How AI-powered software can be used for health purposes? | 3019

Artificial Intelligence (AI) and Machine Learning (ML) are now being leveraged almost everywhere — from sales and marketing to security and finance.

  1. Powerful examples of AI and ML-powered software applications in the healthcare industry
  2. Wrap-up

However, it’s in the healthcare sector where AI and ML may actually save lives by assisting medical professionals. The most recent technology developments assist and benefit the following fields:

medical preliminary diagnosis,

individualized care,

and the creation of drugs.

The prices of therapies, which can be prohibitively expensive when utilizing conventional techniques and provide a barrier that is insurmountable for the majority of people, are another area where AI and ML solutions offer a light of hope. By facilitating quicker, more cost-effective, and efficient healthcare procedures, technology helps to lower these expenses.

Examples of effective software powered by AI and ML in the healthcare sector

1. Arctoris

Ulysses, a drug discovery platform by Arctoris, integrates robotics, data science, and sophisticated machine learning algorithms to help decision-makers make better informed choices. Novel programs may be introduced to real patients and the clinic more quickly in this fashion.

To make the procedure as effective as possible, they collaborate with businesses in the biotech and pharmaceutical sectors as well as academic institutions from all over the world.

2. BenevolentAI

The business created the Benevolent PlatformTM, a cutting-edge computational R&D platform with a specialization in medication development. They bring together the most recent scientific advances with cutting-edge artificial intelligence and machine learning to enable specialists to comprehend the complexity of biology and investigate interrelated illness networks.

A thorough knowledge network at the platform’s— heart, which incorporates both structured and unstructured data, provides researchers with a wealth of high-quality hypotheses and insights.

3. deepli

Deepli holds that access to data and the functionality that businesses want shouldn’t be prohibitively expensive. This is crucial for small businesses, who account for 95% of the market. Based on deep learning techniques, they provide four primary products:

Deepli Science is a platform created to help scientists advance their work. Deepli Science links specialists from various businesses or laboratories, advises articles that are worthwhile reading, and creates intelligence charts for data visualization.

Deepli University — a focused search for laboratories on a certain subject. Shortlisted conclusions can be sorted by primary subject, publications, and more. Users may sign up for intelligent alerts to be informed about developments in science and stay one step ahead of the competition.

Deepli Businesses a search engine that searches through the web pages of businesses involved in the “bio” industry. Users may look at the most recent keyword changes, locate suppliers and prospects, and obtain a market summary.

Clinical Exams — looks for the individuals in charge of clinical studies.

4. DeepcOS

A cloud-based radiology AI platform called DeepcOS offers end-to-end integration of medical AI technologies from the world’s top AI suppliers. For real-time processing, the platform directs data to the appropriate AI engine.

To assist professionals in providing the quickest and most accurate diagnoses possible, deepcOS strives to improve imaging process efficiency. This is essential for the early diagnosis of any pathological changes in the regions being checked, especially when such changes might be fatal.

5. Kheiron

99% of women with breast cancer who receive an early diagnosis will survive, according to the American Cancer Society. The Kheiron ML platform (Mia® — Mammography Intelligent Assessment) analyzes mammography images to aid radiologists in early cancer detection and raise breast cancer survival rates. Furthermore, a “timely” diagnosis frequently opens the door to less intrusive therapy. The business asserts that utilizing AI to discover different forms of cancer is their current primary emphasis. They claim that breast screening is just the beginning of their journey to revolutionizing diagnoses.

Radiologists and other professionals might possibly save millions of lives every year by providing smart support during the assessment process.

6. PathAI

To give patients access to the proper diagnosis and treatments, PathAI collaborates with biopharma, clinicians, and laboratories. Their AI-powered solution was created to lessen the likelihood of error and employ machine learning algorithms to analyze tumor cells with unmatched precision while minimizing subjectivity.

Additionally, reproducible digital pathology investigations are employed not only in the process of developing new drugs but also for diagnostic purposes.

7. Paige AI

Another AI cancer diagnosis business, Paige AI, focuses on utilizing ML to assist pathologists in making more accurate diagnoses. Paige created an AI supercomputer with a processing speed of more than 10 petaflops, capable of 1015 calculations per second. Paige recently trained neural networks to detect prostate cancer using the largest dataset available, obtaining nearly 100% accuracy. accuracy on a test set of about 2,000 pictures.

They thus developed Paige Prostate Detect, the first AI-based pathology item to win FDA clearance and be suitable for in vitro diagnostic uses.


From 2014 to 2021, the Health AI market increased from $600 million to $6.6 billion. Not only in the aforementioned industries, but also in surgical operations (which can now be robot-assisted) and hospital administrative workflows (which may be greatly automated), is there a rapid expansion of AI-powered solutions.

There are many more potential applications for the newest AI technologies, and the healthcare sector is ready to adopt any novel solution that aims to improve the quality of life for medical professionals, researchers, and patients. Don’t hesitate to contact us if you’re considering creating a similar application so that we can assist you in making your vision a reality.


Inna Zaimenko, a vibrant businesswoman using her love of sales, marketing, and life sciences to shape the future, contributed to the writing of this article. Deepli (formerly A-LabInsider), a platform with a number of product categories that include search engscientific research facilities or biotech firms.ines through websites and publications of academic life, was founded and is led by Zaimenko as its CEO.

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