Cureus, Год журнала: 2025, Номер unknown
Опубликована: Май 27, 2025
Язык: Английский
Cureus, Год журнала: 2024, Номер unknown
Опубликована: Май 7, 2024
Effective patient education and communication are integral components of quality dental care, contributing to informed decision-making, treatment compliance, positive clinical outcomes. However, traditional methods face challenges such as language barriers, anxiety, information retention issues. Artificial intelligence (AI) presents innovative solutions enhance engagement in dentistry. This review explores the transformative role AI redefining strategies, focusing on applications, benefits, challenges, future directions. A literature search identified articles from 2018 2024, encompassing empirical evidence conceptual frameworks related communication. Key findings reveal AI's potential offer personalized educational materials, virtual consultations, translation tools, reality simulations, improving understanding experience. Despite advancements, concerns about overreliance, accuracy, implementation costs, acceptance, privacy, regulatory compliance persist. Future implications suggest ability track progress, analyze feedback, streamline administrative processes, provide ongoing support, enhancing oral health ethical, regulatory, equity considerations require attention for responsible deployment widespread adoption. Overall, holds promise revolutionizing education, communication, care delivery, emphasizing need comprehensive strategies address emerging maximize benefits.
Язык: Английский
Процитировано
31
Journal of Medical Systems, Год журнала: 2025, Номер 49(1)
Опубликована: Янв. 16, 2025
Generative Artificial Intelligence (Gen AI) has transformative potential in healthcare to enhance patient care, personalize treatment options, train professionals, and advance medical research. This paper examines various clinical non-clinical applications of Gen AI. In settings, AI supports the creation customized plans, generation synthetic data, analysis images, nursing workflow management, risk prediction, pandemic preparedness, population health management. By automating administrative tasks such as documentations, reduce clinician burnout, freeing more time for direct care. Furthermore, application may surgical outcomes by providing real-time feedback automation certain operating rooms. The data opens new avenues model training diseases simulation, enhancing research capabilities improving predictive accuracy. contexts, improves education, public relations, revenue cycle marketing etc. Its capacity continuous learning adaptation enables it drive ongoing improvements operational efficiencies, making delivery proactive, predictive, precise.
Язык: Английский
Процитировано
7
Cureus, Год журнала: 2023, Номер unknown
Опубликована: Ноя. 23, 2023
The integration of artificial intelligence (AI) into dental care holds the promise revolutionizing field by enhancing accuracy diagnosis and treatment. This paper explores impact AI in care, with a focus on its applications diagnosis, treatment planning, patient engagement. AI-driven imaging radiography, computer-aided detection conditions, early disease prevention are discussed detail. Moreover, delves how assists personalized planning provides predictive analytics for care. Ethical privacy considerations, including data security, fairness, regulatory aspects, addressed, highlighting need responsible transparent approach to implementation. Finally, underscores potential collaborative partnership between professionals offer best possible patients, making more efficient, patient-centric, effective. advent dentistry presents remarkable opportunity improve oral health outcomes, benefiting both patients healthcare community.
Язык: Английский
Процитировано
42
Digital Health, Год журнала: 2024, Номер 10
Опубликована: Янв. 1, 2024
Introduction Healthcare amelioration is exponential to technological advancement. In the recent era of automation, consolidation artificial intelligence (AI) in dentistry has rendered transformation oral healthcare from a hardware-centric approach software-centric approach, leading enhanced efficiency and improved educational clinical outcomes. Objectives The aim this narrative overview extend succinct major events innovations that led creation modern-day AI applicability former dentistry. This article also prompts workers endeavor liable optimal for effective incorporation technology into their practice promote health by exploring potentials, constraints, ethical considerations Methods A comprehensive searching white grey literature was carried out collect assess data on AI, its use dentistry, associated challenges concerns. Results still evolving phase with paramount applicabilities relevant risk prediction, diagnosis, decision-making, prognosis, tailored treatment plans, patient management, academia as well concerns implementation. Conclusion upsurging advancements have resulted transformations promising outcomes across all domains futurity, may be capable executing multitude tasks domain healthcare, at level or surpassing ability mankind. However, could significant benefit only if it utilized under responsibility, ethicality universality.
