AI-Generated Draft Replies Integrated Into Health Records and Physicians' Electronic Communication von Tai-Seale, Ming, Baxter, Sally L, Vaida, Florin, Walker, Amanda, Sitapati, Amy M, Osborne, Chad, Diaz, Joseph, Desai, Nimit, Webb, Sophie, Polston, Gregory, Helsten, Teresa, Gross, Erin, Thackaberry, Jessica, Mandvi, Ammar, Lillie, Dustin, Li, Steve, Gin, Geneen, Achar, Suraj, Hofflich, Heather, Sharp, Christopher, Millen, Marlene, Longhurst, Christopher A

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Navigating the doctor-patient-AI relationship - a mixed-methods study of physician attitudes toward artificial intelligence in primary care von Allen, Matthew R, Webb, Sophie, Mandvi, Ammar, Frieden, Marshall, Tai-Seale, Ming, Kallenberg, Gene

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Research as a Change Catalyst: The Impact of EHR InBasket Spring Cleaning and Compassion Team Practice on Reducing Burnout von Walker, Amanda, Tai-Seale, Ming, Liu, Lin, Doran, Neal, Cheng, Yuwei, Savides, Thomas, Longhurst, Christopher, Webb, Sophie, Yung, Nathan, Mandvi, Ammar

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Learning health system research as a catalyst for promoting physician wellness: EHR InBasket Spring cleaning and team‐based compassion practice von Tai‐Seale, Ming, Walker, Amanda, Cheng, Yuwei, Yung, Nathan, Webb, Sophie, Lunde, Ottar, Bazzo, David, Mandvi, Ammar, Doran, Neal, Kallenberg, Gene, Longhurst, Christopher A., Zisook, Sidney, Savides, Thomas J., Millen, Marlene, Liu, Lin

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Additional file 2 of Navigating the doctor-patient-AI relationship - a mixed-methods study of physician attitudes toward artificial intelligence in primary care von Allen, Matthew R., Webb, Sophie, Mandvi, Ammar, Frieden, Marshall, Tai-Seale, Ming, Kallenberg, Gene

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Dynamical clustering of U.S. states reveals four distinct infection patterns that predict SARS-CoV-2 pandemic behavior von Natale, Joseph L, Viswanath, Varun, Acevedo, Oscar Trujillo, Giottonini, Sophia Pérez, Hernández, Sandy Ihuiyan Romero, Millán, Diana G. Cruz, Palacios-Puga, A. Montserrat, Mandvi, Ammar, Khan, Brian M, Lilik, Martin, Park, Jay, Smarr, Benjamin L

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Dynamical clustering of U.S. states reveals four distinct infection patterns that predict SARS-CoV-2 pandemic behavior von Natale, Joseph L, Viswanath, Varun, Oscar Trujillo Acevedo, Sophia Pérez Giottonini, Sandy Ihuiyan Romero Hernández, Cruz Millán, Diana G, A Montserrat Palacios-Puga, Ammar Mandvi, Khan, Brian M, Lilik, Martin, Park, Jay, Smarr, Benjamin L

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