In the face of confounders: Atrial fibrillation detection - Practitioners vs. ChatGPT.

Introduction: Atrial fibrillation (AF) is the most common arrhythmia in clinical practice, yet interpretation concerns among healthcare providers persist. Confounding factors contribute to false-positive and false-negative AF diagnoses, leading to potential omissions. Artificial intelligence advancements show promise in electrocardiogram (ECG) interpretation.

Ambulatory bariatric surgery: a prospective single-center experience.

Background: Ambulatory bariatric surgery has recently gained interest especially as a potential way to improve access for eligible patients with severe obesity. Building on our previously published research, this follow-up study delves deeper in the evolving landscape of ambulatory bariatric surgery over a 3-year period, focusing on predictors of success/failure.

Methods: In a prospective single-center follow-up study, we conducted a descriptive assessment of all eligible patients as per our established protocol, who underwent a planned same-day discharge (SDD) primary sleeve gastrectomy (SG) or Roux-en-Y gastric bypass (RYGB) between 03/01/2021 and 02/29/2024.

Validation of the Individualized Metabolic Surgery score in predicting long-term remission of diabetes after duodenal switch-type procedures.

Aim: To validate the Individualized Metabolic Surgery (IMS) score and assess long-term remission of type 2 diabetes (T2D) after duodenal switch (DS)-type procedures in patients with obesity. In addition, to help guide metabolic procedure selection for those patients categorized as having severe T2D.

Materials And Methods: This is a retrospective single cohort study of all patients with T2D and severe obesity, who underwent DS-type procedures at a single institution from December 2010 to December 2018.