AI for Medicine Specalization

Sepcalization Link

AI has tremendous potentials in the field of medicine. This specialization by deeplearning.ai divided into 3 courses focuses on the application of AI in medical diagnosis, medical prognosis, and medical treatment.

Course 1: AI in Medical Diagnois Course Link

Objectives:

• Week 1: Disease Detection with Computer Vision

  • Lab: Data Exploration and Cancer Diagnosis Link
  • Lab: Counting Labels and Weight loss Function Link
  • Lab: Densent Link
  • Lab: Patient Overlap and Data Leakage Link

  • Assigment: Chest X-Ray Medical Diagnosis with Deep Learning Link

• Week 2: Evaluating Models

• Week 3: Image Segmentataion on MRI Images

Course 2: AI in Medical Prognosis Course Link

Objectives:

• Understand what is prognosis and routine clinical practice of risk evaluation.

• Build models such as random foresta / decision trees to model non-linear relationship in clinical data.

• Build Survival model to predict time to an event ( i.e diease reoccurance after treatment).

• Using methods such as Cox proportional hazard model and survival tree to evalue the survival model.

• Week 1:

• Week 2:

• Week 3:

• Week 4:

Course 3 AI in Medical Treatment

Objectives:

• Week 1:

• Week 2:

• Week 3: