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Machine Learning in Healthcare: 5 Important Developments You Can’t Afford to Miss

Posted on the 06 August 2020 by Botreetechnologeis @botreetech

Innovation is the prime companion of the healthcare sector in tough times. From wearable smart devices that monitor your health to Machine Learning in healthcare for personal assistance, the industry is now advancing much faster than ever before.

Google recently developed a Machine Learning algorithm to identify cancerous tumours. Stanford University is working on Machine Learning for health care to detect skin cancer.

Microsoft Project InnerEye uses AI and Machine Learning in healthcare to differentiate between tumorous and healthy anatomy with the help of 3D imagery.

Pfizer utilizes Machine Learning algorithms for researching immuno-oncology to understand the immune system's capabilities in fighting cancer. There are countless other companies that are harnessing the power of Machine Learning healthcare research.

Machine Learning works with millions of data points together to deliver near accurate predictions. It enables healthcare professionals to provide valuable suggestions on time, assess the risk of diseases, and allocate the right resources for treatment.

Also Read: Grow Your Healthcare Business Using Artificial Intelligence

Benefits of Machine Learning in Healthcare

One of the most important things in healthcare is quick decision making. If clinicians and healthcare providers receive more information in advance, they can minimize the risks by making treatment-related decisions beforehand.

Machine Learning for healthcare and bioinformatics can process a massive amount of data and deliver valuable insights that can help healthcare professionals in making quick decisions.

It also allows them to analyze a patient's medical history and predict the outcomes based on their treatment and lifestyle.

On the other hand, they can also plan in advance, suggesting a comprehensive treatment to the patient, resulting in lower costs and ultimate patient experience.

Some of the benefits of Machine Learning in Healthcare are:-

  • Analyze medical history
      Machine Learning for the Healthcare Industry is like a blessing in disguise. There is a lot of unstructured data in the form of patient records, past treatments, and the medical history of the patient's family.
    • Machine Learning helps in analyzing the historical data of patients and supports clinicians to predict accurate conditions about their health.
    Administrative task management

We have written a detailed article of the use cases of Machine Learning in different industries including healthcare. It has everything you need to know about Machine Learning. Read it here.

5 Major development of Machine Learning in Healthcare

We must not talk about Machine Learning for healthcare as the one-stop problem solver. It is a tool that complements the clinicians and assists them in delivering better outcomes.

Recently, several essential advancements in Machine Learning for the healthcare industry have taken place.

Machine Learning in Healthcare: 5 important developments you can’t afford to miss Let's have a look at the 5 major ones that you can't afford to miss:-
    Electronic Health Records(EHRs)
    Medical imaging & diagnosis
    • On the other hand, by uploading health data on smart devices, patients can make better decisions for their health and change their lifestyle. Older people can also raise an emergency alarm when they need someone, which has already resulted in saving a lot of lives.
    • While people are still getting used to smart devices, the benefits of Machine Learning in healthcare for such devices are plenty. Since this data is uploaded online, anyone can access this data and get to know the real-time condition of the patient's health.

AI and Machine Learning are a boon to the healthcare world. Read here about what makes AI different from Machine Learning and Deep Learning.

Machine Learning in Healthcare: 5 important developments you can’t afford to miss

Future of Machine Learning in Healthcare

Machine Learning for health care is evolving with each day. People want better healthcare outcomes, and doctors want to reduce their time and costs taken in serving each patient.

The future looks bright for Machine Learning. There could be programmed robots that would assist doctors in the surgery room. AI and Machine Learning in healthcare can enable doctors to minimize the risk during operations by going down to the minutest details of the treatment.

Machine Learning is going to expand its base in healthcare with years to come. Healthcare professionals and clinicians must start utilizing Machine Learning in their favour.

For this, you can hire BoTree Technologies and TALK TO OUR MACHINE LEARNING EXPERTS.

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Machine Learning in Healthcare: 5 important developments you can’t afford to miss

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