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Course Detail

Course Name AI in Emergency, Forensic and Molecular Medicine
Course Code 24AIM436
Program B.Tech. in Artificial Intelligence (AI) and Data Science (DS) in Medical Engineering
Semester VI
Credits 3
Campus Coimbatore

Syllabus

Unit 1

Introduction to emergency medicine and associated clinical issues; examples of applications of AI

Unit 2

Introduction to forensic medicine and toxicology; how AI helps solve issues

Unit 3

Introduction to molecular medicine and the roles AI plays in the emerging scenarios

Course Objectives and Outcomes

Course Objectives:

  • To make students appreciate basic ideas in emergency medicine and how AI could help physicians better serve the patients in acute clinical setups.
  • To introduce students to the various challenges in forensic medicine and provide an overview of how AI could aid solving the emerging challenges in this field.
  • To acquaint students with molecular medicine and how AI technologies are reinventing the landscape therein.

Course Outcomes:

After completing this course, students should be able to
CO1: Analyse the basic challenges in clinical emergencies and provide tangible computational and AI-based solutions.
CO2: Apply AI-based technologies to solve emerging divergent problems in forensic medicine.
CO3: Enable and demonstrate the application of AI in molecular medicine

CO-PO Mapping

PO/P

SO

 PO 1 PO2 PO3 PO4 PO5 PO 6 PO7 PO8 PO 9 PO 10 PO 11 PO 12 PSO 1 PSO2 PSO3
CO
CO1 3 3 2 – – 3 – – 2 – 2 2 3 3 3
CO2 3 3 2 – – 3 – – 2 – 2 2 3 3 3
CO3 3 3 2 – – 3 – – 2 – 2 2 3 3 3

References

  1. Chenais G, Lagarde E, Gil-Jardiné C. Artificial Intelligence in Emergency Medicine: Viewpoint of Current Applications and Foreseeable Opportunities and Challenges. J Med Internet Res. 2023 May 23;25:e40031. doi: 10.2196/40031.
  2. Vearrier L, Derse AR, Basford JB, Larkin GL, Moskop JC. Artificial Intelligence in Emergency Medicine: Benefits, Risks, and Recommendations. J Emerg Med. 2022 Apr;62(4):492-499. doi: 10.1016/j.jemermed.2022.01.001.
  3. Wankhade TD, Ingale SW, Mohite PM, Bankar NJ. Artificial Intelligence in Forensic Medicine and Toxicology: The Future of Forensic Medicine. Cureus. 2022 Aug 25;14(8):e28376. doi: 10.7759/cureus.28376.
  4. Tournois, L., Trousset, V., Hatsch, D. et al. Artificial intelligence in the practice of forensic medicine: a scoping review. Int J Legal Med 138, 1023–1037 (2024). https://doi.org/10.1007/s00414-023-03140-9
  5. Gomes B, Ashley EA. Artificial Intelligence in Molecular Medicine. N Engl J Med. 2023 Jun 29;388(26):2456-2465. doi: 10.1056/NEJMra2204787.

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