Healthcare AI Specialist Doctor in India: Dr. Ram Kumar G
Last updated:
India is building digital health at national scale, and AI tools are arriving in hospitals, screening programmes and startups. This guide explains the national framework, where AI is already used in Indian care, why local validation matters, and how organisations in any state can work online with a physician who specialises in healthcare AI.
Working together from any city in India
First message
Email ramakumar.md@gmail.com or write on LinkedIn, describing your team, what you want to achieve and roughly when.
Video call
A conversation to understand the clinical setting, the data available and the decision the AI is meant to support.
Written scope
Deliverables, timeline and how any patient data will be protected are written down and agreed before work begins.
Remote work
Evidence and document reviews, study design, clinical safety input or online workshops; in-person sessions can be arranged.
Report and follow-up
A written report with sources and clear recommendations, followed by a call to answer questions.
What a healthcare AI specialist doctor does in India
AI models learn from data, but whether a model helps a patient is a clinical question. A doctor working in healthcare AI asks what decision the tool supports, who carries responsibility when it errs, and whether its accuracy holds up in the clinics where it will actually be used.
Indian healthcare adds its own conditions. Patients speak many languages, disease patterns differ between regions, record keeping ranges from paper registers to fully digital hospitals, and care is split between public programmes and private providers. A model that works well in one metro hospital may behave differently in a district hospital, so these differences need to be part of every evaluation.
India's healthcare AI landscape: the national framework
Several national programmes and rules now shape how AI is built and used in Indian healthcare. Anyone planning an AI project should know where each one applies.
| Framework | What it means for AI projects |
|---|---|
| Ayushman Bharat Digital Mission (ABDM), national rollout 2021 | Consent-based digital health records linked to an ABHA health ID, run by the National Health Authority; the basis for interoperable data |
| IndiaAI Mission, approved March 2024 | A national programme with an outlay of about ₹10,372 crore over five years, covering compute capacity, datasets and AI innovation |
| NITI Aayog National Strategy for AI (#AIforAll), 2018 | Named healthcare as one of five priority sectors for AI in India |
| Medical Devices Rules, 2017 and CDSCO software guidance | Software with a medical purpose, including AI, is regulated as a medical device, classified by risk |
| ICMR ethical guidelines for AI in healthcare, 2023 | Principles such as validity, accountability and consent for AI research and clinical use |
| Digital Personal Data Protection Act, 2023 and Rules, 2025 | Rules on consent, purpose limitation and security for personal data; main obligations apply from May 2027 |
Where AI is already used in Indian healthcare
AI is no longer only a research topic in India. A few areas have moved into real programmes and clinics:
TB chest X-ray screening
WHO recommended computer-aided detection for TB screening in 2021, and India's TB programme uses an ICMR-validated AI tool for chest X-ray reading
Diabetic eye screening
Deep learning for diabetic retinopathy has been tested against specialist grading in Indian eye hospitals
Telemedicine and triage
National teleconsultation services and private apps increasingly use software to sort and route patients
Language tools
Speech and text models for Indian languages, for patient information and clinical documentation
Hospital operations
Forecasting bed demand, coding records and reducing paperwork
Chronic disease care
Risk prediction and glucose-monitoring analytics for diabetes and related conditions
Does your AI tool need CDSCO oversight?
One of the first questions for any team building or buying AI software in India is whether it counts as a medical device. The answer depends on what the software is meant to do, not on the technology inside it.
Is this AI software a medical device in India?
Describe exactly what the software is intended to do
Is it meant to diagnose, prevent, monitor or treat a condition?
If No
Likely wellness or administrative software; data protection rules still apply
If Yes
Is it standalone software, or part of a physical device?
If Standalone
Treat as software as a medical device: risk-classify it and plan clinical validation
If Part of a device
Usually follows the device's class; plan validation with the device maker
Why AI must be validated on Indian patients
Many AI models are trained on data from North America, Europe or East Asia. When they meet Indian patients, accuracy can shift because of differences in disease prevalence, body composition, imaging equipment, clinical workflows and the way records are written.
- Test the model on data that resembles the population and setting where it will be used
- Check performance separately for groups such as women and men, age bands and rural and urban sites
- Compare the tool against current practice, not only against a perfect reference
- Plan how errors will be noticed and reported after the tool goes live
- Re-check performance when equipment, software versions or patient mix change
Background and credentials
Dr. Ram Kumar G brings together clinical medicine, epidemiology and machine learning. His full qualifications and medical registration are on the About page.
