Medical imaging examination,as a commonly used diagnostic and therapeutic method in clinical practice,can reflect the morphology and function of human tissues and organs,and plays an important role in the diagnosis and prognosis of clinical diseases.In clinical practice,the diagnosis and treatment of medical imaging rely more on radiologists reading films.Although it can meet the needs of diagnosis and treatment,it is influenced by the experience and subjective factors of radiologists,resulting in biased diagnostic results and increasing the workload of radiologists.Artificial intelligence(AI)refers to any agent or device that can perceive and understand its surrounding environment,take appropriate actions,and maximize its goals.Therefore,AI has the characteristics of machines and intelligent devices,which can automatically predict and calculate based on corresponding data,achieving autonomous learning.The use of AI technology in medical imaging diagnosis can improve the accuracy and efficiency of radiologists,and provide better medical services for patients.This review will take medical imaging as the starting point,analyze the role of AI in medical imaging diagnosis and treatment,explore the value and advantages of this method in commonly used imaging,and provide new methods for patient diagnosis and treatment.
Medical imaging examinationArtificial intelligenceAuxiliary diagnosis and treatmentRadiologist reading filmSubjective factors
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