Open-Source Clinical Machine Learning Models: Critical Appraisal of Feasibility, Advantages, and Challenges by Keerthi B Harish, W Nicholson Price, Yindalon Aphinyanaphongs

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Summary of Keynote Speeches from the 2024 Voice AI Symposium, presented by the Bridge2AI-Voice Consortium by Rupal Patel, Nicholson Price, Ruth Bahr, Steven Bedrick, Yael Bensoussan, Jean-Christophe Bélisle-Pipon, David Dorr, Christie Jackson, Andrea Krussel, Samantha Salvi Cruz, Jamie Toghranegar, Stephanie Watts, Robin Zhao, The Bridge2AI-Voice Consortium, Maria Powell, Yael Bensoussan, Olivier Elemento, Anais Rameau, Alexandros Sigaras, Satrajit Ghosh, Maria Powell, Vardit Ravitsky, Jean-Christophe Bélisle-Pipon, David Dorr, Phillip Payne, Alistair Johnson, Ruth Bahr, Donald Bolser, Frank Rudzicz, Jordan Lerner Ellis, Kathy Jenkins, Shaheen Awan, Micah Boyer, Bill Hersh, Andrea Krussel, Steven Bedrick, Toufeeq Ahmed Syed, Jamie Toghranegar, James Anibal, Duncan Sutherland, Enrique Diaz-Ocampo, Elizabeth Silberhoz, John Costello, Alexander Gelbard, Kimberly Vinson, Tempestt Neal, Lochana Jayachandran, Evan Ng, Selina Casalino, Yassmeen Abdel-Aty, Karim Hanna, Theresa Zesiewicz, Elijah Moothedan, Emily Evangelista, Samantha Salvi Cruz, Robin Zhao, Mohamed Ebraheem, Karlee Newberry, Iris De Santiago, Ellie Eiseman, JM Rahman, Stacy Jo, Anna Goldenberg

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