Radioactive substances are normally harmful, but nuclear medicine aims to take that destructive power and use it to treat - or at least diagnose - diseases. Efforts to combine this with AI to treat diseases like cancer in new and more effective ways continue to advance, and so the globally leading online AI community The Yuan has partnered with the world-renowned think tank Deep Pharma Intelligence and the world leading nuclear medicine company Evomics to put together this report, which takes an in-depth look at the latest AI applications in nuclear medicine and radiology and what the future of AI in these fields might look like, as well as the specific steps being taken by the private sector and governments around the world to help drive this development.

As we enter the final quarter of 2022, Jack Kotin, editor and contributor for The Yuan, introduces The Yuan's latest series of articles from five of its expert contributors that takes a look at how predictions that were made at the end of 2021 have fared thus far in 2022.

China and the United States have officially locked horns in a contest of titans to determine which superpower will emerge as the world’s foremost leader in artificial intelligence. Ben Armour and Jack Kotin, editors and contributors at The Yuan, break down the current situation and predict what the future may hold.

The Yuan contributor Jack Kotin takes a closer look at the recent white paper released by Stanford Institute for Human-Centered Artificial Intelligence, which contains specific recommendations to the United States government on how to keep ahead of the AI curve.

Given the challenges of the COVID-19 pandemic, ever-present geopolitical tensions, and an increasingly digital world, mastering the latest artificial intelligence technology and defending against the potential threats it poses will be among the greatest challenges the United States will face in the coming years, and requires a comprehensive, coordinated strategy involving government, the private sector, and academia. Does the US have what it takes to stay ahead in AI?