Imaging Pearls ❯ Deep Learning ❯ Dentistry
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- ”A robust argument for AI in dentistry arises from current diagnostic deficiencies. For instance, 43% of cavities on radiographs go entirely undiagnosed, 20% of diagnosed cavities are not actually cavities, and almost 50% of periapical lesions on radiographs are overlooked.Additionally, there is a general distrust towards dentists, with only 55% trust in the accuracy of dental diagnoses, 61% of Americans surveyed saying they have switched dentists or refused treatment after a diagnosis, and 40% expressing skepticism.This distrust is further evidenced by a study from the Dental AI Council, where 136 practitioners diagnosing a single patient’s full set of radiographs found <50% diagnostic agreement, with treatment cost recommendations ranging from $300 to $36,000. A UCLA study also highlighted this issue, showing a disparity in diagnostic accuracy between students (51%) and an AI system (94%). The inconsistency in dental diagnoses is not a new issue. A 1997 Reader’s Digest article documented a journalist’s experience of receiving 50 different diagnoses from dentists across the United States, with treatment quotes ranging from $160 to $30,000. Clearly, there is a significant problem with consistency in the field. ”
What can radiologists learn from the AI evolution in Dentistry?
Ophir Tanz, Ryan C. Rizk, Seven P. Rowe, Elliot K. Fishman, Linda C. Chu
Current Problems in Diagnostic Radiology 2024 (in press) - ”Numerous studies have shown that AI tools can help improve the detection and characterization of periapical pathology and periodontitis, improve operational efficiency, and provide crucial information in treatment planning. AI also enhances patient communication. Anatomical tooth segmentation can visually demonstrate how a cavity is encroaching into the dentin, and this visual aid can potentially increase patient treatment acceptance. The principal focus, however, is not on driving production, but on establishing a higher standard of truth and addressing the widespread problem of underdiagnosis in dentistry. AI-enabled dental co-pilot can also integrate multimodal data from dental radiographs, photographs, clinical parameters, procedure codes, and unstructured clinical notes to offer action-oriented opportunities and insights to all stakeholders within a practice.”
What can radiologists learn from the AI evolution in Dentistry?
Ophir Tanz, Ryan C. Rizk, Seven P. Rowe, Elliot K. Fishman, Linda C. Chu
Current Problems in Diagnostic Radiology 2024 (in press) - ”On a daily basis, AI-driven tools are elevating the standard of care in dentistry. Beyond improving diagnostic accuracy, AI tools can also improve the operational efficiency of the practices by automating appointment scheduling, billing, and reimbursement optimization. Virtual assistants can streamline patient triage and management by highlighting the relevant radiography and diagnostic needs for each patient. These AI tools enable the dentists to focus on delivering quality dental care during their patient facing time.”
What can radiologists learn from the AI evolution in Dentistry?
Ophir Tanz, Ryan C. Rizk, Seven P. Rowe, Elliot K. Fishman, Linda C. Chu
Current Problems in Diagnostic Radiology 2024 (in press) - “As AI becomes increasingly prominent in radiology, we should look to other allied fields, such as dentistry, and learn from their successes. First, AI algorithms have the ability to interpret mountains of data and perform certain tasks which exceed human abilities. For example, AI can equal or in many cases outperform radiologists in the early detection of certain cancers, such as lung and pancreatic cancer, and is increasingly used in breast screenings. Further, AI has a promising ability to utilize radiomic features (quantitative attributes extracted from medical images into mineable high-dimensional data) to predict disease progression and treatment outcomes. Working in conjunction with radiologists, there is a strong opportunity for AI to improve diagnostic accuracy and speed of treatment intervention.”
What can radiologists learn from the AI evolution in Dentistry?
Ophir Tanz, Ryan C. Rizk, Seven P. Rowe, Elliot K. Fishman, Linda C. Chu
Current Problems in Diagnostic Radiology 2024 (in press) - “Implementation of AI into radiological practice not only has the potential to improve the rate and accuracy of image analysis, but also to perform a variety of nondiagnostic duties. Evidenced by the integration of AI with patient management systems in dentistry, there is a tremendous opportunity to enhance operational efficiency in radiology departments, although admittedly through the much more complex milieu of the electronic medical record and the radiology information system. AI can optimize scheduling, machine utilization, and patient flow, reducing wait times and improving the overall radiological operation. Further, AI’s automation of routine tasks, such as measuring tumor sizes or identifying anatomical landmarks, alleviates the monotony and workload of radiologists, allowing them to concentrate on more complex diagnostic tasks.”
What can radiologists learn from the AI evolution in Dentistry?
Ophir Tanz, Ryan C. Rizk, Seven P. Rowe, Elliot K. Fishman, Linda C. Chu
Current Problems in Diagnostic Radiology 2024 (in press)
- The integration of artificial intelligence (AI) into dental care holds the promise of revolutionizing the field by enhancing the accuracy of dental diagnosis and treatment. This paper explores the impact of AI in dental care, with a focus on its applications in diagnosis, treatment planning, and patient engagement. AI-driven dental imaging and radiography, computer-aided detection and diagnosis of dental conditions, and early disease detection and prevention are discussed in detail. Moreover, the paper delves into how AI assists in personalized treatment planning and provides predictive analytics for dental care. Ethical and privacy considerations, including data security, fairness, and regulatory aspects, are addressed, highlighting the need for a responsible and transparent approach to AI implementation. Finally, the paper underscores the potential for a collaborative partnership between AI and dental professionals to offer the best possible care to patients, making dental care more efficient, patient-centric, and effective. The advent of AI in dentistry presents a remarkable opportunity to improve oral health outcomes, benefiting both patients and the healthcare community.
