A specialist pilot for doctors and clinicians — save time on documentation, draft letters and patient-friendly explanations while keeping clinical judgement and privacy in charge.
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Live virtual sessions with self-paced modules and Q&A
No technical background needed
Built around what clinicians told us they actually need
Finally know what AI is (and isn't), how LLMs work, and why it matters now — explained for clinicians
Start using ChatGPT, Gemini and Claude for referral letters, summaries and patient explanations
Cut the documentation burden with ambient scribing, dictation-to-notes and discharge summaries
Critically evaluate any AI tool and understand consent, bias and the law (DPDP Act, NMC guidance)
10 modules — Modules 1–4 build confidence, 5–8 engage real clinical judgement, and 9 makes it personal to your specialty
Demystifying the buzzword: what AI is and isn't, how it differs from a Google search, and what it's actually good at — pattern recognition, prediction and generation.
ChatGPT, Gemini and Claude — which to use when, prompting basics, and real use cases: referral letters, summarising papers, explaining diagnoses and pressure-testing a differential.
What Generative AI and LLMs really are, the prominent frontier models, and a hands-on demo of LLMs in action.
Tools you may already use: eSanjeevani, radiology and ECG AI, drug interaction checkers, Practo/DocsApp, and the Ayushman Bharat / ABDM stack.
Tackling the documentation burden: ambient AI scribing, dictation to structured notes, discharge summaries — what's available in India now vs. what's coming.
A second opinion, not a replacement: clinical decision support, stress-testing a diagnosis, chronic disease and oncology — and avoiding the "AI said so" trap.
Critical evaluation: reading AI claims, what "FDA cleared" / "CE marked" mean, the Indian patient data problem, hallucinations, and a 5-question adoption checklist.
Who's responsible when AI is wrong, patient consent, data privacy under the DPDP Act 2023, bias, and where NMC regulation is heading.
Pick your track: General Practice, Radiology & Pathology, Cardiology, Oncology, Mental Health or Telemedicine.
Stay current without the hype, evaluate new tools, advocate for responsible AI in your hospital, and leave with a 30-day action plan.
Use AI for documentation, literature review and everyday clinical work
Cardiology, oncology, radiology and more — contextualised to your practice
Understand the technology and teach AI-aware, responsible practice
"No idea where to start"? This is built exactly for you — zero jargon
Shaped directly by what surveyed clinicians told us they need
The most-requested outcome: AI tools you can start using straight away in clinic.
Addresses the top concern — Western-trained AI may not suit Indian patients — plus local data, law and infrastructure.
Patient safety, data privacy and "who's responsible?" — the concerns clinicians raised most.
Self-paced modules plus live Q&A — the format most respondents preferred for their schedules.
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AI Lead & Educator | London
Madhusudhan helps professionals across industries understand and apply AI in practical, responsible ways — without the hype or heavy jargon.
With 20+ years of software engineering experience, he makes complex AI concepts accessible and immediately useful for busy clinicians.