Retrospective Study Evaluates AI-Assisted Dental Implant Planning in Edentulous Patients — Clinical Validation of Digital Workflow

References

1. 1.St. Petersburg State Pavlov Medical University. (2024). Retrospective Reader Study of AI-Assisted Implant Planning Using Cone-Beam Computed Tomography Data in Edentulous Patients. ClinicalTrials.gov. NCT07597785. https://clinicaltrials.gov/study/NCT07597785
2. 2.Chrcanovic, B. R., Albrektsson, T., & Wennerberg, A. (2014). Reasons for failures of oral implants. Journal of Oral Rehabilitation, 41(6), 443-476. https://doi.org/10.1111/joor.12171
3. 3.Tahmaseb, A., Wismeijer, D., Coucke, W., & Derksen, W. (2014). Computer technology applications in surgical implant dentistry: a systematic review. International Journal of Oral and Maxillofacial Implants, 29(Supplement), 25-42. https://doi.org/10.11607/jomi.2014suppl.g3.2
4. 4.Australian Institute of Health and Welfare. (2023). Oral health and dental care in Australia. AIHW. https://www.aihw.gov.au/reports/dental-oral-health/oral-health-and-dental-care-in-australia
5. 5.Therapeutic Goods Administration. (2023). Software as Medical Device: Guidance for industry. Australian Government Department of Health. https://www.tga.gov.au/resources/guidance/guidance-documents/software-medical-device-guidance-industry