Machine learning applications in craniosynostosis diagnosis and treatment prediction: a systematic review.

Craniosynostosis refers to the premature fusion of one or more of the fibrous cranial sutures connecting the bones of the skull. Machine learning (ML) is an emerging technology and its application to craniosynostosis detection and management is underexplored. This systematic review aims to evaluate the application of ML techniques in the diagnosis, severity assessment, and predictive modeling of craniosynostosis.

Chat-GPT on brain tumors: An examination of Artificial Intelligence/Machine Learning's ability to provide diagnoses and treatment plans for example neuro-oncology cases.

Objective: Assess the capabilities of ChatGPT-3.5 and 4 to provide accurate diagnoses, treatment options, and treatment plans for brain tumors in example neuro-oncology cases.

Methods: ChatGPT-3.

Trends in engagement with cognitive-behavioral therapy for chronic pain conditions after referral.

Cognitive-behavioral therapy for chronic pain (CBT-CP) is an important evidence-based non-pharmacologic treatment for chronic back and neck pain that is frequently recommended as a component of multidisciplinary treatment. However, the success of CBP-CP's implementation in clinical settings is affected by a variety of poorly understood obstacles to patient engagement with CBT-CP. Expanding upon the limited prior research conducted in heterogeneous practice settings, this study examines patterns of treatment initiation for CBT-CP at an interdisciplinary, hospital-based chronic pain practice and conducts exploratory comparisons between groups of patients who did and did not engage in CBT-CP after receiving a referral.

Emergency Absentee Voting for Hospitalized Patients and Voting During COVID-19: A 50-State Study.

Introduction: Voters facing illness or disability are disproportionately under-represented in terms of voter turnout. Earlier research has indicated that enfranchisement of these populations may reinforce the implementation of policies improving health outcomes and equity. Due to the confluence of the coronavirus 2019 (COVID-19) pandemic and the 2020 election, we aimed to assess emergency absentee voting processes, which allow voters hospitalized after regular absentee deadlines to still obtain an absentee ballot, and election changes due to COVID-19 in all 50 states.