Artificial Intelligence in Practice 2022
17
Mar
-
18
Mar
2022
When
London
UK
Where

Welcome back to the BIR AI annual conference 2022. We look to build on the success of the previous year's meetings by now looking at AI in practice. We will have presentations of success in real life working with radiology AI as well as the further steps and routes to adoption.

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The British Institute of Radiology

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The British Institute of Radiology is an independent multidisciplinary organisation, and a registered charity, whose membership is open to everyone with an interest in radiology and radiation oncology.

17 - 18 Mar 2022
In-Person

Speakers and Delegates
Industry Experts and Thought Leaders

Partner
Global Sales Manager - AI Informatics
Medical Director UK & Ireland
Chief Medical Officer | Clinical Safety Officer | Global Director AI & Innovation
CEO - General Manager
UK Medical Director and Head of Body Section Europe

Sponsors and Exhibitors
Brand, Media and Promotional Partners

GE Healthcare

Every day millions of people feel the impact of our intelligent devices, advanced analytics and artificial intelligence.

Bayer

Bayer is a global enterprise with core competencies in the Life Science fields of health care and agriculture. Our products and services are designed to benefit people and improve their quality of life.

Contextflow

Radiology is facing serious challenges, so contextflow develops deep-learning based tools to help improve radiologists’ daily clinical workflows.

Advanced Accelerator Applications

"Our work is guided by our commitment to bring new innovations to patients and AAA is dedicated to developing treatments for several leading types of cancer through the application of precision, targeted radioligand therapy.

Agfa HealthCare

"At Agfa HealthCare, we are transforming the delivery of care – supporting healthcare professionals across the globe with secure, effective, and sustainable imaging data management.

Aidence

"We believe that data is key to disease prevention, management, and treatment. Our team knows how to turn complex data science into practical and intuitive solutions that make physicians' work easier.

Aidoc Medical

"Aidoc supports medical specialists to help flag acute anomalies in real time, expediting patient treatment and improving quality of care.

annalise.ai

"annalise.ai was formed through the unique partnership between Australia's largest medical imaging service provider, I-MED Radiology Network, and healthcare technology company, Harrison.ai.

AZmed

"AZmed has been the first French company to commercialize an AI-powered radiology software.

GLEAMER

"GLEAMER develops medical-grade AI solutions to support radiologists and Emergency physicians in their daily work. Our solutions rely on powerful Artificial Intelligence algorithms, to detect and localize lesions on medical images.

Lunit

"Lunit, abbreviated from “learning unit,” is a Medical AI software company devoted to developing advanced medical image analytics and novel imaging biomarkers via cutting-edge deep learning technology.

Medica Group Plc

"Medica was established to offer hospital radiology departments independent support to address serious capacity issues for both urgent and non-urgent reporting, through the provision of a timely, high-quality clinical service within a strong clinical

oxipit

"Oxipit is a computer vision software startup specialized in medical imaging.

Qure.ai

"From medical images to connected devices, the amount of medical data being generated is growing exponentially.

Telemedicine Clinic

"Europe's Leading Sub-Specialty Radiology Centre As more hospitals all over Europe recognise the advantages of managing their capacity in network with TMC, we are growing quickly.

Philips

Over the past decade we have transformed into a focused leader in health technology. At Philips, our purpose is to improve people’s health and well-being through meaningful innovation. We aim to improve 2.

Siemens Healthineers

Siemens Healthineers is a leading medtech company with over 125 years of experience. Our portfolio, spanning from in-vitro and in-vivo diagnostics to image-guided therapy and innovative cancer care, is crucial for clinical decision-making and treatme

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