Язык: Английский
Процитировано
11
Applied System Innovation, Год журнала: 2025, Номер 8(1), С. 7 - 7
Опубликована: Янв. 2, 2025
Nowadays, efficient dental healthcare systems are considered significant for upholding oral health. Also, the ability to utilize artificial intelligence evaluating complex data implies that X-ray image recognition is a critical mechanism enhance disease detection. Consequently, integrating deep learning algorithms into promising approach enhancing reliability and efficiency of diagnostic processes. In this context, an integrated model proposed performance interpretability. The basic idea augment with Ensemble methods improve accuracy robustness healthcare. model, Non-Maximum Suppression (NMS) ensembled technique employed predictions along combining outputs from multiple single models (YOLO8 RT-DETR) make final decision. Experimental results on real-world datasets show gives high in miscellaneous diseases. achieves 18% time reductions as well 30% improvements compared other competitive algorithms. addition, effectiveness achieved 74% mAP50 58% mAP50-90, outperforming existing models. Furthermore, grants degree system reliability.
Язык: Английский
Процитировано
1
Dentistry Review, Год журнала: 2025, Номер unknown, С. 100154 - 100154
Опубликована: Март 1, 2025
Язык: Английский
Процитировано
1
Bioengineering, Год журнала: 2024, Номер 11(8), С. 778 - 778
Опубликована: Июль 31, 2024
Artificial intelligence (AI) is revolutionizing dentistry, offering new opportunities to improve the precision and efficiency of implantology. This literature review aims evaluate current evidence on use AI in implant planning assessment. The analysis was conducted through PubMed Scopus search engines, using a combination relevant keywords, including "artificial implantology", "AI planning", dental implant", "implantology artificial intelligence". Selected articles were carefully reviewed identify studies reporting data effectiveness planning. results indicate growing interest application planning, with suggesting an improvement predictability compared traditional methods. summary obtained findings by included represents latest developments demonstrating its for automated detection bones, maxillary sinus, neuronal structure, teeth. However, some disadvantages also identified, need high-quality training lack standardization protocols. In conclusion, presents promising prospects improving clinical outcomes optimizing patient management. further research needed fully understand potential address challenges associated implementation practice.
Язык: Английский
Процитировано
8
Dental Traumatology, Год журнала: 2024, Номер unknown
Опубликована: Окт. 17, 2024
This study aimed to assess the validity and reliability of AI chatbots, including Bing, ChatGPT 3.5, Google Gemini, Claude AI, in addressing frequently asked questions (FAQs) related dental trauma.
Язык: Английский
Процитировано
8
BMC Oral Health, Год журнала: 2025, Номер 25(1)
Опубликована: Янв. 2, 2025
Endodontic file fractures are common complications of root canal treatment, and requires removal via specialized techniques such as endodontic microsurgery when the beyond apical foramen. It is often challenging to precisely minimally remove a fractured file. Recently use dental autonomous robotic system (ATR) has shown promise in surgery. Therefore, this case details technique for using ATR guide A 48-year-old male patient, with no evidence bone defects, was diagnosed completely foramen during treatment right maxillary lateral incisor. Patient information used incorporate digital model into preoperative planning software develop surgical strategy. The employs spatial alignment methods registration, directing arm independently locate accordance plan. To maximize invasive surgery, long removed two stages. After removing fracture file, clinician performed suturing under microscope. No were observed appeared be successful based on 9-month follow-up evaluation. enables precise localization intact cortical plates. This technology potential improve positioning accuracy, minimize need removal, reduce intraoperative time, facilitate microsurgical procedures.
Язык: Английский
Процитировано
1
Open Access Journal of Dental Sciences, Год журнала: 2024, Номер 9(1)
Опубликована: Янв. 1, 2024
This qualitative research article aims to identify digital intelligence (business intelligence) essentials among dentistry and dental clinics for their strategic management. The systematic review is based on valid secondary data using sources from Google Scholar, Scopus, Web of Science reliable online 2020-2024. researchers employed observations in collection via platforms July 2023 December 2023. content analysis Free Word Cloud Generator were adopted interpretation analysis. results reveal that since the 1950s, X-ray, imaging Artificial Intelligence (AI) have helped dentists diagnose oral diseases. Integrating use into management revolutionizes healthcare delivery by improving efficiency, personalization, accessibility appointments, marketing, communications, processes. Digital may be related marketing ethics, which involve ethical transparent promotion products, services, with integrity patient welfare mind. Marketing communications must also protect privacy. Dental obtain informed consent, maintain confidentiality, prioritize safety ensure safety, professional public confidence. AI-driven integrated human (emotional intelligence, social cognitive capabilities). Using intelligence), AI diseases, technology adoption been discussed this regarding (AI contemporary studies. explains clinics. However, paper a not include respondents. Thus, questionnaires interviews are recommended further studies perceptions insight results.
Язык: Английский
Процитировано
6