Machine Learning Use in Health Care Fields

The field of medical AI is buzzing. More and more companies set the purpose to disrupt healthcare with the help of artificial intelligence. Given how fast these companies come and go, it can prove to be hard to stay up-to-date with the most promising ones. Here, I collected the biggest names currently on the market ranging from start-ups to tech giants to keep an eye on in the future.

No one doubts that artificial intelligence has unimaginable potential. Within the next couple of years, it will revolutionize every area of our life, including medicine. However, many have their fears and doubts about AI taking over the world, Stephen Hawking even said that the development of full artificial intelligence could spell the end of the human race. Nevertheless, I am fully convinced that if humanity prepares appropriately for the AI-age, artificial intelligence will prove to be the next successful area of cooperation between humans and machines.

Concerning healthcare, artificial intelligence will redesign it completely – and for the better. AI could help medical professionals in designing treatment plans and finding the best suited methods for every patient. It might assist repetitive, monotonous jobs, so physicians and nurses can concentrate on their actual jobs instead of e.g. fighting with the tread-wheel of bureaucracy.

In fact, our A.I. e-book guide aims to prepare healthcare and medical professionals for the era of human-machine collaboration, and would be a great way to know more about how such a collaboration can be beneficial to medicine.

Mining medical records is the most obvious application of AI in medicine. Collecting, storing, normalizing, tracing its lineage – it is the first step in revolutionizing existing healthcare systems.

Look at this example which shows that AI is awfully needed

Just look at this picture taken in a Hungarian hospital in the capital city, Budapest. The personnel manages patients’ appointments MANUALLY on a huge black board, and I do not even want to comment on the index-card holder. The whole scene is rather from an early 20th century hospital than a healthcare institution way in the second decade of the 21st century.

It is obvious that such systems are unsustainable and artificial intelligence could offer help. And some entrepreneurs already realized the huge transformative as well as financial potential in medical AI. Researcher Frost & Sullivan said artificial intelligence systems will generate $6.7 billion in global revenue from healthcare by 2021, compared with $811 million in 2015. The market is truly booming, hence start-ups grow out of nowhere like mushrooms. So, let me introduce you to companies which are on the best way to democratize healthcare through artificial intelligence. It is truly worth keeping an eye on them since they are great partners in building a more transparent and effective healthcare.

In the age of Big Data, it is no question how valuable patient data is. When such tech giants as Google or IBM appear in the field of patient data mining, everyone knows it is something worth doing.

1)Google Health/DeepMind:-

Last September, DeepMind’s health team merged with Google Health so as to “build products that support care teams and improve patient outcomes.” Google Health is tapping into A.I.’s potential to help in cancer diagnosis, predicting patient outcomes, averting blindness, and more.

These aren’t just empty words, Google has walked its talk. Together with the company’s DeepMind branch, Google Health has recently come up with an A.I.-based solution for identifying breast cancer. What’s more, the algorithm even outperformed all human radiologists it was pitted against, on average by 11.5%! While it was only on pre-selected data sets, studies doing the same on diverse clinical data are coming soon.

At Google we’re committed to improving the lives of as many people as possible. One of the most important areas in which we’re striving to do that is health.

When you need information about medical conditions, directions to the nearest hospital, reminders to take medicine, or help with measuring your fitness progress, you might ask Google for help. We do our best to provide the most accurate and helpful information across services like Google Search, Maps, Assistant, Fit and WearOS Smartwatches.

Beyond that, emerging technologies present opportunities to elevate healthcare for everyone. Today we’re studying the use of artificial intelligence to assist in diagnosing cancer, predicting patient outcomes, preventing blindness, and much more. We’re exploring ways to improve patient care, including tools that are already being used by clinicians. And we’re partnering with doctors, nurses, and other healthcare professionals to help improve the care patients receive.

2) IBM Watson Health:-

IBM’s dedicated health branch, Watson Health, was set up as a service to bring A.I.’s helping hand to stakeholders within the healthcare sector from payers to providers. With the power of cognitive computing, Watson Health has aided several renowned organizations like Mayo Clinic with its breast cancer clinical trial and Biorasi to bring drugs to the market faster while slashing costs by over 50%.

However, while Watson Health develops a promising technology, they have also received some criticism. Reporters have questioned its diagnostic prowess while pointing out potential risks to patients’ safety. Stat News wrote about how Watson “often spits out erroneous cancer treatment advice and that company medical specialists and customers identified “multiple examples of unsafe and incorrect treatment recommendations””.

The Wall Street Journal reported on how “more than a dozen IBM partners and clients have halted or shrunk Watson’s oncology-related projects.” As such, caution is advised even when working with solutions from big tech companies and IBM still seems to have more work to do before getting to its envisioned future of health.

3) Oncora Medical:-

The Philadelphia-based start-up aims to help cancer research and treatment, especially in radiation therapy. One of its co-founders, David Lindsay, was doing clinical work as an M.D./Ph.D student at the University of Pennsylvania, when he recognized that radiation oncologists had no integrated digital database that collected and organized electronic medical records. So he decided to build exactly that: a data analytics platform that can help doctors design sound radiation treatment plans for patients. 

Nowadays, Oncora Medical boasts products targeted towards patient care and healthcare institutions. By collecting relevant data, the company’s software can measure quality of care, optimize treatment, as well as provide in-depth oncology outcomes data and imaging in order to help improve operations and patient outcomes.

With the automated solutions it provides, the company even quoted one user saying that “Oncora brought back the joy of being a physician.” This definitely aligns with what The Medical Futurist envisions as A.I. ushering the real era of The Art of Medicine.

4) CloudMedX Health

The start-up deep in the heart of the Silicon Valley focuses on optimizing patient and financial outcomes through predictive analytics. CloudMedX utilizes Natural Language Processing (NLP) and deep learning to obtain existing data from electronic medical records and outputs clinical insights for health care professionals so as to improve patient outcomes. CloudMedx’s AI Assistant subsequently aids doctors and patients make data-driven decisions. 

The company’s solution has already been applied in several areas of medicine like congestive heart failure, liver cancer, ALS, renal failure, orthopedic surgery, with promising results. In fact, CloudMedx won the “Best Overall Connected Healthcare Solution” at the 2019 GITEX Award. I hope that many others will follow their lead in exempting medical professionals from administrative and data-related burdens.

5) Babylon Health

Based in the UK, Babylon Health has already rolled out its patient-centered remote consultation service to Rwanda and some British cities, with plans to launch it in China, the USA and the Middle East. The free smartphone app’s dynamic A.I. will begin to ask users about their complaints and subsequently match them to a relevant physician, 24/7, via video or voice call for further medical assistance. Through deep learning, Babylon’s A.I. system can also provide users with personalised insights to stay healthy and better understand their health.

6) Butterfly Network

Jonathan Rothberg established his start-up, Butterfly Network in 2011 with the goal to create a new handheld medical imaging device that can make both MRI and ultrasounds significantly cheaper and more efficient. His ultimate aim is to automate much of the medical imaging process.

The company’s Butterfly iQ is the first step towards this goal. This portable handheld device uses an Ultrasound-on-Chip technology to replace the traditional transducer system with a single silicon chip, emulating any type of transducer (linear, curved or phased) and allows for a whole body imaging from a single probe. By combining semiconductors, artificial intelligence, and cloud technology in a pocketable form, the Butterfly iQ is making remote medical imaging a reality, a boon to remote communities, some of which are benefiting from such crucial medical information for the first time.

Summary:-

In this artical we learn which MNC's company use Machine learning.

Thanks vimal sir give task to research some company use machine learning.

This artical show healthcare industry details.