Publications by authors named "M I Mohammed"

Introduction: Early initiation of antenatal care visits creates an opportunity for early detection of high-risk pregnancies, pregnancy complications, health education, and counseling about successful care and nutrition of the mother and the fetus. Thus, the main objective of this study was to identify the factors associated with the early initiation of antenatal care visits in Ethiopia.

Methods: The study was conducted based on the children's data set of the 2019 Ethiopia mini-demographic and health survey.

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Background: This study aims to synthesise recent findings on the outcomes of common femoral endarterectomy (CFE) with profundoplasty, evaluating the efficacy, complications, and predictors of long-term success in patients undergoing this procedure.

Patients And Methods: This is a descriptive retrospective study assessing the outcomes of CFE with profundoplasty. All patients with chronic limb-threatening ischaemia (CLTI) who attended and underwent CFE with profundoplasty with or without iliac intervention at Glan Clwyd Hospital (Wales, United Kingdom) were studied.

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Objective: We sought to compare our results of patients treated with Cs-131 prostate brachytherapy (PB) as monotherapy to recently published results of patients treated with stereotactic body radiotherapy.

Methods: We analyzed data from patients treated at our institution with Cs-131 PB as monotherapy who had at least 5 years of follow-up and who prospectively completed expanded prostate cancer index composite questionnaires at baseline, 1 year, 2 years, and 5 years. We compared our data with the recently published data from radiation therapy oncology group (RTOG) 0938 and PACE-B (NCT01584258).

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Background: Emergency/trauma radiology artificial intelligence (AI) is maturing along all stages of technology readiness, with research and development (R&D) ranging from data curation and algorithm development to post-market monitoring and retraining.

Purpose: To develop an expert consensus document on best research practices and methodological priorities for emergency/trauma radiology AI.

Methods: A Delphi consensus exercise was conducted by the ASER AI/ML expert panel between 2022-2024.

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