Technology & Data

AI in Medical Research

10 Days (30 Hours)
In-person / Online
Dr. Mahmoud Moawad

Course Overview

Practical course teaching medical researchers to apply AI to their work. Learn to identify research problems where deep learning excels at extracting structure from unstructured data.

Who Should Attend?

Medical researchers, clinical researchers, healthcare professionals, and biomedical scientists.

Learning Objectives

  • Understand AI applications in medical research
  • Learn to identify research problems suitable for AI
  • Master data handling for medical datasets
  • Apply deep learning to medical imaging and unstructured data
  • Understand ethical and regulatory considerations

Curriculum & Syllabus

  • Overview of AI applications in healthcare and medical research
  • Historical and current trends
  • Identifying research questions that benefit from AI
  • Role of AI in drug discovery, genomics, and clinical trials

  • Types of medical data (imaging, EHR, genomic, text)
  • Data privacy (HIPAA, GDPR) and de-identification
  • Data annotation and labeling
  • Ethical considerations (consent, transparency, fairness)
  • Data storage and security

  • Image preprocessing and augmentation
  • Convolutional neural networks (CNNs) for classification and segmentation
  • Interpretability (saliency maps, Grad-CAM)
  • Transfer learning in medical imaging
  • Case studies (radiology, pathology, dermatology)

  • Natural language processing (NLP) for clinical texts
  • Extracting information from electronic health records
  • Handling time-series data (ECG, vital signs)
  • Multimodal data fusion
  • Generative models for synthetic data

  • Regulatory pathways for AI medical devices (FDA, CE)
  • Validation and clinical trials
  • Bias, fairness, and transparency
  • Patient safety and risk management
  • Implementation and integration into clinical workflows
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Track Technology & Data
Instructor Dr. Mahmoud Moawad
Start Date TBD
Duration 10 Days (30 Hours)
Delivery Mode In-person / Online
Certification AI in Medical Research Certificate of Completion