Is Artificial Intelligence the Future of Dentistry?

By now, we are all accustomed to the revolutionizing technology that Artificial Intelligence is.  For the past couple of years, we have been witnessing how this technology has changed the course of many industries, including dentistry. Here we are discussing the future of AI in dentistry.

The Current Impact Of AI In Dentistry

Before looking into the future, let’s shed light on the ways AI is being used in teledentistry. This will allow us to understand the future better.

AI Detects Periodontal Disease And Dental Decay

Traditionally, dental caries are detected through a clinical teeth examination and assessment of dental radiographs. This provides initial objective assessment, but tactile sensations assess restoration margins, tooth morphology, incipient decay, interproximal contacts, etc.

AI techniques prove to be helpful in this detection as it is known to offer a more efficient diagnostic process. It is capable of improving the quality of dental assessment by leveraging image detection, cataloguing, and segmentation.

Leveraging Natural Language Processing In The Operating

Natural language processing is a computer program’s ability to identify and scrutinize human language and process the data to execute various tasks. Additionally, voice-activated systems have been integrated as a feature to the dental imaging software that can be used to take better and precise digital dental radiographs.

The system harnesses NLP prompts; the clinician tells it what to do, and the system identifies the languages and executes the tasks. Using this AI-powered tool allows the professional to take, view, and evaluate dental images hands-free.

AI Can Diagnose Oral Cancer

Neural networks are being implemented to assess images of cancer lesion in the mouth for early detection and treatment. The survival of oral cancer depends on how early it was the diagnosis. To help with early diagnosis, AI-powered mobile apps have been developed to capture an image of an oral lesion.

Similarly, the apps incorporate deep learning, which is used for different kinds of oral lesions. This early detection of lesions can help dentists offer better care in a timely manner.

AI in Administration

AI is not merely apparent in core operational tasks, but it covers all areas of dentistry. The technology communicates with the marketing team and patients to schedule appointments, assess records of patients,  create marketing agendas, etc. Machine learning programs can be integrated with dental practice software to monitor and optimize appointments. It liaises with patients based on their appointment preferences and schedules available appointments.

Moreover, the neural network mines data and identifies the period that witnesses decreased productivity. Subsequently, come up with effective marketing campaigns.   This will help the dental office to address people in a more productive manner and get the desired results.

A Glimpse Into The Future

The integration of AI in dentistry holds the potential to extend the solution with respect to personalized and early diagnostics. It will enhance the communication between the dentists and patients and facilitate a precise analysis of the tests.

AI-integrated platforms provide excellent alternatives for diagnosing patients.

Presently orthodontic CAD is done manually based on the orthodontists’ instructions and has the potential to error. But AI-centered analysis will provide an effective setup with an accurate diagnosis and prognosis prior to and post the treatment.

Dentists who have incorporated this transformations technology are able to access more accurate, reliable, and profitable data and processes. The technology paves the way for improved access to dentistry, all-encompassing health care, improved services.

The Bottom Line

The adoption of AI is moving at a fast pace, and the technology is only growing stronger. Therefore, the faster dentists will be able to incorporate AI into their processes, the more efficient their services will be in the coming times.