Developmental dysplasia of the hip (DDH) is a developmental disease with abnormal position and morphology of the acetabulum and femoral head. DDH ranges from mild dysplasia to complete dislocation, including simple acetabular dysplasia, subluxation, and total dislocation. DDH is one of the most common hip diseases in children, and its onset begins in infancy. The anatomical structure of the hip joint is complex, and there are some practical problems in the large -scale clinical diagnosis and screening work, such as heavy workload, high misdiagnosis rate and missed diagnosis rate, and a long learning period of surgery. Artificial intelligence (AI) is an emerging technology science used to research and develop theories, methods, technologies and application systems that can simulate human intelligence. The main goal is to enable machines to complete complex tasks that require human intelligence. At present, artificial intelligence is mainly used in the diagnosis and treatment of DDH. Artificial intelligence combined with X-ray or ultrasound is used to diagnose and screen DDH, which avoids subjectivity to a certain extent and improves the accuracy of diagnosis and screening. In the preoperative planning of periacetabular osteotomy and total hip arthroplasty, it can more accurately track the position of the bone block and design the size of the prosthesis, which makes the surgical planning more accurate to a certain extent. Artificial intelligence technologies such as 3D navigation system, surgical robot and robotic arm are helpful to improve the accuracy and safety of surgery. Artificial intelligence has the characteristics of simplicity, speed, high repeatability and deep learning ability, which to a certain extent saves manpower, material resources and time costs for DDH diagnosis and treatment, facilitates medical workers to share DDH diagnosis and treatment experience and reduces the burden of patients, families, society and the country. The application of artificial intelligence in DDH diagnosis and treatment is becoming more and more extensive, but at present, artificial intelligence in DDH screening is still in its preliminary stage. There are few reports on artificial intelligence technology in DDH hip preservation treatment and other surgical methods, and there is insufficient research on artificial intelligence in DDH conservative treatment, postoperative complications and prognosis prediction. It is worth exploring new ideas by researchers. At present, the application of artificial intelligence in DDH still has certain limitations, including problems such as difficult to control the quality of image data, difficult to develop and promote technology, and lack of laws and regulations. Based on the literature database and relevant data sharing network, this paper reviews the application of artificial intelligence in the diagnosis and treatment of DDH at home and abroad in recent years, summarizes the current application status of artificial intelligence in the diagnosis and treatment of DDH, and provides new ideas for the future application of artificial intelligence in the diagnosis and treatment of DDH.