{"id":20203,"date":"2025-05-22T15:32:25","date_gmt":"2025-05-22T18:32:25","guid":{"rendered":"https:\/\/cursosonline.cbr.org.br\/?post_type=product&p=20203"},"modified":"2026-07-03T12:05:20","modified_gmt":"2026-07-03T15:05:20","slug":"webinar-padi-os-desafios-da-qualidade-com-a-ia","status":"publish","type":"product","link":"https:\/\/cursosonline.cbr.org.br\/en\/curso\/webinar-padi-os-desafios-da-qualidade-com-a-ia\/","title":{"rendered":"Padi Webinar - Quality challenges with AI"},"content":{"rendered":"
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Discover how artificial intelligence can transform the management of radiology clinics, promoting greater operational efficiency and ensuring the quality of services. The talk will cover practical applications of AI in optimizing processes such as exam scheduling, resource management, predictive equipment maintenance and cost control. The main challenges for implementing this technology will also be discussed, including the costs involved, integration with existing systems and regulatory compliance requirements, as well as presenting a vision of the future of AI's strategic role in healthcare.<\/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<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Speaker<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Having trouble accessing the training?<\/strong><\/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<\/div>\n\t\t\t\t

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\u00a0<\/p>

\u00a0<\/p>

Certificate upon payment of an administrative fee.<\/span><\/em><\/p>

\u00a0<\/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<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"

GENERAL INFORMATION
\nWorkload:<\/strong>\u00a01 hour
\nLive Webinar | Online<\/strong>
\nMay 29th at 19:30 (Bras\u00edlia time)<\/strong><\/p>\n

Analysis of the impact of artificial intelligence on the management of radiology clinics, with a focus on process automation, resource optimization and predictive maintenance. Implementation challenges will be discussed, such as systemic integration, costs and regulatory compliance, with a view to a strategic and sustainable application of the technology.<\/p>\n

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