Search Results - "Fathy, Mobin"
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Explainable artificial intelligence (XAI) for predicting the need for intubation in methanol-poisoned patients: a study comparing deep and machine learning models
Published in Scientific reports (08-07-2024)“…The need for intubation in methanol-poisoned patients, if not predicted in time, can lead to irreparable complications and even death. Artificial intelligence…”
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Prediction of naloxone dose in opioids toxicity based on machine learning techniques (artificial intelligence)
Published in Daru (21-05-2024)“…Background Treatment management for opioid poisoning is critical and, at the same time, requires specialized knowledge and skills. This study was designed to…”
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Non-spinal low back pain: Global epidemiology, trends, and risk factors
Published in Health science reports (01-09-2023)“…Low back pain (LBP) is one of the most debilitating and prevalent disorders. The prevalence of LBP ranges from 30% to 80%, depending on the population, and…”
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Low volume polyethylene glycol combined with senna versus high volume polyethylene glycol, which regimen is better for bowel preparation for colonoscopy? A randomized, controlled, and single‐blinded trial
Published in Health science reports (01-09-2022)“…Background and Aims Bowel preparation affects the quality of colonoscopy. Reaching the optimal preparation has been a challenge for years. Polyethylene glycol…”
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Steroid-Induced Progressive Multifocal Leukoencephalopathy (PML) in HIV Patient: A Paradoxical Effect
Published in Archives of clinical infectious diseases (30-04-2024)“…Introduction: Progressive multifocal leukoencephalopathy (PML) is a rare, severe demyelinating disease of the central nervous system predominantly found in…”
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Enhancing the accuracy and effectiveness of diagnosis of spontaneous bacterial peritonitis in cirrhotic patients: A machine learning approach utilizing clinical and laboratory data
Published in Advances in medical sciences (01-03-2025)“…Spontaneous bacterial peritonitis (SBP) is a bacterial infection of ascitic fluid that develops naturally, without being triggered by any surgical conditions…”
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Prediction of acute methanol poisoning prognosis using machine learning techniques
Published in Toxicology (Amsterdam) (01-05-2024)“…Methanol poisoning is a global public health concern, especially prevalent in developing nations. This study focuses on predicting the severity of methanol…”
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