Assessing ChatGPT's Reliability as an Educational Resource for Information on Breast Reduction Surgery.

Introduction: With advances in AI and machine learning, platforms like OpenAI's ChatGPT are emerging as educational resources. While these platforms offer easy access and user-friendliness due to their personalized conversational responses, concerns about the accuracy and reliability of their information persist. As one of the most common surgical procedures performed by plastic surgeons worldwide, breast reduction surgery (BRS) offers relief for the physical and emotional burdens of large breasts.

Improved enzyme functional annotation prediction using contrastive learning with structural inference.

Recent years have witnessed the remarkable progress of deep learning within the realm of scientific disciplines, yielding a wealth of promising outcomes. A prominent challenge within this domain has been the task of predicting enzyme function, a complex problem that has seen the development of numerous computational methods, particularly those rooted in deep learning techniques. However, the majority of these methods have primarily focused on either amino acid sequence data or protein structure data, neglecting the potential synergy of combining both modalities.

A national Australian Congenital Heart Disease registry; methods and initial results.

Background: Although several National Data Registries for Congenital Heart Disease (CHD) exist, few are comprehensive and contemporary. A National Australian CHD Registry has been developed that aims to redress this by creating the first comprehensive data collection for CHD children and adults, initially across Australia.

Methods: We defined and collected a minimum dataset of demographics, diagnoses, and procedures from people with CHD presenting at participating quaternary CHD services Australia-wide.

Patient-Clinician Communication Interventions Across Multiple Primary Care Sites: A Cluster Randomized Clinical Trial.

Importance: Despite various attempts to improve patient-clinician communication, there has been limited head-to-head comparison of these efforts.

Objective: To assess whether clinician coaching (mobile application or in-person) is more effective than reminder posters in examination rooms and whether mobile app use is noninferior to in-person coaching.

Design, Setting, And Participants: A cluster randomized clinical trial with 3 arms.