Iranian Knowledge-Based Firm Uses AI to Analyze Medical Documents
“We are active in the field of software development and artificial intelligence applications. One of our products is a website designed for ordinary people,” said Ali Amani, the managing director of the company.
“On this platform, the users can upload their medical documents and artificial intelligence performs analyses for them. The outputs include the probabilities of developing various diseases, the causes of these diseases, medical recommendations, and introducing relevant specialists,” he added.
“This product can also be provided in an organizational form. In the organizational section, we provide organizations with a dashboard where personnel data is entered, including medical information, tests, examinations, job information, and other items. Then, comprehensive and combined analyses are performed on personnel’s medical records and past records,” Amani said.
“Artificial intelligence in this project, as an auxiliary tool, practically plays an additional role in the flexibility and facilitation of occupational health and safety processes of organizations,” he noted.
In a relevant development in June, Iranian students at Sharif University of Technology’s Bioinformatics department had also designed a system by using artificial intelligence to help doctors diagnose and manage strokes more quickly and accurately.
“The system we have designed collects patient imaging data, including CT scans, MRIs, and angiographies, and provides remote access to specialist doctors. With the help of artificial intelligence algorithms, this technology automatically analyzes the patient's brain images and provides vital information about the severity of the stroke, the extent of damage, and the exact location of the brain involvement,” said Abolfazl Malek Ahmadi, a master's student in Bioinformatics at Sharif University of Technology.
“This tool helps doctors make decisions in the shortest possible time and choose the best treatment course. In addition to integrating patient data, this software also paves the ground for monitoring the treatment process. The physician can optimize the patient’s treatment process by selecting a monitoring algorithm from among the available options. This capability accelerates decision-making on treatment methods, including drug therapy, medical interventions, or surgical procedures,” he added.
“At present, the MVP (minimum product) version of this system is being evaluated in a number of hospitals in Iran. If this stage succeeds, the commercialization process will start and this technology can be widely used in hospitals across the country,” Malek Ahmadi said.
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