Jazan University scholarship student Dr. Muhammad Mahri, from the College of Dentistry who is on a fellowship in oral and maxillofacial surgery in South Africa, has developed an algorithm that examines scientific articles related to the effect of drugs on bone fusion with medical devices. Dr. Mahri informed that the idea of ​​the research focuses on studying and evaluating the effect of drugs on bone fusion with medical devices, by examining more than 600,000 scientific papers using artificial intelligence.

He added that the aim of this study is to develop a machine learning algorithm (artificial intelligence) to self-monitor and track all published scientific papers evaluating the effect of drugs on bone fusion with medical devices such as dental implants, cochlear implants, and prosthetics.

Regarding the results of the research, Dr. Mahri confirmed that the algorithm was validated by using it on a previously published systematic review, and then it was used to examine nearly 600,000 scientific papers from which 281 scientific papers relevant to the research objective were identified, describing the effect of 31 different drugs on bone fusion. This approach achieved 95% accuracy and reduced workload by 93% compared to manual examination.