McGill University's Interdisciplinary Infection and ...