Track Detail
AI Research Accelerator
Speed up literature review, writing, and research execution.
Track Outcomes
Curriculum Blueprint
Structured sequencing from fundamentals to deployable outcomes.
Weeks 1-2
Hypothesis framing, protocol logic, inclusion/exclusion discipline, and confounder mapping.
Weeks 3-4
Literature synthesis and evidence extraction with reproducible AI workflows.
Weeks 5-6
Study design translation into data logic, baselines, and experiment planning.
Weeks 7-8
Manuscript structuring, reviewer response preparation, and publication readiness.
Path 2 Research Stack
Hypothesis to Conclusion Learning Loop
Learn research methodology first, then AI tools: promptable literature synthesis, RAG tutor guidance, and experiment workflows.
Deliverables
- Research question matrix with endpoint definitions
- Evidence map + citation-backed synthesis output
- Study design sheet with variable and bias controls
- Manuscript draft outline with reviewer risk notes
Assessment Gates
- Methodology checkpoint rubric
- Evidence quality checkpoint
- Final manuscript readiness review
Completion Criteria
- All research modules submitted
- Rubric score >= 70 for core checkpoints
- Final capstone accepted by mentor review
Included Courses
Using AI for Academic Research and Paper Writing
A practical writing and research workflow course for doctors who want faster literature review, stronger synthesis, and better manuscripts.
Structured curriculum
Generative AI For Healthcare Professionals
A broader implementation track for clinicians and healthcare teams who want to redesign real workflows with AI, not just understand the terminology.
6 lessons