Why Combining AI & Machine Learning and Medical Imaging is the Future, Now.
Artificial intelligence is becoming increasingly important in medical practices across the UK. In particular, medical imaging services are adopting the technology due to the fact that the efficiency and accuracy of diagnoses are being greatly improved.
Gov UK has reported figures that reveal the total number of venture capital investments into the UK’s AI sector rose by 17% last year. Furthermore, in the State of AI 2019 paper that was released by the Royal Institute in London, it was revealed that the UK is the European leader in AI production — with a third of all European AI startups being founded in the UK.
AI is quickly becoming an integral part of our society, so much so, the UK Government has announced plans that they will begin a nationwide programme of industry-funded AI master’s courses coupled with work experience placements in collaboration with the Institute of Coding and British Computer Society. This scheme will be supported with up to £100 million of Government investment as well.
The medical industry is quickly developing new AI-powered medical devices, which offer personalised patient diagnoses, improved clinical decisions, and therefore patient outcomes.
An example of an innovative business that are developing AI technologies is iCAD Inc, exhibitor at the AI & ML Convention. iCad have developed software that has revolutionised the way a tomosynthesis are observed; through the newly developed ProFound. The technology is a high-performing, concurrent-read, cancer detection and workflow solution that rapidly analyses each tomosynthesis image extremely accurately, allowing for the detection of both malignant soft tissue densities and calcifications.
ProFound, is built on the latest deep-learning and artificial intelligence technology will assist radiologists by improving cancer detection rates, reducing false positives and unnecessary patient recalls, and decreasing reading times; ultimately making the diagnosis process more efficient and accurate.
A further business, Nvidia, a business that produces market leading graphical process units, is developing AI and machine learning technologies for use in the healthcare industry; with a particular specialisation in innovative deep learning systems for medical imaging.
One of the most common arguments against the widespread adoption of AI in the medical industry is that it will replace human workers in the same role. However, Nvidia sees its role completely differently. It sees its role as a supportive role for pathologists and radiologists; being able to identify key information in images increasingly quickly and accurately, but never making a decision. They will leave this to the professionals that are experts in this field.
Further, another question that is being asked of artificial intelligence is whether it can keep up with the progressively difficult conditions that patients are coming into hospitals to be treated for. AI systems are continually learning new ways to identify issues through deep learning, which allows them to effectively learn on the job. So if a patient comes in with multiple chronic conditions, chances are that the AI system has already learned how to identify each individual condition, which will allow the patient’s diagnosis to be completed more efficiently.
The adoption of AI technologies in the NHS may face great criticism from some, however, it is hard to argue that when it can work more efficiently, save more time, and produce more accurate diagnoses when working closely with expert radiographers and pathologists. With businesses around the industry gaining millions of pounds of investment to develop AI systems , the technologies will be adopted by the NHS and also exported internationally; all with the aim of achieving the best possible patient outcomes.
The AI and Machine Learning Convention will bring together thousands of the industry's leading artificial intelligence and machine learning experts at one of the UK’s most forward thinking events. With 50 CPD accredited seminars and masterclasses, and 50 market-leading exhibitors, the Convention is dedicated to exhibiting technology which is really just beginning to be introduced across hospital services, this truly is a pioneering event that will shape the future of healthcare.
Tickets to attend the AI and Machine Learning Convention are free, so follow this link to website and register for your free tickets now!
Mediweek is looking for businesses that provide innovative AI and machine learning technologies as well as the best equipment and services available to the medical imaging industry that will help achieve the best possible patient outcome across the medical industry. If you want to exhibit in front of 2500 world leading oncology professionals, contact Event Director Dominic van Duivenbode at email@example.com or 0117 990 2097 for more information.
For more information about new cancer-related technologies and techniques, visit www.oncologyconvention.com to find out more about how the show is displaying the revolutionary ways of studying and treating cancer.