A New Era of Dental Care: Harnessing Artificial Intelligence for Better Diagnosis and Treatment
Aastha Mahesh Batra , Amit Reche
Cureus 15(11): e49319. DOI 10.7759/cureus.49319 - Enhanced accuracy: AI in dentistry can process vast amounts of dental data, including X-rays, images, and patient records, with exceptional precision. AI algorithms can detect subtle abnormalities and patterns that may go unnoticed by human clinicians. This enhanced accuracy can lead to more precise and early diagnoses of dental conditions, ultimately improving patient outcomes. For example, AI can help identify cavities, gum diseases, or oral cancer at earlier stages when treatment is more effective [6].
Efficiency: AI automates various routine tasks in dental practices, such as data entry, image analysis, and appointment scheduling. This automation significantly reduces the time required for administrative work, allowing dental professionals to focus more on patient care. It also minimizes the chances of human error in tasks such as record-keeping, which can substantially impact the efficiency and accuracy of the practice [6].
A New Era of Dental Care: Harnessing Artificial Intelligence for Better Diagnosis and Treatment
Aastha Mahesh Batra , Amit Reche
Cureus 15(11): e49319. DOI 10.7759/cureus.49319 - Personalized care: AI systems can analyze a patient's dental history and health data to create highly personalized treatment plans. AI can recommend specific oral hygiene routines and preventive measures by considering individual patient needs. This tailored approach ensures that patients receive care well-suited to their unique circumstances, which can lead to improved oral health outcomes [3].
Early detection and prevention: AI-powered algorithms can detect oral health issues early. For instance, AI can identify signs of dental decay or periodontal disease before they become symptomatic. This early detection allows for timely intervention and the implementation of preventive measures. Preventing dental problems from progressing to more serious stages benefits the patient's health and can also reduce the longterm cost of treatment [7].
A New Era of Dental Care: Harnessing Artificial Intelligence for Better Diagnosis and Treatment
Aastha Mahesh Batra , Amit Reche
Cureus 15(11): e49319. DOI 10.7759/cureus.49319 - Improved patient experience: AI-driven patient engagement tools are vital in enhancing the patient experience. These tools can facilitate communication between patients and dental professionals, providing educational resources to help patients understand their treatment options and oral health. AI-driven chatbots or virtual assistants can also assist patients in scheduling appointments, sending reminders, and answering common queries, making it easier for patients to engage with their dental care. Ultimately, this improves patient satisfaction and compliance with recommended treatments and follow-up appointments
A New Era of Dental Care: Harnessing Artificial Intelligence for Better Diagnosis and Treatment
Aastha Mahesh Batra , Amit Reche
Cureus 15(11): e49319. DOI 10.7759/cureus.49319 - Image enhancement: AI algorithms can enhance dental images by improving the clarity and visibility of details. This can be particularly valuable in dental radiography, where subtle anomalies might not be easily discernible in standard images. Dental professionals can use AI for image enhancement to identify potential dental issues more effectively, even in challenging cases. Enhanced images can reveal finer details, aiding in the early detection and diagnosis of dental conditions [13]. Image analysis: AI's image analysis capabilities are crucial in automating the identification of common dental conditions. For example, AI can be trained to recognize and diagnose cavities, periodontal diseases, impacted teeth, and other dental anomalies in radiographs and intraoral images. This improves the speed and accuracy of diagnoses and ensures that dental professionals do not overlook any important findings, contributing to better patient care and outcomes [7].
Automation: AI can assist in automating various aspects of the radiographic process. This includes capturing images, positioning X-ray equipment, and ensuring image quality. Automation reduces the workload on dental staff and minimizes the potential for human error. By maintaining consistent imaging techniques and quality across different patients, AI can help produce more reliable diagnostic images and improve patient care [14].
A New Era of Dental Care: Harnessing Artificial Intelligence for Better Diagnosis and Treatment
Aastha Mahesh Batra , Amit Reche
Cureus 15(11): e49319. DOI 10.7759/cureus.49319 - In conclusion, integrating artificial intelligence (AI) into dental care marks the dawn of a transformative era. The profound impact of AI on dental diagnosis and treatment is indisputable, presenting myriad benefits. These range from elevating the precision of dental imaging and facilitating computer-aided detection and diagnosis to streamlining personalized treatment planning and predicting patient outcomes. These advancements can revolutionize dentistry, rendering it more efficient, patient-centric, and effective. However, it is imperative to emphasize the necessity for a collaborative synergy between AI and dental professionals. Specifically, it would be valuable to delve into concrete ways in which dental practitioners and AI can collaboratively ensure AI's responsible and ethical use in patient care. AI should be positioned as a complementary tool that enhances the expertise of dental practitioners rather than a replacement. By fostering a partnership between AI and dental experts, we can guarantee this technology's responsible and ethical application, upholding the highest standards of patient privacy and data security. This collaborative approach enhances patient care and contributes to a brighter and healthier future for dental practice, benefiting patients, practitioners, and the healthcare system at large.
A New Era of Dental Care: Harnessing Artificial Intelligence for Better Diagnosis and Treatment
Aastha Mahesh Batra , Amit Reche
Cureus 15(11): e49319. DOI 10.7759/cureus.49319