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Medical Dicom
Data CollectionDuring my clinical training at Kafrelsheikh University Hospital, I've regularly used models like ChatGPT and Gemini to cross-reference clinical guidelines, look up complex medical data, and summarize case notes. This hands-on experience gave me a really solid understanding of prompt engineering, LLM evaluation, and how to spot model hallucinations. I know how to double-check AI responses against trusted medical literature to make sure the outputs are safe and accurate. What sets me apart is that I can combine my current medical studies with real data experience. As a 4th-year medical student, I have strong daily experience in clinical anatomy and radiology, which are exactly the fields medical AI models need help with right now. Plus, my past work as a research assistant means I’m already used to strict data collection and quality control. Since I speak both Arabic and English fluently, I can easily evaluate and train models in both languages.
DocumentData CollectionTask-based data extraction and text categorization project focused on evaluating the prevalence and risk factors of Gastroesophageal Reflux Disease among undergraduate medical students. Reviewed documentation, extracted specific clinical metrics, and categorized survey and clinical dataset elements to prepare high-integrity data for statistical analysis and protocol compliance.
Bachelor of Medicine, Medicine
Medical Trainee
