A system, comprising: a memory that stores computer executable components; and a processor that executes the computer executable components stored in the memory, wherein the computer executable components comprise: a reception component that receives one or more scout images captured of an anatomical region of a patient in association with performance of a computed tomography scan of the anatomical region of the patient, wherein the anatomical region comprises one or more organs; and a dose estimation component that employs one or more first machine learning models to estimate, based on the one or more scout images, expected organ doses representative of expected radiation doses exposed to the one or more organs under different automatic exposure control patterns for the computed tomography scan, a quality estimation component that employs one or more second machine learning models to estimate, based on the one or more scout images, expected measures of image quality in a target region and a background region of computed tomography scans captured under the different automatic exposure control patterns, an optimization component that determines, an optimal automatic exposure control pattern of the different automatic exposure control patterns for the performance of the computed tomography scan based on the expected organ doses and the expected measures of image quality in a target region, wherein the optimal automatic exposure control pattern maximizes image quality in the target region and minimizes radiation doses to the organs. a memory that stores computer executable components; and a processor that executes the computer executable components stored in the memory, wherein the computer executable components comprise: a reception component that receives one or more scout images captured of an anatomical region of a patient in association with performance of a computed tomography scan of the anatomical region of the patient, wherein the anatomical region comprises one or more organs; and a dose estimation component that employs one or more first machine learning models to estimate, based on the one or more scout images, expected organ doses representative of expected radiation doses exposed to the one or more organs under different automatic exposure control patterns for the computed tomography scan, a quality estimation component that employs one or more second machine learning models to estimate, based on the one or more scout images, expected measures of image quality in a target region and a background region of computed tomography scans captured under the different automatic exposure control patterns, an optimization component that determines, an optimal automatic exposure control pattern of the different automatic exposure control patterns for the performance of the computed tomography scan based on the expected organ doses and the expected measures of image quality in a target region, wherein the optimal automatic exposure control pattern maximizes image quality in the target region and minimizes radiation doses to the organs. a reception component that receives one or more scout images captured of an anatomical region of a patient in association with performance of a computed tomography scan of the anatomical region of the patient, wherein the anatomical region comprises one or more organs; and a dose estimation component that employs one or more first machine learning models to estimate, based on the one or more scout images, expected organ doses representative of expected radiation doses exposed to the one or more organs under different automatic exposure control patterns for the computed tomography scan, a quality estimation component that employs one or more second machine learning models to estimate, based on the one or more scout images, expected measures of image quality in a target region and a background region of computed tomography scans captured under the different automatic exposure control patterns, an optimization component that determines, an optimal automatic exposure control pattern of the different automatic exposure control patterns for the performance of the computed tomography scan based on the expected organ doses and the expected measures of image quality in a target region, wherein the optimal automatic exposure control pattern maximizes image quality in the target region and minimizes radiation doses to the organs.