What are the challenges of implementing AI in periodontal research?

Implementing AI in periodontal research comes with its own set of challenges. First and foremost is the availability of large, high-quality datasets. AI algorithms thrive on vast amounts of data to learn and make accurate predictions, but collecting such data in the field of periodontal research can be challenging. Periodontal disease is complex, and long-term observational studies are required to gather comprehensive data. Additionally, creating standardized datasets that encompass various clinical and radiographic parameters is crucial for training AI models. Furthermore, ensuring the privacy and confidentiality of patient information while utilizing AI algorithms for analysis presents ethical and legal challenges that must be addressed. Lastly, integrating AI technology into the dental practice setting and training dental professionals in its use might require additional resources and time. Overall, these challenges must be carefully addressed for successful implementation of AI in periodontal research.
This mind map was published on 2 July 2023 and has been viewed 95 times.

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