Responsible adoption of multimodal artificial intelligence in health care: promises and challenges

We acknowledge the support from the University Health Network Foundation (Transplant AI Initiative) , Oncoustics, Novo Nordisk, and Paladin and thank the Italian Ministry of Health for supporting DF's participation in this study through the Current Research Fund and NextGeneration EU PNC 0000001 D3 4 Health. The funders of the study had no role in study design, data collection, data analysis, data interpretation, or writing of the report. We also acknowledge the members of the Alliance of Centers of Artificial Intelligence in Medicine (ACAIM) who participated in the ACAIM workshop and shared their perspectives, which directly informed the development of this manuscript. We thank: Halim Abbas, Yin Aphinyanaphongs, James Barry, Helen Chen, Niloufar Eghbali Zarch, Khaled El Emam, Jake Franklin, Ioannis Kakadiaris, Diane Kim, Johanna Kim, Matthieu Komorowski, Jude Kong, April Khademi, Robert Kramer, Alexander Leichtle, Carson Leung, Alfonso Limon, Pietro Lio, Lisa Lix, Benoit L Marteau, Piyush Mathur, Paul Mullan, Jai Nahar, Micky Nnamdi, Anita Palepu, Dan Perri, Rubin Pillay, Sybil Russell, Suchi Saria, Ben Tamo, and May D Wang. During the preparation of this work, the authors used ChatGPT-4o to improve readability and language of the manuscript. After the initial draft and review by GA, each paragraph was individually copied and pasted into ChatGPT-4o with the following prompt: "Rewrite the following paragraph for publication in a high-impact AI in health-care journal such as Lancet Digital Health." GA then reviewed and edited the result. After using the tool, the authors reviewed and edited the content as needed and take full responsibility for the content of the publication.