Machine learning technology: an introduction for healthcare professionals

20th May 2021  13:00 - 16:30 (GMT+00:00) GMT

Virtual event – Thursday 20 May 13:00-16:30 GMT
3 CPD points
This event will be recorded and available after on-demand to those who are registered

 

Machine learning algorithms are starting to become more widely implemented in a variety of software applications within radiology and radiotherapy. However, there remains a shortage of healthcare professionals with an understanding of such technologies, particularly in relation to their advantages and limitations.
 

This introductory, educational event is designed to increase the knowledge level of attendees such that more informed decisions can be made with regards implementation of machine learning tools in a clinical setting, whether purchased ‘off-the shelf’ or developed locally. 
 

The event will provide a broad, high-level overview of key machine learning theories, with a focus on imaging and radiotherapy applications. Important issues related to clinical translation will also be discussed. Although no prior machine learning knowledge will be assumed, the event will briefly cover basic mathematical concepts. Therefore, a rudimentary understanding of statistics and linear algebra would be beneficial for getting the most out of the taught content.

View the programme!

Registration fees:

Early bird rates*** Available until Friday 23 April 2021
Non members £35
BIR members £30

Standard rates
Non members £40
BIR members £40

*VAT will be added at checkout, where applicable
 

Further updates

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Payment for all events must be made via a debit or credit card. Invoices and PO numbers cannot be used for registration payment. If you need your hospital, Trust, or organisation to pay for registration fees please have them contact our events team at conference@bir.org.uk. Please note VAT will be added for all virtual events to the registration fees listed. For any further inquiries please contact conference@bir.org.uk

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Venue

Speakers

Sponsors

Advanced Accelerator Applications

Advanced Accelerator Applications, S.A. (AAA), a Novartis company, is an innovative medicines company developing targeted radioligand therapies and precision imaging radioligands for oncology. We are committed to transforming patients’ lives by leading innovation in nuclear medicine. AAA currently has over 1,000 employees working across 31 sites in 12 countries (Canada, France, Germany, Israel, Italy, the Netherlands, Poland, Portugal, Spain, Switzerland, the UK and the US). The company also has global manufacturing capabilities with 19 facilities in eight countries, and six research & development sites. For more information, please visit: https://www.adacap.com/.

Bayer Healthcare

Bayer’s Radiology business is well placed to be the partner of choice in helping NHS trusts to address the many challenges faced today including the increasing need for governance to demonstrate best practice and improving patient care within increasing financial constraints. With market-leading contrast media and power injector systems, Bayer is able to offer innovative patient care and with the addition of its informatics platform, it can support radiology departments in driving protocol standardisation and easily accessible audit data that enable departments to meet further challenges faced around contrast and radiation dose management. 0118 2063999 www.radiology.bayer.co.uk

GE Healthcare Ltd

n GE Healthcare is a leading provider of medical imaging, monitoring, and life science technologies. GE Healthcare enables precision health in diagnostics, therapeutics and monitoring through intelligent devices, data analytics, applications and services to help providers, researchers and life sciences companies in their mission to improve outcomes for patients around the world.

MIM Software Inc.

MIM Software Inc. offers a comprehensive suite of applications that support Radiology and Nuclear Medicine’s important role in the patient care pathway. *Contour ProtégéAI™ provides automatic contouring through dynamic deep learning algorithms designed to increase efficiency without sacrificing accuracy. *CE Mark pending - may not be available in your country.

Philips Healthcare

Enabling better health and better care at lower cost Philips is a leading health technology company focused on improving people`s lives across the health continuum - from healthy living and prevention, to diagnosis, treatment and home care. Applying advanced technologies and deep clinical and consumer insights, Philips delivers integrated solutions that improve people`s health and enable better outcomes. Partnering with its customers, Philips seeks to transform how healthcare is delivered and experienced. The company is a leader in diagnostic imaging, image-guided therapy, patient monitoring and health informatics, as well as in consumer health and home care. www.philips.co.uk/healthcare

Siemens Healthineers

Siemens Healthineers is shaping the future of Healthcare. As a leading medical technology company headquartered in Erlangen, Germany, Siemens Healthineers enables healthcare providers worldwide through its regional companies to increase value by empowering them on their journey towards expanding precision medicine, transforming care delivery, improving the patient experience, and digitalising healthcare. Siemens Healthineers is continuously developing its product and service portfolio, with AI-supported applications and digital offerings that play an increasingly important role in the next generation of medical technology. These new applications will enhance the company’s foundation in in-vitro diagnostics, image-guided therapy, and in-vivo diagnostics. Siemens Healthineers also provides a range of services and solutions to enhance healthcare providers’ ability to provide high-quality, efficient care to patients. For more information and latest product line visit www.siemens-healthineers.co.uk