Ayoub, A. and Pulijala, Y., 2019. The application of virtual reality and augmented reality in Oral & Maxillofacial Surgery. BMC Oral Health, 19, pp.1-8. Introduction The use of virtual reality (VR) in dentistry has many benefits including assessing anatomical regions, aiding in diagnosis, treatment planning and surgical treatment. The aim of VR is to utilise the cognitive,[…]
Paridhi, A. and Pradnya, N., 2022. Artificial Intelligence in Dentistry: Past, Present, and Future. Cureus, 14(7). The ever-evolving landscape of dentistry is witnessing a remarkable surge in the integration of artificial intelligence (AI), particularly in the specialized field of endodontics. This summary delves into the progressive role that AI plays in reshaping treatment planning and disease diagnosis[…]
Nanitsos E, Vartuli R, Forte A, Dennison PJ, Peck CC. The effect of vibration on pain during local anaesthesia injections. Aust Dent J. 2009 Jun;54(2):94-100. doi: 10.1111/j.1834-7819.2009.01100.x. PMID: 19473149. Introduction The “Gate Control Theory” of Melzack and Wall (1965) explains that pain signals sent up to the brain can be controlled from the level of[…]
Banerjee, A., Hameed, Z., Chohan, M. A., Patel, K., Vaghela, J. J., Sheikh, F., Barker, N., Shah, P., & Patel, D. (2024). Minimum intervention oral care – incentivising preventive management of high-needs/high caries-risk patients using phased courses of treatment. British dental journal, 236(5), 379–382. Minimum Intervention Oral Care (MIOC) for High-Needs Patients This article explores how MIOC[…]
Qi, J., Chen, J., Pang, Y., Guo, Y., Chen, G., Liu, Y., Wang, J. (2023) ‘Association between periodontal disease and osteoporosis in postmenopausal women: a systematic review and meta-analysis’, Heliyon, 9(11). Introduction Although women represent a significant proportion of the patient population, female representation in the fields of dental and medical research has been consistently[…]
Umer, F., Adnan, S. & Lal, A. Research and application of artificial intelligence in dentistry from lower-middle income countries – a scoping review. BMC Oral Health 24, 220 (2024). Introduction Artificial Intelligence (AI) techniques, such as Machine Learning (ML) and Deep Learning (DL), hold promise in revolutionising dental diagnostics by improving accuracy and efficiency. Trained[…]
Elchaghaby, M., Aly, M. & Yousry, Y. Effectiveness of buccal infiltration anaesthesia compared to inferior alveolar nerve block anaesthesia in primary mandibular molar extractions: a randomised controlled study. Br Dent J (2023). Introduction The successful management of pain through local anaesthetic in dental treatment greatly impacts children’s perceptions of dental care. However, despite advancements in[…]
Ethical issues of artificial intelligence in medicine and healthcare. Farhud DD, Zokaei S. Iran J Public Health. 2021;50:0 Introduction The term “Artificial Intelligence (AI)” itself is quite broad in that it can be used to describe any piece of software or device with cognitive abilities; similar to those of humans. With the increasing prevalence of[…]
Duane, B., Croasdale, K., Ramasubbu, D. et al. Environmental sustainability: measuring and embedding sustainable practice into the dental practice. Br Dent J 226, 891–896 (2019). Background Sustainability within Dentistry is a key and current issue that needs to be addressed with climate change approaching faster than first predicted. International support is growing around this topic with the FDI recently[…]
Bhamra, I. B., Gallagher, J. E., Patel, R. (2023) ‘Telehealth technologies in care homes: a gap for dentistry?’, Journal of Public Health, fdad258 Introduction Care home residents are often individuals who require additional care and are dependent on others for carrying out activities of daily living. Studies have found that nursing homes do not prioritise[…]