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ToggleIntroduction to Top 20 Healthcare Startups in India revolutionizing the Healthcare Industry using Artificial Intelligence – Updated – 2024
Artificial Intelligence (AI) is often known for its unique ability to have machines perform tasks that are similar to the human mind – like problem-solving. However, what’s less understood is how Artificial Intelligence is being utilized in specific industries, like healthcare. These are the Top 20 start-ups in India:1| Nirmai Health Analytix

2| Lybrate

3| MeraMedicare

4| Artelus

5| DocTalk

6| OncoStem

7| Qure.ai

8| PharmEasy

9| Tricog

10| Sigtuple

- Analysis of peripheral blood smears.
- OCT scans and chest X-rays.
- Semen screening.
- Urine microscopy.
- Fundus screening.
11| Advancells

12| HealthKart

- Quality control during distribution.
- Tight control over the supply chain.
- 14 days hassle-free return policy.
13| LiveHealth

14| BloodSure

15| ChironX

16| DocPlexus

17| OnliDoc

18| Consure Medical

19| Predible Health

2o| Neurosynaptic Communication

Key Limitations of Artificial Intelligence in the Health-Care Industry:
- Explainability: Modern Machine Learning Algorithms gives decision based on the huge amount of pre-stored data and so it is difficult for a human to understand how the conclusion was reached. This makes it difficult to assess reliability, detect malicious attacks or is bias. ‘Black Box’ is the term given to Modern Machine learning Algorithms.
- Data Requirement: These Modern Machine learning Algorithms are trained on a huge amount of accurate and reliable data. Health-related data is mostly complex, heterogeneous or poorly coded which results in inaccurate or misrepresentative data leading to poor performing systems.
- Transferability: Algorithms are well optimized for the specific task they have been trained on but maybe confidently incorrect on data it has not seen before.