Burnout among medical residents: key drivers and practical mitigating strategies.

Burnout is a prevalent phenomenon in medicine, affecting >50% of physicians and up to 60% of medical residents. This has negative consequences for both doctors' mental health and job satisfaction as well as patient care quality. While numerous studies have explored the causes, psychological effects, and workplace solutions, we aim to practicalize the issue from the perspectives of residents by discussing three key drivers of burnout and offering actionable, multipronged strategies that may be able to tackle these root causes effectively.

When I say … Socratic questioning.

In this article, Ng et al. define the core concepts of Socratic questioning and how it can be appropriately applied in clinical education.

Knowledge, perceptions and behaviours of endoscopists towards the use of artificial intelligence-aided colonoscopy.

Background: Recent developments in artificial intelligence (AI) systems have enabled advancements in endoscopy. Deep learning systems, using convolutional neural networks, have allowed for real-time AI-aided detection of polyps with higher sensitivity than the average endoscopist. However, not all endoscopists welcome the advent of AI systems.

Natural language processing in urology: Automated extraction of clinical information from histopathology reports of uro-oncology procedures.

Objectives: We aimed to automate routine extraction of clinically relevant unstructured information from uro-oncological histopathology reports by applying rule-based and machine learning (ML)/deep learning (DL) methods to develop an oncology focused natural language processing (NLP) algorithm.

Methods: Our algorithm employs a combination of a rule-based approach and support vector machines/neural networks (BioBert/Clinical BERT), and is optimised for accuracy. We randomly extracted 5772 uro-oncological histology reports from 2008 to 2018 from electronic health records (EHRs) and split the data into training and validation datasets in an 80:20 ratio.

The imitation game: a review of the use of artificial intelligence in colonoscopy, and endoscopists' perceptions thereof.

The development of deep learning systems in artificial intelligence (AI) has enabled advances in endoscopy, and AI-aided colonoscopy has recently been ushered into clinical practice as a clinical decision-support tool. This has enabled real-time AI-aided detection of polyps with a higher sensitivity than the average endoscopist, and evidence to support its use has been promising thus far. This review article provides a summary of currently published data relating to AI-aided colonoscopy, discusses current clinical applications, and introduces ongoing research directions.

Medium-Term Survival After Unrepaired Ruptured Abdominal Aortic Aneurysm.

Purpose: Ruptured abdominal aortic aneurysm (AAA) is almost always considered fatal without open surgical or endovascular repair. We report a case that has defied this norm and explore the possible factors involved in this exceedingly rare outcome.

Case Report: An 87 year old gentleman presented with an acute ruptured AAA with left retroperitoneal hematoma.

Impact of Knowledge and Attitudes on Lifestyle Practices in Preventing Type 2 Diabetes Mellitus.

Introduction: Diabetes mellitus is a major public health issue in Singapore. To shape healthcare policies for the primary prevention of diabetes, it is crucial to understand Singaporeans' knowledge, attitudes and practices related to diabetes and its prevention. This study aimed to assess the knowledge, attitudes and lifestyles of individuals without diabetes.