The quality of a peer-reviewed journal such as Radiology: Artificial Intelligence requires substantial time and effort with contributions from hundreds of reviewers. Our reviewers are tasked to accomplish detailed analytic reviews of complex topics. Together with the Editorial Board members listed on our masthead, our reviewers are the backbone of this journal: they maintain the quality of this journal’s publications as the highest in our field. I am pleased to make special note of a group of individuals who are recognized for the high quality of their prompt, detailed, and scholarly reviews: the recipients of the 2023 Editor’s Recognition Awards. These Editor’s Recognition Awards are based on the quality, timeliness, and quantity of reviews that are accomplished each year. Each awardee will receive a certificate and letter of congratulations. In addition to these specific reviewers, the RSNA and the Radiology: Artificial Intelligence Editorial Board acknowledge all of our reviewers, who are among the most thorough and engaged reviewers among all biomedical journals.
With Special Distinction
Lisa C. Adams, MD
Natália Alves, MS
Gian Marco Conte, MD, PhD
Shahriar Faghani, MD
Merel Huisman, MD, PhD, MSc
John Mayfield, MD
Iwan Paolucci, PhD
Arsalan Rizwan, MD, PhD
Abhinav Suri, MPH, BA
Ali S. Tejani, MD
Michael Vannier, MD
Kareem A. Wahid, PhD
With Distinction
Nooshin Abbasi, MD, MPH
Tugba Akinci D’Antonoli, MD
Amine Amyar, PhD
Ken Chang, MD, PhD
Anthony A. Gatti, PhD
Ricardo A. Gonzales, BEng
Arsany Hakim, MD
Mauro M. Hanaoka, MD
Sarah E. Hickman, MBBS, PhD
Katharina V. Hoebel, MD, PhD
Patricia Johnson, PhD
Eduardo Moreno Júdice de Mattos Farina, MD
Bardia Khosravi, MD, MPH, MHPE
Woojin Kim, MD
Michail E. Klontzas, MD, PhD
Young Joon (Fred) Kwon, BSE, MSE, MD, PhD
Hoyeon Lee, PhD
Matthew D. Li, MD
Bahram Mohajer, MD, MPH
Vineet K. Raghu, PhD
Jeremiah W. Sanders, PhD
Arkadiusz Sitek, PhD
Stephan Ursprung, MD
John Zech, MD