Assessing the performance of AI chatbots in answering patients' common questions about low back pain.

Objectives: The aim of this study was to assess the accuracy and readability of the answers generated by large language model (LLM)-chatbots to common patient questions about low back pain (LBP).

Methods: This cross-sectional study analysed responses to 30 LBP-related questions, covering self-management, risk factors and treatment. The questions were developed by experienced clinicians and researchers and were piloted with a group of consumer representatives with lived experience of LBP.

The Wildcat That Lives in Me: A Review on Free-Roaming Cats () in Brazil, Focusing on Research Priorities, Management, and Their Impacts on Cat Welfare.

Domestic cats () currently occupy the 38th place in the Global Invasive Species Database. Free-roaming cats potentially have broad-ranging impacts on wildlife, occupying most terrestrial environments globally as house pets, strays, or feral animals. In Australia, for example, cats are responsible for the decline in many vertebrate populations and extinction of several native mammals.

COVID-19 on patients with immune-mediated rheumatic disease: a comparative study of disease activity, fatigue, and psychological distress over six months.

Objectives: To compare the impact of COVID-19 on the clinical status and psychological distress of patients with immune-mediated rheumatic disease (IMRD) caused by SARS-CoV-2 infection with that of noninfected IMRD controls during a 6-month follow-up period.

Methods: The ReumaCoV Brazil is a longitudinal study designed to follow IMRD patients for 6 months after COVID-19 (patients) compared with IMRD patients without COVID-19 (controls). Clinical data, disease activity measurements and current treatments regarding IMRD and COVID-19 outcomes were evaluated in all patients.

Ocular Biometry OCR: a machine learning algorithm leveraging optical character recognition to extract intra ocular lens biometry measurements.

Given close relationships between ocular structure and ophthalmic disease, ocular biometry measurements (including axial length, lens thickness, anterior chamber depth, and keratometry values) may be leveraged as features in the prediction of eye diseases. However, ocular biometry measurements are often stored as PDFs rather than as structured data in electronic health records. Thus, time-consuming and laborious manual data entry is required for using biometry data as a disease predictor.

Development of a patient decision aid for people with chronic low back pain and degenerative disc disease considering lumbar fusion: A mixed-methods study.

Objectives: To develop and user-test a patient decision aid providing evidence-based information for people with chronic low back pain (LBP) and degenerative disc disease considering lumbar fusion.

Design: Convergent parallel mixed methods study.

Setting: A prototype patient decision aid was developed, guided by the International Patient Decision Aid Standards (IPDAS) criteria, a multidisciplinary steering committee, and insights from previous studies.