AI in Orthodontics: Revolutionizing Diagnostics and Treatment Planning-A Comprehensive Review.

The advent of artificial intelligence (AI) in medicine has transformed various medical specialties, including orthodontics. AI has shown promising results in enhancing the accuracy of diagnoses, treatment planning, and predicting treatment outcomes. Its usage in orthodontic practices worldwide has increased with the availability of various AI applications and tools. This review explores the principles of AI, its applications in orthodontics, and its implementation in clinical practice. A comprehensive literature review was conducted, focusing on AI applications in dental diagnostics, cephalometric evaluation, skeletal age determination, temporomandibular joint (TMJ) evaluation, decision making, and patient telemonitoring. Due to study heterogeneity, no meta-analysis was possible. AI has demonstrated high efficacy in all these areas, but variations in performance and the need for manual supervision suggest caution in clinical settings. The complexity and unpredictability of AI algorithms call for cautious implementation and regular manual validation. Continuous AI learning, proper governance, and addressing privacy and ethical concerns are crucial for successful integration into orthodontic practice.

Skeletal facial asymmetry: reliability of manual and artificial intelligence-driven analysis.

OBJECTIVES: To compare artificial intelligence (AI)-driven web-based platform and manual measurements for analysing facial asymmetry in craniofacial CT examinations. METHODS: The study included 95 craniofacial CT scans from patients aged 18-30 years. The degree of asymmetry was measured based on AI platform-predefined anatomical landmarks: sella (S), condylion (Co), anterior nasal spine (ANS), and menton (Me). The concordance between the results of automatic asymmetry reports and manual linear 3D measurements was calculated. The asymmetry rate (AR) indicator was determined for both automatic and manual measurements, and the concordance between them was calculated. The repeatability of manual measurements in 20 randomly selected subjects was assessed. The concordance of measurements of quantitative variables was assessed with interclass correlation coefficient (ICC) according to the Shrout and Fleiss classification. RESULTS: Erroneous AI tracings were found in 16.8% of cases, reducing the analysed cases to 79. The agreement between automatic and manual asymmetry measurements was very low (ICC < 0.3). A lack of agreement between AI and manual AR analysis (ICC type 3 = 0) was found. The repeatability of manual measurements and AR calculations showed excellent correlation (ICC type 2 > 0.947). CONCLUSIONS: The results indicate that the rate of tracing errors and lack of agreement with manual AR analysis make it impossible to use the tested AI platform to assess the degree of facial asymmetry.

Comparison of Three Commercially Available, AI-Driven Cephalometric Analysis Tools in Orthodontics.

Background: Cephalometric analysis (CA) is an indispensable diagnostic tool in orthodontics for treatment planning and outcome assessment. Manual CA is time-consuming and prone to variability. Methods: This study aims to compare the accuracy and repeatability of CA results among three commercial AI-driven programs: CephX, WebCeph, and AudaxCeph. This study involved a retrospective analysis of lateral cephalograms from a single orthodontic center. Automated CA was performed using the AI programs, focusing on common parameters defined by Downs, Ricketts, and Steiner. Repeatability was tested through 50 randomly reanalyzed cases by each software. Statistical analyses included intraclass correlation coefficients (ICC3) for agreement and the Friedman test for concordance. Results: One hundred twenty-four cephalograms were analyzed. High agreement between the AI systems was noted for most parameters (ICC3 > 0.9). Notable differences were found in the measurements of angle convexity and the occlusal plane, where discrepancies suggested different methodologies among the programs. Some analyses presented high variability in the results, indicating errors. Repeatability analysis revealed perfect agreement within each program. Conclusions: AI-driven cephalometric analysis tools demonstrate a high potential for reliable and efficient orthodontic assessments, with substantial agreement in repeated analyses. Despite this, the observed discrepancies and high variability in part of analyses underscore the need for standardization across AI platforms and the critical evaluation of automated results by clinicians, particularly in parameters with significant treatment implications.

Correlation Analysis of Nasal Septum Deviation and Results of AI-Driven Automated 3D Cephalometric Analysis.

