A member of the Artificial Intelligence and Data Science Commission of the Computer Guild of Tehran Province announced the design of one of the first international artificial intelligence infrastructures in the field of health and said: This infrastructure, with the ability to interact in 12 living languages of the world, will provide services to more than five billion people.
According to the Public Relations of Radio Salamat, Hossein Mozaffarin Hosseini, a member of the Artificial Intelligence and Data Science Commission of the Computer Guild of Tehran Province, announced this news on the "Noyar" program: Our activity began in 1403 with the design of disease diagnostic models. The first model for diagnosing MS was based on brain MRI, which was among the top companies in the Isfahan Elite Foundation competitions. This success became the starting point for the development of other models.
Referring to the wide range of applications of this technology in the health sector, he added: "To date, we have designed about 15 diagnostic models, including the diagnosis of knee injuries, brain tumors, liver tumors, colon polyps, mammography, retina, bone age from radiology, and processing of blood tests."
Emphasizing that this platform acts as an assistant to doctors, Hosseini said: "The accuracy of our models is between 90 and 97 percent, and our goal is to increase the speed and accuracy of diagnosis by doctors. We have not designed this infrastructure for direct use by the general public, but rather we are seeking to create an auxiliary tool for doctors."
He continued: "We have not only used image processing, but also benefited from other parts of artificial intelligence; including recommender systems that advise the patient what actions to take after diagnosing the disease and which doctor to see."
Introducing the “Viramed” platform, Hosseini said: The infrastructure designed under the brand name Viramed includes appointment services, online audio, video and text consultations, health tourism, sales of medical equipment and treatment recommendation systems. The platform is in talks with hospitals for an official launch in the fall.
He emphasized: This infrastructure is not designed for direct public use, but acts as a physician assistant to improve the accuracy and speed of diagnosis. Our goal is to develop this infrastructure to more than 100 diagnostic models and provide broader services to the dear people of our country and the global community.
In the end, a member of the Artificial Intelligence and Data Science Commission of the Computer Guild of Tehran Province expressed his gratitude to the development team and project partners and expressed his hope that this system could be an effective step in improving public health and digital transformation in the country’s medical field.
