Startups Advancing Healthcare with AI 2022

AI applications are most important in the field of healthcare. Many of today’s most innovative healthcare solutions have an AI component. Healthcare with AI was instrumental in accelerating the recovery from the COVID-19 pandemic, which lasted nearly two years. Healthcare with AI was used in multiple areas of the healthcare industry, including early detection of COVID-19 and assistance to patients as well as drug repurposing.

  • Healthcare startups are using AI-driven technology to enable them to provide targeted healthcare services that will save millions of people’s lives.
  • Medical Science is revolutionizing the healthcare industry with new technologies such as Artificial Intelligence (AI), Machine Learning, Robotics and IoT.
  • The Ai-driven technology can provide unprecedented insight into the healthcare industry’s diagnostics, treatment methods and patient outcomes.
  • AI innovations in healthcare have been phenomenal. The Global Healthcare AI Market accounted for $0.95 Billion in 2022  and is projected to reach $19.25 Billion by 2027.

How is AI applied in healthcare?


Healthcare with AI practitioners may enhance several facets of patient care and administrative procedures through the use of artificial intelligence, which enables them to solve issues more quickly.

Machine learning is the foundation of artificial intelligence (AI) in healthcare. With the ability to forecast which treatments will be effective based on a patient’s genetic makeup and the treatment framework, many healthcare organizations are progressing. The most widespread use of conventional machine learning is in precision medicine.

Furthermore, artificial intelligence has spent more than 50 years researching human language. The majority of NLP systems feature text analysis, translation, and speech recognition. Examples of how artificial intelligence is utilized in healthcare documentation include NLP programs, which interpret and categorize clinical documentation.

Unstructured clinical notes on patients can be analyzed using NLP systems, which offer amazing insight into evaluating quality, enhancing procedures, and improving patient outcomes.

Additionally, with apps like Babylon, AI is being utilized to offer medical consultations based on a patient’s medical history and general medical expertise. The software analyses users’ symptoms with a database of ailments using speech recognition. After reviewing the user’s medical background, Babylon makes a recommendation.

 The different startup, to monitor a patient’s condition and follow up on treatments in between medical appointments. It focuses on chronic illnesses and aids patients through machine learning.

The Boston Children’s Hospital created a healthcare app for Amazon Alexa that gives parents important health information and recommendations. The app provides answers to frequently asked concerns and lets you choose if you should consult a doctor about your symptoms. In the Netherlands, 97% of medical bills are thought to be digital. A Dutch business uses AI to reveal treatment mistakes and ineffective workflows, assisting healthcare organizations in reducing avoidable hospitalizations.

These are just a handful of the many solutions that AI is offering to the healthcare sector. More automation and digital workforce skills will make it possible for providers to develop solutions that save time and money, and improve accuracy.

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Brisk Logic assembled a list of companies that are bringing AI to healthcare.



Providers can use an AI-based suite for their health management. Multidisciplinary teams have access to advanced research tools, high-performance computing power and technical expertise. The two companies are currently working together to create a contact lens that has an embedded glucose sensor. Onduo , One Fifteen and Verily Value Suite are all solutions for managing chronic health. There are devices such as sensor-based watches, Miniaturized CGM glucose monitors, and many more.


Freenome provides deep learning platforms for the detection of cancer-related markers. It is currently developing a platform to detect circulating cancer-related markers in blood samples from patients. Deep learning is used by the company to detect all cell-free DNA and immune cell fragments in blood samples. It allows doctors to identify the type of tumour and create treatment strategies. According to the company, their test is better than standard-of-care for four types of cancers: breast, prostate, colorectal and lung.


Provider of an AI-based platform to support administrative solutions. AI-based platforms allow organizations to conduct eligibility checks, unadjudicated claim matching, code matching, data migrations, and other administrative tasks to minimize administrative errors. It also provides solutions for customers to improve efficiency, reduce risk, increase staff productivity, manage costs, and invest.


XtalPi developed a proprietary technology, FACES (Fast Accurate Crystalline Engineering System), that uses cloud computing to predict crystal structures and identify polymorphs. The algorithms of the company are integrated with Amazon Web Service (AWS), high-performance computing (HPC), and resources in the cloud. This team boasts a strong background in machine learning and quantum physics. It offers services to pharmaceutical companies in various stages of drug discovery. It has used its technology to create an Intelligent Digital Drug Development and Development (ID4) platform that will improve drug discovery efficiency, accuracy, success rate, and profitability.


It is a platform for employee wellness management and tracking. It’s a platform that measures and improves employees’ happiness. It uses technology (behavioural sciences and machine learning) to allow users to track and measure employee experiences and take the appropriate actions. It applies to many industries, including construction, defence, wind and upstream oil and gas.


