{"id":3340,"date":"2025-06-10T16:02:47","date_gmt":"2025-06-10T12:32:47","guid":{"rendered":"https:\/\/iranhealth.org\/en\/?p=3340"},"modified":"2025-06-15T16:05:50","modified_gmt":"2025-06-15T12:35:50","slug":"artificial-intelligence-in-healthcare-must-keep-pace-with-regulation","status":"publish","type":"post","link":"https:\/\/iranhealth.org\/en\/artificial-intelligence-in-healthcare-must-keep-pace-with-regulation\/","title":{"rendered":"Artificial Intelligence in Healthcare Must Keep Pace with Regulation"},"content":{"rendered":"\t\t
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Artificial Intelligence in Healthcare Must Keep Pace with Regulation<\/span><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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June 10, 2025 \u2013 At the \u201cAI in the Pulse of Medical\nEquipment\u201d panel and training session, organized by the Iranian Syndicate of\nMedical Equipment Exporter, Gholamreza Azimi emphasized that while artificial\nintelligence is now capable of significantly reducing diagnostic and\ntherapeutic errors in healthcare, regulators must not lag behind these\ntechnological advancements.<\/p>

Azimi pointed out that there are three key management\nstandards that professionals need to understand, highlighting the importance of\nevaluating the systems in use and their respective benefits and risks. He\nreferenced the growing influence of AI in healthcare since the 1970s, including\nits role in bacterial infection diagnostics, drug development, and vaccine\ndesign, such as for HIV.<\/p>

He noted that AI is revolutionizing diagnostics,\nparticularly in reducing medication dosage errors and optimizing treatment pathways.\nSharing a personal experience, Azimi described how a virtual assistant provided\ncritical treatment information for his mother\u2019s breast cancer, outperforming\ntraditional consultations by referencing protocols and accumulated expertise.<\/p>

Azimi stressed the transformative power of smart tools\nthat can transmit patient data in real time to central platforms, enabling\nalgorithms to learn from vast datasets and improve diagnostic accuracy. He also\nreferenced the successful use of language models like GPT by pathologists in\nLorestan for more precise pathology reports, and sonographers who now detect\nsmaller stones with the help of AI.<\/p>

He cautioned that while many clinicians remain\nskeptical, his own experience showed that AI systems, when provided with comprehensive\ndata, can generate more effective treatment plans than those relying solely on\nphysician memory. Azimi urged the acceptance of AI tools among medical\nprofessionals, which would encourage investors and health sector stakeholders\nto advance a comprehensive digital health ecosystem.<\/p>

He further explained that AI processes\u2014from data input\nto output\u2014are managed through complex matrices and algorithms, requiring robust\ncomputational infrastructure and strong collaboration among ministries to\nintegrate hospital information systems (HIS). Although challenges such as data\nprivacy remain, Azimi emphasized that they must not hinder technological\nprogress.<\/p>

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He concluded that, if health technologies are reported\naccurately and media coverage remains focused, artificial intelligence can\ntransform the healthcare system and drive meaningful change across the sector.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

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