About this Research Topic
Trauma is the main cause of death and disability around the world. In 2010 alone, there were 5.1 million deaths worldwide due to various types of traumas. Bone and joint fractures have the highest incidence and disability rate in trauma, and intra-articular fractures (including proximal humeral fractures, distal radius fractures, hip fractures, distal femur fractures, tibial plateau fractures, distal tibia fractures, trimalleolar fractures, etc) are often accompanied by severe comminution of the articular surface or metaphysis, which has become one of the major health problems facing the world today. With the acceleration of urbanization and complicated urban traffic, the incidence of fractures has been increasing year over year. Patients' demands for fracture treatment and high postoperative quality of life become a challenge for trauma surgeons. Artificial intelligence (AI) is an important development field today, and it has also become a key technology for the future development of medicine. AI could exert its strengths in fracture diagnosis, preoperative planning, intraoperative realization, and postoperative evaluation. In the past 20 years, basic and clinical research in the field of orthopaedics has developed rapidly. The understanding of orthopaedic diseases no longer rests on the routine diagnosis but seeks efficient and accurate insights into the distribution, morphology, and structure of bone diseases. Thus, we can scientifically determine the indications for surgery, formulate the best surgical plan, minimize surgical trauma, and restore limb function as soon as possible.
In this Research Topic, we aim to explore in depth the value of artificial intelligence technology in the diagnosis, preoperative planning, intraoperative realization, postoperative evaluation and other aspects of osteoarticular trauma management in the elderly, and to show the achievements and levels of excellence of global superior teams in this field.
The original research, review, and comments are welcomed by this Research Topic. Meta-analysis, randomized control trial, prospective/retrospective observational study, case-control study, case serial or epidemiological study could be acceptable. And the articles related to the application of AI in (but not being limited to) these osteoarticular diseases could be given priority:
● Proximal humeral fractures
● Distal radius fractures
● Hip fractures
● Distal femur fractures
● Tibial plateau fractures
● Distal tibia fractures
● Trimalleolar fractures
In this Research Topic, we aim to explore in depth the value of artificial intelligence technology in the diagnosis, preoperative planning, intraoperative realization, postoperative evaluation and other aspects of osteoarticular trauma management in the elderly, and to show the achievements and levels of excellence of global superior teams in this field.
The original research, review, and comments are welcomed by this Research Topic. Meta-analysis, randomized control trial, prospective/retrospective observational study, case-control study, case serial or epidemiological study could be acceptable. And the articles related to the application of AI in (but not being limited to) these osteoarticular diseases could be given priority:
● Proximal humeral fractures
● Distal radius fractures
● Hip fractures
● Distal femur fractures
● Tibial plateau fractures
● Distal tibia fractures
● Trimalleolar fractures
Keywords: bone and joint injuries, fracture, artificial intelligence, computer-assisted, elderly population
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