Real-world effectiveness and causal mediation study of BNT162b2 on long COVID risks in children and adolescents.

Background: The impact of pre-infection vaccination on the risk of long COVID remains unclear in the pediatric population. We aim to assess the effectiveness of BNT162b2 on long COVID risks with various strains of the SARS-CoV-2 virus in children and adolescents, using comparative effectiveness methods. We further explore if such pre-infection vaccination can mitigate the risk of long COVID beyond its established protective benefits against SARS-CoV-2 infection using causal mediation analysis.

Hepatitis B and C virus infection among couples undergoing premarital screening in Iraqi Kurdistan.

Background And Objectives: Hepatitis B virus (HBV) and hepatitis C virus (HCV) are significant global health challenges, leading to severe complications such as liver cirrhosis and hepatocellular carcinoma. Despite available vaccines and treatments, these infections persist, particularly, in regions such as Iraq. This study aimed to assess the prevalence of HBV and HCV among couples attending premarital screening programs in Zakho, Kurdistan Region of Iraq and explore the associated demographic risk factors.

Large Language Models in the Diagnosis of Hand and Peripheral Nerve Injuries: An Evaluation of ChatGPT and the Isabel Differential Diagnosis Generator.

Purpose: Tools using artificial intelligence may help reduce missed or delayed diagnoses and improve patient care in hand surgery. This study aimed to compare and evaluate the performance of two natural language processing programs, Isabel and ChatGPT-4, in diagnosing hand and peripheral nerve injuries from a set of clinical vignettes.

Methods: Cases from a virtual library of hand surgery case reports with no history of trauma or previous surgery were included in this study.

Challenges in accessing health care services for women and girls with disabilities using a humanitarian physical rehabilitation program in Lebanon: a mixed method study.

Background: Achieving equitable healthcare access for persons with disabilities is vital, as they often face various barriers that impact their health and well-being. Recognizing the importance of gender equity, this study aims to explore the specific barriers faced by women and girls with disabilities in accessing quality healthcare services in Lebanon.

Methods: A mixed-method sequential explanatory approach was employed.

Lightweight and Low-Parametric Network for Hardware Inference of Obstructive Sleep Apnea.

: Obstructive sleep apnea is a sleep disorder that is linked to many health complications and can even be lethal in its severe form. Overnight polysomnography is the gold standard for diagnosing apnea, which is expensive, time-consuming, and requires manual analysis by a sleep expert. Artificial intelligence (AI)-embedded wearable device as a portable and less intrusive monitoring system is a highly desired alternative to polysomnography.