Evaluating the Performance of ChatGPT 3.5 and 4.0 on StatPearls Oculoplastic Surgery Text- and Image-Based Exam Questions.

Introduction: The emergence of large language models (LLMs) has led to significant interest in their potential use as medical assistive tools. Prior investigations have analyzed the overall comparative performance of LLM versions within different ophthalmology subspecialties. However, limited investigations have characterized LLM performance on image-based questions, a recent advance in LLM capabilities.

Slowly getting there: a review of country experience on estimating emissions and removals from forest degradation.

Estimating emissions and removals from forest degradation is important, yet challenging, for many countries. This paper reports results from analysis of country reporting (to the United Nations Framework Convention on Climate Change and also to several climate finance initiatives) and key take-aways from a south-south exchange workshop among 17 countries with forest mitigation programmes. During the workshop discussions it became clear that, where forest degradation is a major source of emissions, governments want to include it when reporting on their mitigation efforts.

Exploring the Relationship Between Radiation-Induced Moya Moya Syndrome and Radiation Dose for Pediatric Patients Treated with Proton Radiation Therapy: Moya Moya in Peds Patients After Proton RT.

Purpose: The incidence and risk factors associated with radiation-induced Moya-Moya Syndrome (RIMMS) in pediatric brain tumor patients treated with proton radiotherapy (PRT) remain poorly understood. The objective of this study was to determine the incidence of RIMMS in the setting of CNS proton radiotherapy (PRT) in a pediatric cohort and assess its relationship with dose to the Circle of Willis (COW) or optic chiasm (OC).

Methods & Materials: We performed a retrospective review of pediatric brain tumor patient treated with intracranial PRT (1995-2021).

Transient anti-interferon autoantibodies in the airways are associated with recovery from COVID-19.

Preexisting anti-interferon-α (anti-IFN-α) autoantibodies in blood are associated with susceptibility to life-threatening COVID-19. However, it is unclear whether anti-IFN-α autoantibodies in the airways, the initial site of infection, can also determine disease outcomes. In this study, we developed a multiparameter technology, FlowBEAT, to quantify and profile the isotypes of anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and anti-IFN-α antibodies in longitudinal samples collected over 20 months from the airways and blood of 129 donors spanning mild to severe COVID-19.