Lung cancer screening and management in the metaverse era

Faced with the high incidence and mortality rates of lung cancer domestically, as well as issues such as over-treatment and delayed diagnosis during manual image interpretation, Professor Bai Chunxue led a team to establish clear screening criteria and target populations for lung cancer. They proposed using artificial intelligence (AI) to mitigate the shortcomings of manual image reading. However, AI also faces challenges such as data centralization and lack of sharing, which need to be further addressed. The emergence of the metaverse medicine provides a potential solution to these issues. In 2022, the International Alliance of Metaverse Medicine (IAMM) was formally established, with Professor Bai serving as the inaugural chairman of the Metaverse Medicine Founding Conference. Subsequently, he and his team published two seminal works, titled Future Come: Metaverse Medicine We Need and Metaverse Medicine, elaborating on the vision of metaverse medicine empowering lung cancer screening and management. They also founded the Clinical eHealth (CEH). We should further promote the application of PNapp5A, human-machine MDT, and metaverse empowerment to enhance the level of lung cancer screening and management, realizing the vision of “preventing disease by famous doctors, and wisdom of metaverse for all”.

Key Words: lung cancer; artificial intelligence; metaverse; screening and management