Preventing unrestricted and unmonitored AI experimentation in healthcare through transparency and accountability by Donnella S. Comeau, Danielle S. Bitterman, Leo Anthony Celi

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Regulating medical AI before midnight strikes: Addressing bias, data fidelity, and implementation challenges. by Cameron J Sabet, Ketan Tamirisa, Danielle Sara Bitterman, Leo Anthony Celi

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Large language models in oncology: a review by Fei-Fei Liu, David Chen, Srinivas Raman, Rod Parsa, Karl Swanson, John-Jose Nunez, Andrew Critch, Danielle S Bitterman

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Baseline atrial volume indices and major adverse cardiac events following thoracic radiotherapy by Edmund M. Qiao, John He, Katrina D. Silos, Jordan O. Gasho, Patrick Belen, Danielle S. Bitterman, Danielle S. Bitterman, Elizabeth McKenzie, Jennifer Steers, Christian Guthier, Anju Nohria, Michael T. Lu, Hugo J. W. L. Aerts, Hugo J. W. L. Aerts, Hugo J. W. L. Aerts, Andriana P. Nikolova, Raymond H. Mak, Raymond H. Mak, Katelyn M. Atkins, Katelyn M. Atkins

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The TRIPOD-LLM reporting guideline for studies using large language models by Jack Gallifant, Majid Afshar, Saleem Ameen, Yindalon Aphinyanaphongs, Shan Chen, Giovanni Cacciamani, Dina Demner-Fushman, Dmitriy Dligach, Roxana Daneshjou, Chrystinne Fernandes, Lasse Hyldig Hansen, Adam Landman, Lisa Lehmann, Liam G. McCoy, Timothy Miller, Amy Moreno, Nikolaj Munch, David Restrepo, Guergana Savova, Renato Umeton, Judy Wawira Gichoya, Gary S. Collins, Karel G. M. Moons, Leo A. Celi, Danielle S. Bitterman

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