Explore the exciting intersection of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) with healthcare. This session offers a concise overview of AI/ML/DL, their applications in medicine, and the unique aspects of healthcare data. We'll touch upon key algorithms, major milestones, ethical considerations, and future possibilities, including a case study on machine learning in breast cancer diagnosis. Discover the potential of AI to transform healthcare!

Laman Mammadova studied Computer Science at the French-Azerbaijani University, and her professional career began in cybersecurity. As an information security engineer, she have worked both locally at R.I.S.K. company and abroad at Santander in Austria.Laman is currently working for Business Analyst @AZPUL.

1. Introduction to Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL)

2. Applications of AI, ML, and DL in Healthcare

3. Understanding the Unique Nature of Healthcare Data

4. Core Algorithms Used in Medical AI

5. Timeline of Breakthroughs and Challenges in AI for Medicine

6. Ethical Considerations in Healthcare AI

7. Future Frontiers of AI in Healthcare

8. Case Study: Breast Cancer Diagnosis Using Machine Learning

📅 Date: 31 May 2025

⏰ Time: 11:00

📍 Venue: LTC Lab (AGA Center) Xocalı Prospekti 55

📝 Registration: Register now/RSVP

🤝Partners: IDDA LTC Lab Coffein Novabit