We are now entering the third decade of the 21st Century, and, especially in the last years, the achievements made by scientists have been exceptional, leading to major advancements in the fast-growing field of Radiology.
Frontiers has organized a series of Research Topics to highlight the latest advancements in order to be at the forefront of science in different fields of research. This editorial initiative of particular relevance, led by Prof. Tianming Liu, Specialty Chief Editor of the Artificial Intelligence in Radiology section, is focused on new insights, novel developments, current challenges, latest discoveries, recent advances, and future perspectives in the field of Artificial Intelligence in Radiology.
The Research Topic solicits brief, forward-looking contributions from the editorial board members that describe the state of the art, outlining, recent developments and major accomplishments that have been achieved and that need to occur to move the field forward. Authors are encouraged to identify the greatest challenges in the sub-disciplines, and how to address those challenges.
The goal of this special edition Research Topic is to shed light on the progress made in the past decade in the Artificial Intelligence in Radiology field, and on its future challenges to provide a thorough overview of the field. This article collection will inspire, inform and provide direction and guidance to researchers in the field.
We are now entering the third decade of the 21st Century, and, especially in the last years, the achievements made by scientists have been exceptional, leading to major advancements in the fast-growing field of Radiology.
Frontiers has organized a series of Research Topics to highlight the latest advancements in order to be at the forefront of science in different fields of research. This editorial initiative of particular relevance, led by Prof. Tianming Liu, Specialty Chief Editor of the Artificial Intelligence in Radiology section, is focused on new insights, novel developments, current challenges, latest discoveries, recent advances, and future perspectives in the field of Artificial Intelligence in Radiology.
The Research Topic solicits brief, forward-looking contributions from the editorial board members that describe the state of the art, outlining, recent developments and major accomplishments that have been achieved and that need to occur to move the field forward. Authors are encouraged to identify the greatest challenges in the sub-disciplines, and how to address those challenges.
The goal of this special edition Research Topic is to shed light on the progress made in the past decade in the Artificial Intelligence in Radiology field, and on its future challenges to provide a thorough overview of the field. This article collection will inspire, inform and provide direction and guidance to researchers in the field.