Insitro is developing an AI-enabled platform for the treatment and prevention of infectious diseases. Insitro is working on tools to develop and discover drugs for infectious diseases such as HIV, hepatitis C and other, cancer and genetic diseases (Cystic Fibrosis).


AI-based digital full-body motion analysis and training system. The platform offers strength training exercises using the digital weight machine. The 17 sensors in the AI system analyze and provide feedback to users. Every workout is guided and supervised by experts and coaches. The company launched a digital home strength training system. The system includes a personal trainer, as well as different weightlifting machines that use AI technology.


An AI-enabled platform for drug development and research. This platform uses machine learning technology to predict and identify the likelihood of drug discovery success or failure for patients. The platform allows you to combine data from different sources and create your analysis of the institution’s drug development process. The platform can identify molecules and predict the likelihood of drug development success.


Tempo offers AI-based home gym training platforms. It’s a home gym that uses 3D sensors to help trainers manage their users’ fitness training. It monitors form, movements, weight, and other important information. Tempo’s advanced AI and 3D motion capture system allow coaches to offer more customized and effective workout solutions. Tempo Vision uses 30 pulses of infrared lighting to capture motion and create a 3D model.


Providers and employees can access cloud-based and AI-based telehealth services. It is used by healthcare centres to manage the health of their patients. It provides a platform for collecting, analyzing, and providing insights into patients’ health. It includes AI-based patient engagement and decision support tools. It offers multiple solutions, including remote patient monitoring and virtual care networks. Others include CRM, referral management and surgery optimization.

Caption Health

Caption Health, a leader in medical artificial intelligence (AI), enables early disease detection through increased access to ultrasounds.

Caption Health was awarded a California Life Sciences’ Pantheon Award on September 13 for being the best product of the year. Caption Health and Butterfly Network have an exclusive partnership to predict disease earlier with AI-Based diagnostics.

Caption Health receives New Technology Add-on Payments (NTAP) authorization from the Centers for Medicare & Medicaid Services (CMS). This is for an AI-based ultrasound platform.


HelloSelf is an AI-based platform for health and wellness that provides digital access to therapists. HelloSelf, an AI startup based in London, has raised the funds of PS5.5 Million with the support of OMERS Ventures. AI-powered healthcare startup combines world-class technology with expert therapists to improve mental well-being for millions.

HelloSelf was created with Amazon web services, integrated registration and user management using Cognito.


Corti is an AI platform that uses voice to detect and analyze critical illnesses in real-time. It also assists healthcare professionals to make faster and more accurate decisions during a consultation.

Corti joined Voice Products as an audio partner! Corti receives the 2022 Future Unicorn Award, which recognizes her efforts in revolutionizing healthcare. Venture Beat also named Corti the winner of the best global AI innovation. raised $27 million to support patient consultations through Artificial Intelligence and Machine Learning.


Geetha Mathur and Nidhi Matur founded Bengaluru’s Niramai Health Analytix in 2016. Thermolytic, a health tech startup that employs AI and a high-resolution thermal sensing device to detect breast cancer earlier than traditional methods or self-examination, has been developed by Geetha Manjunath and Nidhi Mathur. This software-based medical device makes cancer screening easy in any clinic. It is portable, affordable, and automated. The core technology is based upon ML algorithms.

In 2022, Pooja Rao and Prashant Warier founded in Mumbai. They use AI to make healthcare affordable and more accessible. Deep learning algorithms are used to quickly interpret radiology images and scans – chest Xrays, head CT scans and POQUS, chest CT scanners, etc – in just a few seconds. It offers community solutions for COVID-19 and public health, as well as tuberculosis.


HealthifyMe, a digital platform for wellness and health in Bengaluru was founded in 2012. The company was founded by Sachin Shenoy, Tushar Vashisht and Mathew Cherian to provide digital healthcare for Indians. Ria is an AI-based virtual assistant that communicates with users and answers their questions about fitness, nutrition, health, and other topics in 10 languages. The app also offers dietary suggestions, tracks calorie intake, and gives healthy recipes and tips.


PharmEasy, a Mumbai-based company, was established in 2015 by Dharmil Shah, MikhilInnani and Dhaval Shaikh to create an app that connects users with pharmacies. This smartphone-based app connects users to these pharmacies for seamless medical delivery.

PharmEasy makes use of ML and Big Data tools such as Tensorflow and Hadoop, HBase and Kafka, Spark and Spark. It also uses lots of data crunching for its app. It has partnered with more than 80,000 pharmacies in 1200-plus locations across the country to serve more than 5 million customers.