| Strength | Basis |
|---|---|
| Clinical judgement | 10+ years in practice as a physician and diabetologist; currently Senior Consultant, Diabetes and Metabolic Health, Boston Diabetes Center, Gachibowli, Hyderabad |
| Population and public-health data | MPH, University of Nevada, Las Vegas; Program Analyst at the New Mexico State Department of Health, USA |
| Digital and remote care | 4 years as consultant physician in the Department of Telemedicine, Apollo Hospital |
| Machine learning in research | 4 years in clinical research and machine learning |
| Formal AI training | Stanford: AI in Healthcare; Evaluation of AI Applications in Healthcare; Fundamentals of Machine Learning in Healthcare |
| Teaching | Writes the free, source-cited Medical AI course on this website |
Who can get in touch, from any state
Requests are welcome from teams across India, including Delhi NCR, Mumbai, Bengaluru, Chennai, Hyderabad, Pune, Kolkata, Ahmedabad, Kochi, Lucknow, Jaipur, Chandigarh, Bhubaneswar, Visakhapatnam and smaller towns. Typical requests include:
- Hospitals, clinic chains and diagnostic networks: an independent look at an AI product's evidence before purchase, pilot planning, and governance for clinical AI
- Health-tech startups: clinical framing of the problem, safety review of features, validation study design, and awareness of CDSCO and data-protection requirements
- Researchers, universities and research institutes: collaboration on clinical machine learning and epidemiology, from protocol to analysis and publication
- Medical colleges, professional bodies, conferences and developer communities: online or in-person workshops, lectures and talks on clinical AI
Working together online
Most work across India happens remotely: video calls, shared documents, recorded or live online workshops, and written reports. In-person talks or site visits can be arranged when they add value. Conversations can be held in English, Hindi, Telugu.
Keep patient data out of email
- Please don't send patient names, record numbers, reports or images in an enquiry. If a project needs patient data, the safeguards and permissions are agreed in writing before anything is shared.
Learning resources and how to make contact
Teams that want to build their own understanding first can use the free Medical AI course on this site, which covers data standards, machine learning, imaging, language models, evaluation and regulation, with every claim sourced. Readers in Hyderabad will find local details in the companion article on clinical AI help in the city.
To discuss a project, email ramakumar.md@gmail.com or connect on LinkedIn. This contact is for healthcare AI work; patients looking for a medical appointment should contact the practice in Gachibowli, Hyderabad on 09618994555.
AI tools are not medical advice
- Unless a regulator has approved a tool for a specific medical use, AI output, including chatbot answers and course code, should not guide patient care on its own. Qualified clinicians remain responsible for decisions.
When to seek care
- Call emergency services for chest pain, sudden breathlessness, fainting, or signs of stroke, even if a health app suggests waiting
- See a doctor the same day for very high or low sugar readings, high fever with confusion, or severe abdominal pain
- Book an appointment if symptoms persist after an app or chatbot reassured you
- Talk to your doctor before acting on any medicine advice from an AI tool
FAQ
Can a hospital outside Hyderabad work with you?
Yes. Most work with organisations elsewhere in India is done online, through video calls, document reviews and online workshops, with in-person visits possible by arrangement.
What does ABDM mean for healthcare AI?
The Ayushman Bharat Digital Mission creates consent-based, interoperable digital health records linked to ABHA IDs. Over time this can make better data available for AI, but consent and data protection rules apply to any use.
Does AI software need CDSCO approval in India?
If it is intended to diagnose, prevent, monitor or treat a condition, it is regulated as a medical device under the Medical Devices Rules, 2017, and classified by risk. Wellness and administrative software generally is not, though data protection still applies.
What is the IndiaAI Mission?
A national programme approved by the Union Cabinet in March 2024, with an outlay of about ₹10,372 crore over five years, to build AI compute capacity, datasets and innovation in India.
Can you check whether an AI model works for Indian patients?
Yes. A review looks at what data the model was trained and tested on, how closely that matches your patients and setting, and what local validation and monitoring are needed.
Do you run clinical AI workshops for medical colleges in other states?
Yes. Workshops, lectures and talks can be held online for colleges, professional bodies and conferences anywhere in India, or in person by arrangement.
Which cities and states do you work with?
Any. Enquiries are welcome from all states and union territories, from metro cities such as Delhi, Mumbai, Bengaluru and Chennai to smaller towns.
How do I contact a healthcare AI specialist doctor in India?
Email Dr. Ram Kumar G at ramakumar.md@gmail.com or send a message on LinkedIn with a short description of your project and timeline.
Sources
- National Health Authority: Ayushman Bharat Digital Mission
- Rajya Sabha answer on the IndiaAI Mission (MeitY, December 2024)
- ICMR: Ethical guidelines for application of AI in biomedical research and healthcare (2023)
- ICMR AI4CXR: AI chest X-ray tool for TB screening
- Emergo by UL: India's CDSCO finalizes guidance on medical device software
- Gulshan V, et al. Deep learning for diabetic retinopathy in India. JAMA Ophthalmology 2019
Medical disclaimer: Content on this page is for general education and is not a substitute for individualized medical advice, diagnosis, or treatment. Outcomes vary between patients. Boston Diabetes Center is outpatient / day-care specialty centre with an on-site diagnostic lab and pharmacy — no inpatient beds; imaging and inpatient care are coordinated through partner facilities.