Top 11 AI and ML startups in Healthcare Industry

June 29, 2022

Healthcare is a global industry with trillions of dollars in tow. In recent times, the healthcare business is amplifying through artificial intelligence (AI) and machine learning (ML). Due to the advent of AI and ML in the healthcare industry, the landscape has witnessed a radical transformation. There is a whole range of startups that are leading this transformation. Read on to know more...

11 AI and ML Startups in Healthcare Industry

Given below are the top 11 AI and ML startups in the healthcare industry

1.      Niramai (Niramai Health Analytix)

Niramai Health Analytix was founded in 2016 in Bengaluru, Karnataka. Niramai has developed an AI-based system called Thermalytix. Notably, Thermalytix uses artificial  intelligence along with a high-resolution thermal sensor that detects early-stage breast cancer. The core of the technology of Thermalytix is based on algorithms of machine learning. The AI-based medico-software device is affordable, portable and automated. It makes cancer screening feasible at a clinical level. 

2.      Qure.ai

Qure.ai was founded in 2016 in Mumbai. The company uses artificial intelligence to make affordable and accessible solutions for healthcare. Qure.ai platform uses algorithms in deep learning for interpreting the images provided by radiology and scans of the chest and head, and POQUS in a short time. Qure.ai also has solutions for controlling epidemic or pandemic outbreaks like COVID-19 and tuberculosis.

3.      HealthifyMe

HealthifyMe was founded in 2012 in Bengaluru, Karnataka. The company was founded with an objective to open up Indians to digital healthcare. HealthifyMe uses an AI-based VA-BOT (virtual assistant bot), Ria, which attends to user queries regarding health, nutrition and fitness. The bot can speak and text in 10 different Indian languages. Ria also provides dietary tips and tracks calorie intake using artificial intelligence.

4.      PharmEasy

PharmEasy was founded in 2015 in Mumbai, Maharashtra. The company has developed an application that connects users with the pharmacies near their respective residential areas. This app is smartphone-based and it connects subscribers and pharmacies on one platform where they also get their medical supplies delivered right to their homes.

PharmEasy uses many machine learning and big data tools, including libraries like Tensorflow and Kafka or Hadoop and Hive. There are more than 80,000 medical pharmacies all across 1200-plus cities in India registered with PharmEasy.

5.      SigTuple Technologies

SigTuple Technologies was founded in 2015 in Bengaluru. SigTuple has automated the manual analysis and review of all types of medical data using artificial intelligence. SigTuple mainly operates in pathology and ophthalmology. It also offers automated medical solutions like the digital microscope and an AI platform for handling all this medical data.

6.      OncoStem Diagnostics

OncoStem was founded in 2011 in Bengaluru, Karnataka. OncoStem Diagnostics integrates machine learning algorithms for analysing tumours’ aggressiveness and identifies the probability of recurrence over a period of five years. It also has a flagship product CanAssist, which uses the data of the support vector statistical models to assign risk scores to cancer. 

7.      Artelus

Artelus was founded in 2015 in Bengaluru, Karnataka. The healthcare tech start-up used deep learning for screening diabetic retinopathy. Artelus has 502 operation locations in India, Dubai and the U.S. Till now Artelus has screened 81,000-plus patients. The healthcare start-up has also developed an AI-powered contactless diabetic retinopathy screening system.  

8.      Tricog

Tricog was founded in Bengaluru, Karnataka in 2014. Its flagship products are InstaECG, a cloud-connected device for ECG analysis and InstaEcho, a cardiac product for quick and accurate ECHO diagnosis. Tricog has made its presence felt in 12-plus countries, assisting over 2,600 medical professionals, helping three crore patients and saving more than  90,000 lives. Tricog was also awarded the NASSCOM AI Game Changer Award in 2018. 

9.      Consure Medical

Consure Medical was founded in 2012 in New Delhi. Consure Medical is known for developing a technologically innovative platform for managing, diagnosing and treating various gastrointestinal disorders. It has multiple AI-enabled healthcare facilities that have simplified the otherwise complicated medical procedure. It comes as no surprise that Consure Medical is one of the topmost Indian healthcare AI companies. Consure provides solutions to hidden clinical needs. It has helped to improve clinical results, reduced healthcare costs and increased the coverage of services.

10.  CrelioHealth/LiveHealth

CrelioHealth, formerly LiveHealth, was founded in 2013 in Pune, Maharashtra. LiveHealth is a group of young techies who have made one of the best AI systems in healthcare diagnostics. The AI tool helps in managing your medical records in one place and digitalises your medical records as well. The company’s vision is to analyse all the medical data related to you at the healthcare ecosystem’s centre. It aims to connect healthcare providers and customers in one online environment.

11.  Lybrate

Lybrate was founded in 2014 in New Delhi, India. It is the first medical online platform for digital consultation from doctors. Lybrate offers an online app through which patients and doctors can connect for online consultation and also book laboratory tests.

The Final Word-

The infusion of technology has brought new and some radical changes to the healthcare sector over the years. Moreover, this journey will continue at a faster pace as more and more companies are entering this space. In a nutshell, the future of this industry looks promising. 

Reference Links:

https://analyticsindiamag.com/ 

https://ampliz.com/ 

https://tracxn.com/

https://medicalstartups.org/

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     2. Enhancing business interactions 

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  1. Recruiting new employees 

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In conclusion, the benefits of cloud computing may be obtained through a high-level approach. A smooth collaboration between the CEO, CIO, and CTO may transform a digital transformation journey into a profitable avenue for the company.

CEOs must consider long-term cloud computing strategy and ensure that the organization is provided with the funding and resources for cloud adoption. The right communication is critical in cloud migration: employees should get these communications from C-suite executives in order to build confidence and guarantee adherence to governance requirements. Simply installing the cloud will not provide value for a company. Higher-level executives (particularly the CEO) must take the lead in the digital transformation path.

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