The nasal septum is believed to play a crucial role in the development of the craniofacial skeleton. Nasal septum deviation (NSD) is a common condition, affecting 18-65% of individuals. This study aimed to assess the prevalence of NSD and its potential association with abnormalities detected through cephalometric analysis using artificial intelligence (AI) algorithms. The study included CT scans of 120 consecutive, post-traumatic patients aged 18-30. Cephalometric analysis was performed using an AI web-based software, CephX. The automatic analysis comprised all the available cephalometric analyses. NSD was assessed using two methods: maximum deviation from an ideal non-deviated septum and septal deviation angle (SDA). The concordance of repeated manual measurements and automatic analyses was assessed. Of the 120 cases, 90 met the inclusion criteria. The AI-based cephalometric analysis provided comprehensive reports with over 100 measurements. Only the hinge axis angle (HAA) and SDA showed significant (p = 0.039) negative correlations. The rest of the cephalometric analyses showed no correlation with the NSD indicators. The analysis of the agreement between repeated manual measurements and automatic analyses showed good-to-excellent concordance, except in the case of two angular measurements: LI-N-B and Pr-N-A. The CephX AI platform showed high repeatability in automatic cephalometric analyses, demonstrating the reliability of the AI model for most cephalometric analyses.

Radial sesamoid fracture of the second MCP joint - a case report.

A fracture of the sesamoid bone of the hand is rarely seen. In most cases, it is strictly associated with the trauma. The patient complains of a long-lasting, due to unclear diagnosis, painful swelling of the joint with an inability to flex the affected finger. Limited blood supply makes the untreated fracture prone to avascular necrosis. Thus, it is extremely important to make a proper diagnosis early. Bilateral comparing the affected areas with ultrasonography seems to be the method of choice. The treatment is conservative or surgical when needed. We present a case of a radial sesamoid fracture of the second metacarpophalangeal joint without a history of trauma.

Sonography of pathological changes in the hand.

Everyday medical practice shows that most common problems within the hand result from overload, injuries and degeneration. Dorsal side pathologies such as de Quervain's and Wartenberg's disease, intersection syndrome or degenerative lesions of carpometa-carpal joint of the thumb discussed in the paper can be accurately diagnosed and differentiated by means of ultrasound examination. Ultrasound is similarly powerful in detection and grading of traumatic lesions involving extensor tendons and their sagittal bands or the flexor tendons and their pulleys. In the case of carpal tunnel syndrome one can not only visualize the median nerve but also other structures of the tunnel that may cause compression. Similarly ulnar nerve compression within the Guyon's canal can be well evaluated. In cases of nerve trauma one can precisely define the level, and in cases of nerve discontinuity, the distance between stumps can be measured which is important in surgery planning. Often nerve trauma is a sequelae of tendon reconstruction. In such cases scars and nerve entrapment can be depicted. Tumors within a hand are usually benign, of which the most common are ganglia. On ultrasound examination a connection between a ganglion and its source (usually a joint or sheath) can frequently be defined. The relationship of tumors to nerves, tendon sheaths or vessels may suggest their nature. Ultrasound with dynamic tissue assessment is a very valuable adjunct to clinical examination.

Ultrasonographic diagnostics of pain in the lateral cubital compartment and proximal forearm.

Pain in the lateral compartment of the elbow joint and decreased strength of the extensor muscle constitute a fairly common clinical problem. These symptoms, occurring in such movements as inverting and converting the forearm, pushing, lifting and pulling, mostly affect people who carry out daily activities with an intense use of wrist, e.g. work on computer. Strains in this area often result from persistent overload and degeneration processes of the common extensor tendon and the radial collateral ligament. Similar symptoms resulting from the compression of deep branch of the radial nerve in radial nerve tunnel should be remembered as well. It happens that both conditions occur simultaneously. A proper diagnosis is essential in undertaking an effective treatment. Ultrasonography is a non-invasive method and the application of high-end apparatus with heads of frequencies exceeding 12 MHz allows for a precise evaluation of joint structures, tendons and nerves. In case of the so-called tennis elbow, the examination allows for evaluation of the degree and extent of injury to the radial collateral ligament and common extensor tendon, in addition to the presence of blood vessels in inflicted area. Administration of autologous blood platelets concentrate containing growth factors, used in treatment of tennis elbow, is performed under ultrasound image control conditions. This allows for a precise incision of scar whilst keeping a healthy (unaffected) tissue margin to form fine channels enabling the penetration of growth factors. Post-surgery medical check-up allows for the evaluation of treatment effectiveness. In radial nerve tunnel syndrome, the ultrasound examination can reveal abnormalities in the deep branch of the radial nerve and within the anatomical structures adjacent to the nerve in the radial nerve tunnel. Furthermore, the ultrasound examination allows for detection of other articular and extraarticular pathologies, which affect the compression of the deep branch of radial nerve, such as skeletal deformations, post-traumatic changes, arthritis, and the presence of tumors. The ultrasonography is also helpful in differentiation of symptoms arising from cervical radiculopathy or brachial plexus injury.