Quality, Accuracy, and Bias in ChatGPT-Based Summarization of Medical Abstracts.

Purpose: Worldwide clinical knowledge is expanding rapidly, but physicians have sparse time to review scientific literature. Large language models (eg, Chat Generative Pretrained Transformer [ChatGPT]), might help summarize and prioritize research articles to review. However, large language models sometimes "hallucinate" incorrect information.

Machine Learning Prediction of Urine Cultures in Primary Care.

Context: Antibiotics for suspected urinary tract infection (UTI) is appropriate only when an infection is present. Urine culture is definitive but takes >1 day to result. A machine learning urine culture predictor was recently devised for Emergency Department (ED) patients but requires use of urine microscopy ("NeedMicro" predictor), which is not routinely available in primary care (PC).

Adaptation and External Validation of Pathogenic Urine Culture Prediction in Primary Care Using Machine Learning.

Background: Urinary tract infection (UTI) symptoms are common in primary care, but antibiotics are appropriate only when an infection is present. Urine culture is the reference standard test for infection, but results take >1 day. A machine learning predictor of urine cultures showed high accuracy for an emergency department (ED) population but required urine microscopy features that are not routinely available in primary care (the NeedMicro classifier).

Birth Outcomes Related to Distance in Rural and Frontier Kansas.

Introduction: Women from rural communities must travel greater distances to secure obstetrical care. This study sought the extent to which distance traveled by mothers for obstetrical services affects birth outcomes in rural and frontier counties of Kansas.

Methods: Medical students invited women over the age of 18 to participate in a recall survey regarding their children under three years old.

Deliberations about a perfect storm - The meaning of justice for food energy water-nexus (FEW-Nexus).

The current global developments have the potential to cause a 'perfect storm' at the core of the Anthropocene: the Food-Energy-Water-Nexus. To discuss the ethical consequences of these developments, i.e.