AI Applications in Medicine and Healthcare Course

USD 106
USD 85

Duration
05:2:20 hours

Access Time
Lifetime

Language
Arabic

Resources
(7)

Skill Level
( Advanced )

Important Notice

The price shown covers tuition and training fees only, and does not include certificate fees or additional accreditations and services, which are optional based on the trainee's preference.

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USD 106
USD 85

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About the instructor

Dr. Noha Mohsen

Associate Professor of Pharmacology& Toxicology- Faculty of Pharmacy- Misr University for Science and Technology.

🎓 Academic Qualifications:

Ph.D. in Pharmacology and Toxicology – Cairo University
M.Sc. in Pharmacology and Toxicology – Helwan University
Bachelor of Pharmacy with Honors – Misr University for Science and Technology
Diploma in Nutrition – Tanta University
Diploma in Medical Education (in progress) – Cairo University

🏥 Professional Experience:

Over 10 years of academic experience as Assistant Professor, Lecturer, and Teaching Assistant at MUST
Instructor for Pharmacology, Toxicology, and Physiology courses
Active member in quality and accreditation committees and Head of Clinical Year Examination Committee

📚 Research and Scientific Activities:

Published several research papers in international journals in pharmacology, diabetes, environmental toxins, and cell studies
Participated in numerous national and international conferences and workshops

💼 Skills:

Strong communication and presentation skills
Experience in academic quality systems and implementation
Proficient in scientific research and data analysis

Objectives of AI Applications in Medicine and Healthcare Course

This program provides a comprehensive, practice-oriented introduction to artificial intelligence applications in medicine and healthcare, from foundational AI/ML/DL concepts to advanced clinical use cases. Participants will explore medical data types and processing, imaging, computer vision in radiology and cardiology, AI (ECG, Heart Flow, wearables), and genomics/pharmacogenomics-based precision medicine. The program also covers data quality, evaluation metrics, and ethical, legal, and regulatory frameworks (GDPR, HIPAA, AI explainability) needed for safe deployment of AI in real-world clinical settings. By the end of the course, learners will be able to critically evaluate AI tools, collaborate with technical teams, and design clinically relevant AI-enabled workflows in hospitals and research environments.

You Will Learn

You will learn the core concepts of AI, machine learning, deep learning, and how they are applied to real medical and healthcare problems (data, imaging, signals, and text). You will practice working with different types of medical data (EHRs, images, signals, genomics), understanding data quality, preprocessing, model evaluation, and common pitfalls. You will learn how AI is used in radiology, cardiology, precision medicine, and clinical decision support, including wearables and risk prediction tools. You will also understand ethical, legal, and regulatory principles (privacy, bias, explainability) and how to critically assess, select, and safely integrate AI solutions into clinical workflows.

Targeted Students

This program is designed for healthcare professionals and students who want to understand and apply AI in clinical and research settings. It targets physicians, pharmacists, nurses, and allied health professionals interested in digital health and data‑driven care. It is also suitable for medical, pharmacy, dentistry, and health sciences students seeking a structured introduction to AI in healthcare. Professionals from health informatics, biomedical engineering, and hospital administration with an interest in AI‑enabled transformation can also benefit.

Training Program Name As In Certificate

AI Applications in Medicine and Healthcare Course

Created at: 2026-03-29 14:27:00
Updated at: 2026-10-10 10:02:34

AI Applications in Medicine and Healthcare Course