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Background: Postoperative headache is a medical condition that has a strong association with future recurrence and chronic headache, higher morbidity and mortality, extended hospital stays, poor quality of life and high financial burden. Despite, having these consequences, there are limited studies in the study area.

Objective: This study aimed to assess the incidence and associated factors of postoperative headache among adult elective surgical patients at the University of Gondar Comprehensive Specialized Hospital Northwest Ethiopia, April 9 to 20 June 2022.

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Objectives: This study aimed to determine the prevalence and genotyping of human papillomavirus (HPV) and to assess co-infection with Epstein-Barr virus (EBV) in oral cavity and oropharyngeal cancers (OC and OPC) specimens from patients at a tertiary care hospital in Northeastern Mexico.

Methods: Formalin-fixed and paraffin-embedded tumor specimens from 41 patients with OC and OPC were evaluated. HPV detection and genotyping were performed using the Ampliquality HPV-Type Express kit.

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Youth living with HIV (YLWH) face psychosocial challenges and HIV-related stigma, which impact adherence to antiretroviral therapy (ART). This study was designed to understand better the change in mental health symptoms and experiences with stigma among YLWH in Tanzania who completed the original pilot Sauti ya Vijana (SYV), a mental health and life skills group intervention. YLWH who completed SYV and demonstrated a change of ≥2 points in either direction on their Patient Health Questionnaire PHQ-9 (depression screener) from baseline to 18 months were purposively sampled.

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Purpose: This retrospective single-center study aimed to determine the correlation between The Paris System (TPS) urine cytology classification, cystoscopy findings, and non-muscle-invasive bladder cancer diagnosis. In addition, we sought to identify factors that might explain the abnormal cytology classification in cases in which no malignancy was detected.

Methods: A Total of 855 patients evaluated with urine cytology between 2017 and 2020 at Kuopio University Hospital were included.

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Chatbot-based multimodal AI holds promise for collecting medical histories and diagnosing ophthalmic diseases using textual and imaging data. This study developed and evaluated the ChatGPT-powered Intelligent Ophthalmic Multimodal Interactive Diagnostic System (IOMIDS) to enable patient self-diagnosis and self-triage. IOMIDS included a text model and three multimodal models (text + slit-lamp, text + smartphone, text + slit-lamp + smartphone).

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