Apart from efforts to develop vaccines for Covid-19, 2020 was a year of substantial advancements in artificial intelligence (AI) and machine learning – technologies that are being applied in healthcare as never before, resulting in improvements and enhancements in diagnosis and treatment that were previously impossible.

In 2021, we expect to see further growth and rapid demand for artificial intelligence and machine learning (a key segment of A.I.) in healthcare. By automating administrative tasks and aiding in decision-making, these smart algorithms promise to free up physicians’ valuable time; time that can be dedicated where the human touch is essential in healthcare.

To explain the key trends driving the growth of A.I., we're hosting a live Q&A with Dr. Bertalan Meskó, The Medical Futurist. In the live Q&A, Bertalan will answer questions about the top 5 trends influencing the role of A.I. in healthcare:

Federated learning can help deal with privacy issues
Lacking regulation in better defining A.I.-based medical tech
Future of A.I.: Chess’ fate awaits healthcare
Practical applications will help get physicians on board
What we cannot expect yet from A.I. in healthcare
In the 2021 edition of the book, 'A Guide to Artificial Intelligence in Healthcare' Dr. Meskó and his team analyze what artificial intelligence brings to medicine. They answer questions like: What do machine learning, deep learning, or convolutional networks mean? What are the most affected medical fields? What are the greatest challenges for applying smart algorithms to healthcare settings? What could the future bring? What are the top use cases for artificial intelligence in healthcare during the next decade? How can we benefit from the exchange of knowledge between humans and machines? What social and ethical implications of A.I. do we need to address?

In this live Q&A, Dr. Meskó will answer all the questions you might have about artificial intelligence, and help you separate the hype from the facts around A.I. in healthcare. Join the session to learn how to understand, anticipate and control artificial intelligence in medicine.

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