How is AI and machine learning benefiting the healthcare industry?

Medical technology concept. Electronic medical record.
© iStock/metamorworks

Artificial intelligence (AI) and machine learning technologies are rapidly revolutionising the medical industry around the world.

In order to help build increasingly effective care pathways in healthcare, modern artificial intelligence technologies must be adopted and embraced. Events such as the AI & Machine Learning Convention are essential in providing medical experts around the UK access to the latest technologies, products and services that are revolutionising the future of care pathways in the healthcare industry.

Harnessing the power of AI to save lives

AI has the potential to save the lives of current and future patients and is something that is starting to be seen across healthcare services across the UK. Looking at diagnostics alone, there have been large scale developments in rapid image recognition, symptom checking and risk stratification.

AI can also be used to personalise health screening and treatments for cancer, not only benefiting the patient but clinicians too – enabling them to make the best use of their skills, informing decisions and saving time.

AI and the NHS

The potential AI will have on the NHS is clear, so much so, NHS England is setting up a national artificial intelligence laboratory to enhance the care of patients and research.

The Health Secretary, Matt Hancock, commented that AI had “enormous power” to improve care, save lives and ensure that doctors had more time to spend with patients, so he pledged £250M to boost the role of AI within the health service.

Get access to invaluable expertise

The AI and Machine Learning Convention is a part of Mediweek, the largest healthcare event in the UK and as a new feature of the Medical Imaging Convention and the Oncology Convention, the AI and Machine Learning expo offer an effective CPD accredited education programme.

Hosting over 50 professional-led seminars, the lineup includes leading artificial intelligence and machine learning experts such as NHS England’s Dr Minai Bakhai, Faculty of Clinical Informatics’ Professor Jeremy Wyatt, and Professor Claudia Pagliari from the University of Edinburgh.

Other speakers in the seminar programme come from leading organisations such as the University of Oxford, King’s College London, and the School of Medicine at the University of Nottingham.

The event all takes place at the National Exhibition Centre, Birmingham on the 17th and 18th March 2020. Tickets to the AI and Machine Learning are free and gains you access to the other seven shows within MediWeek.

Health Europa is proud to be partners with the AI and Machine Learning Convention, click here to get your tickets.

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6 COMMENTS

  1. Healthcare companies can take advantage of Machine Learning with many different use cases, not few. Machine Learning-as-a-Service providers like BigML can help accelerate the implementation of those.

  2. Thank you for sharing the post, as the above points are very well discussed. Artificial intelligence (AI) in healthcare is the use of complex algorithms and software to emulate human cognition in the analysis of complicated medical data.
    AI programs have been developed and applied to practices such as diagnosis processes, treatment protocol development, drug development, personalized medicine, and patient monitoring and care.

    AI is supporting doctors, not replacing them

    Artificial intelligence (AI) research within medicine is growing rapidly. Healthcare AI projects attracted more investment than AI projects within any other sector of the global economy.
    For fore details, you can check out our website Appknock.co and will get an idea about the AI in healthcare

  3. Thank you for sharing the valuable post, I think AI is a better alternative to the shortage in manpower in healthcare industries as well, besides its use in automotive, manufacturing, communications, etc. Artificial intelligence is steadily entering the world of Healthcare as it is getting very helpful in describing an interconnection between the symptom and the disease. There are many sectors in medical science where AI has shown its magnificent value through its accuracy. Millions are exploiting the features based on Artificial Intelligence without actually knowing that they are using AI. Laser treatment, Hair transplant, and many other operations are being done by the robotics arm which is upskilled on a large amount of data. Artificial intelligence can further help in fighting with many virus prone diseases which can easily affect doctors with a touch. For the Healthcare sector, Artificial Intelligence will facilitate the doctors to incorporate activities in software, medical and cognitive sciences.

    But, all have their own advantages and disadvantages, AI is not any different. Although, it’s growth is faster than humans, but let’s not neglect some of its potential threat to humans. AI inherits all the data and critical private information can destroy us in no time because there is a counter to every attack in the cyber world.

  4. The post is really brilliant and the information is very useful for beginners. I’ve read about IBM’s Watson in many articles but none of them gave me as satisfactory description as this did. Learning more with quality over quantity sounds fascinating.
    Further one can get detailed information by visiting the website http://www.appknock.co

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