Utilizing AI-Based Medical Devices To Enhance Diagnosis And Treatment Of Oral Diseases: Challenges And Future Outlook For Dentists, Nurses, And Pharmacists

Abstract

Background: This research investigates into the application of artificial intelligence (AI) inside medical devices to enhance the diagnosis and treatment of oral diseases. It examines the hurdles encountered by dentists, nurses, and pharmacists when integrating AI-based technologies into their clinical settings.

Methods: A comprehensive investigation was directed to analyze the current landscape of AI applications in oral healthcare. Data collection involved surveys, interviews, and literature reviews to gather perspectives from healthcare professionals regarding the challenges and opportunities associated with AI implementation.

Results: The study explains the complex challenges faced by healthcare professionals in accepting AI-driven solutions in oral he[1]althcare. These challenges include issues related to data privacy, trust in AI algorithms, integration with existing workflows, and the need for specialized training. Despite these obstacles, there is a growing recognition of the potential benefits of AI in enhancing diagnostic accuracy, treatment efficacy, and patient outcomes.

Discussion: The findings highlight the importance of addressing the concerns of healthcare professionals regarding the integration of AI into oral healthcare practice. Strategies for overcoming barriers, such as tailored education and training programs, interdisciplinary collaboration, and regulatory frameworks, are discussed. Moreover, the study highlights the promising future outlook of AI in oral healthcare and its potential to revolutionize the roles and responsibilities of healthcare professionals.