SigTuple Technologies

SigTuple Technologies, a Bengaluru-based company, was founded by Apurv Anand, Rohit Pandey and Tathagoto Rai Dastidar in 2015. SigTuple’s mission is to automate manual medical data review using AI. This includes blood samples, urine, and semen microscopy. It offers an AI platform and an automated digital microscope for solutions in the areas of pathology and Opthalmology. Tathagata was appointed CEO after two of the co-founders resigned.

OncoStem Diagnostics

OncoStem Diagnostics, a 2011 company, integrates ML algorithms to evaluate aggressiveness and predict the risk of recurrence over five years. CanAssist, its flagship product, uses data-support vector machine-based statistical models that assign risk scores to patients based on five biomarkers as well as clinicopathological information. This team uses Support Vector Machines that use Radial Basis Function kernels and linear basis functions, Random Forest, Elastic net, and normal mixture modelling.


Artelus, a Bengaluru-based startup, was founded in 2015 by Pradeep Walia and Raja rajeshwari K. Deep learning technology is used to screen diabetic retinopathy patients. AI-powered algorithms analyze the images to diagnose.

Artelus has been operational in 502 locations (in India and the US) and has helped to screen more than 81,000 patients. A new AI-powered contactless system for diabetic retinopathy screening has been developed by the health tech startup Artelus. It can perform an eye exam in under three minutes.


Tricog, a Bengaluru-based company for healthcare analytics, was founded by Chirac Bhhograj, Zainul Charbiwala and Udayan Dasgupta in 2014. It offers the following products:

Instant ECG is the flagship product. It connects to the cloud and allows you to interpret and analyze ECG reports in just 10 minutes.

InstaEcho is another cardiac product that aids doctors in diagnosing echocardiograms quickly and accurately within hours.

Tricon’s services have been provided in over 12 countries. It has empowered 2,600 health workers and saved 90,000 lives. In 2018, it was awarded the NASSCOM Artificial Intelligence Game Changer Award.

What are the advantages of healthcare with AI ?

The healthcare with AI have Particularly in the health industry, artificial intelligence is constantly evolving and reviving. By automating numerous tasks and managing patients and resources, AI has increased efficiency in the healthcare industry. Among the advantages are:


• Early recognition

To identify their current and historical health difficulties, patients’ data is examined using AI-driven techniques. By comparing the illness specifics, the healthcare with AI provider can make a precise diagnosis.

It also enables one to anticipate any health issues that could develop in the future.

• Cost savings and faster processing

AI has altered the game from patient assessment to diagnosis in terms of speed and cost. Artificial intelligence algorithms have made healthcare with AI processes quicker and less expensive than they formerly were. Disease-indicating biomarkers are present in our bodies. These indicators can be recognized by AI. We have reduced the amount of manual work required to define these biomarkers by employing AI algorithms.

• An effective and distinctive surgical support service

The development of artificial intelligence has greatly accelerated robotic applications. Even the smallest movements in surgery can be performed by machine learning. Complex operations can be performed more quickly, with fewer adverse effects, blood losses, and pain issues. Surgery recovery is quicker and simpler.

• Improving mental health and human capabilities

Medical staff now uses robots to assist patients. Robotic exoskeletons, for instance, can assist persons who are paralyzed in regaining their mobility without the assistance of carers. In a similar vein, AI-powered smart prostheses with sensors give a more responsive response than a conventional prosthesis.

using services for machine learning Robots can perform daily tasks and entertain patients. Dedicated companion and conversational robots perform a range of exams and inspections, such as monitoring blood pressure, temperature, and medicine intake.

Expand Healthcare with AI Operations with Brisk Logic:


 Healthcare with AI is a multitrillion-dollar worldwide sector with millions of healthcare facilities competing to expand their operations. By collecting complete healthcare industry knowledge, you can improve your reach and interaction with AI healthcare businesses. Brisk Logic healthcare intelligence connects you to millions of health specialists and clinicians.

With the deployment of disruptive technologies, the landscape of the Healthcare with AI sector has changed dramatically.

How will healthcare with AI impact  in the future?

The healthcare with AI is already changing patient care, clinical practice, and pharmaceutical operations across the healthcare sector. The trip has only just begun for us.

Artificial intelligence will be applied to a variety of jobs in the field of health care, including phone answering, reading radiology pictures, evaluating population health, inventing therapeutic medications and equipment, diagnosing patients, and talking with them.

According to the World Economic Forum, medical systems will be able to predict patients’ risks of specific diseases and suggest preventive measures. These developments will result in shorter wait times for patients and increased efficiency in hospitals. Artificial intelligence (AI) will access multiple sources of data to reveal patterns in diseases and aid treatment. As a result, healthcare delivery systems can offer truly proactive, predictive care.


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