Publications by authors named "M Alkhalaf"

Background: The World Health Organization recommends taxes on sugar-sweetened beverages (SSBs) as part of cost-effective interventions to prevent diet-related noncommunicable diseases.

Aim: To analyse the adoption and implementation of SSBs taxation in Saudi Arabia and United Arab Emirates and its impact on obesity rates.

Methods: Using a semi-structured questionnaire, we collected information on progress with implementation of SSBs taxes in Saudi Arabia and United Arab Emirates between January 2015 and December 2023.

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  • The study aimed to assess how sonography can help identify and characterize complications after liver transplants using gray scale and color Doppler imaging.
  • Conducted at Prince Sultan Military Medical City, the research involved analyzing the medical records of 122 liver transplant patients, mainly middle-aged males with hepatitis B and liver cancer as common reasons for surgery.
  • Results indicated that biliary and vascular complications were prevalent post-transplant, with portal vein thrombosis being particularly significant, while normal Doppler findings stabilized within a week after surgery, emphasizing the importance of ultrasound in monitoring graft health.
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  • - Malnutrition in aged care facilities (RACFs) can lead to serious health issues, and this study explores how generative AI can automatically summarize and extract important information from electronic health records (EHR) to address this problem.
  • - The research utilized the Llama 2 13B AI model with zero-shot prompting and tested it on data from 40 Australian RACFs, focusing on summarizing nutritional statuses and identifying malnutrition risk factors.
  • - Results showed the AI model achieved a high accuracy of 93.25% in summarization, which improved to 99.25% with the addition of retrieval augmented generation (RAG), while demonstrating a 90% accuracy in extracting risk factors, though RAG didn't enhance
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Malnutrition is a severe health problem that is prevalent in older people residing in residential aged care facilities. Recent advancements in machine learning have made it possible to extract key insight from electronic health records. To date, few researchers applied these techniques to classify nursing notes automatically.

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Aflatoxins (AFs) are hepatotoxic, mutagenic, genotoxic, and immunosuppressive toxins. Several food commodities consumed in the Kingdom of Saudi Arabia (KSA) are susceptible to AF contamination because of improper storage practices and the warm and humid climate of the country. Therefore, the occurrence of AFs in 2388 food samples was measured and the estimated daily intake (EDI) of AFs in Saudi adults was assessed.

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