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Course Detail

Course Name Emerging Areas in Medical Engineering
Course Code 24AIM433
Program B.Tech. in Artificial Intelligence (AI) and Data Science (Medical Engineering)
Semester VI
Credits 3
Campus Coimbatore

Syllabus

Unit 1

Emerging Technologies in Healthcare Regenerative Medicine, Robotics, DNA Data Storage, Industry 4.0, Blockchain, CRISPR, AR/ VR, 5G, Gaming

Unit 2

Cognitive Neuroscience, Neuropsychology, Experimental Psychology, Neurology, Computational Modelling, Cognitive Deficits Associated with Clinical Condition, Understanding of Neural Bases of Cognition and Behaviour.

Unit 3

Machine Learning Applications in Healthcare Introduction, Data preparation, Feature engineering: transformation, extraction and selection, Machine learning modes to classify healthcare data: logistic regression, neural network, support vector machine, Medical Imaging diagnosis, medical diagnosis, and identification.

Unit 4

Technological Developments in prosthetics & Surgical Devices Chip-enabled prosthetics, prosthetic & orthotics on demand, Robot-assisted surgery, image-guided Deformity Correction and Stabilization, software for 3D solid and mesh based nurbs modelling.

Course Objective and Outcomes

Course Objectives:

  • To learn about the recent areas of Research in Biomedical Engineering.
  • To learn about the modern approaches of surgery and prosthetic devices.

Course Outcomes:

After completing this course, students should be able to
CO1: Analyze and evaluate the transformative impact of emerging technologies on healthcare practices and biomedical engineering.
CO2: Demonstrate a comprehensive understanding of the neural foundations of cognition and behavior through the integration of cognitive neuroscience and computational modeling.
CO3: Demonstrate practical skills in applying machine learning techniques to healthcare scenarios, including medical imaging and diagnostic processes.
CO4: Assess, adopt, and contribute to the advancement of prosthetic and surgical technologies within the field of biomedical engineering.

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 1 3 3 2 2 2 3 3 3
CO2 1 1 2 3 3 3 2 2 2 3 3 3
CO3 3 3 1 3 3 2 2 2 3 3 3
CO4 3 3 2 2 2 2 3 3 3

References

  1. https://www.ibm.com/in-en/watson-health
  2. https://health.google/health-research/
  3. https://www.ibm.com/in-en/watson-health
  4. Machine Learning with Health Care Perspective: Machine Learning and Healthcare, 2020. Germany: Springer International Publishing.
  5. Rus, D., Nordlinger, B., Villani, C., Healthcare and Artificial Intelligence. Germany: Springer International Publishing, 2020.
  6. Journal of Prosthetics and Orthotics International 9. Herzenberg, J., Paley, D. 2014.
  7. Principles of Deformity Correction. Germany: Springer Berlin Heidelberg.
  8. Mohammad, N., Handbook of Robotic and Image-Guided Surgery. Netherlands: Elsevier Science, 2019.

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