Multi-Omics Approaches for Building Software as Medical Devices

With the explosion of data in medicine, the development of computational methods and workflows to effectively harness this resource and turn it into actionable information is the need of the hour. Artificial Intelligence (including deep learning, machine learning, and data analytics) is set to play a revolutionary role in the future of medicine, and embracing the AI revolution is vital to transform health outcomes. At the same time, attention needs to be paid to ensure that the deployment of AI devices does not worsen healthcare disparities. Democratic precision medicine constitutes the promise of the AI revolution. We have initiated a Special Collection on “Software as Medical Devices for Cancer Applications” that aims to collate cutting-edge research articles and state-of-the-art reviews that push the boundaries to realize the promise of AI for human health. Specifically, this Special Collection calls for contributions that advance software as medical device applications for the screening, early detection, differential diagnosis, prognosis and improved clinical management of cancers. The seminar will provide a technical background for the Special Collection and also examine the ethical dimensions that need to be evaluated prior to the deployment of customized AI physician assistants.

Dr Vaithi will be providing a practitioner's perspective on the use of AI in the clinic. The session will cover the state-of-the-art, and the promise of software as medical devices to aid medical/clinical decision making. He will discuss the pitfalls to watch out for in the adoption of such systems, and share ideas on the role and increasing adoption of AI in medicine in the future. This session will be in the form of Q&A, and Dr Vaithi will be available afterward to answer questions from the audience.