1,720,957 research outputs found
Revolutionizing dentistry: the integration of artificial intelligence and robotics
Full text linkTechnology is rapidly transforming traditional practices in modern healthcare. One area that stands out is the convergence of Artificial Intelligence (AI) and robotics, revolutionizing dentistry. This powerful combination enhances precision, efficiency, and patient outcomes in oral health care while reducing potential errors.
AI, with its ability to analyze large amounts of data and identify intricate patterns, has found a place in dentistry. Its applications range from diagnostic tools and treatment planning to personalized medicine and patient management.1 By utilizing advanced imaging techniques, AI assists in the early detection of oral diseases,2 enabling proactive intervention and improving prognosis. The integration of AI into orthodontics and endodontics has radically transformed the field of dental care. In orthodontics, AI and Machine Learning systems support orthodontists in making informed decisions, particularly regarding tooth extraction. AI-driven custom orthodontic treatments minimize subjectivity and improve decision-making processes by utilizing neural networks to predict the extraction outcomes. AI is used throughout orthodontic procedures, from diagnosis to personalized treatment planning, utilizing 3D scans and virtual models to assess abnormalities, produce aligners, and optimize tooth removal strategies.3 Similarly, in endodontics, AI enhances root canal therapy by enabling precise anatomical analysis, lesion detection, fracture identification, stem cell viability prediction, and assessment of treatment efficacy.4 The contributions of AI in both orthodontics and endodontics have resulted in increased efficiency, accuracy, and improved patient outcomes, showcasing significant advancements in dental healthcare.
AI also plays a critical role in posttreatment patient monitoring, ensuring timely intervention, and improving recovery. Through continuous data analysis and feedback, AI facilitates long-term oral health management, empowering patients and practitioners with proactive insights into sustained well-being. By integrating AI, dental experience is enhanced by combining cutting-edge technology with personalized care that redefines standards in dental health and treatment protocols. Furthermore, AI algorithms streamline administrative processes, optimize scheduling, and enhance patient experience, thereby improving the overall operational efficiency.5
The capabilities of robotics in dentistry have complemented those of AI, unlocking new frontiers in precision and minimally invasive procedures.6 Robotics provide unparalleled dexterity and control during surgery, resulting in superior outcomes and quicker recovery times for patients. These technological marvels not only enhance the skill set of dental professionals, but also expand access to care in remote or underserved areas. Advancements in technology and computer science have pushed the integration of robotics into navigational surgery in various medical fields. This progress is now being extended to dentistry, where innovative technologies are revolutionizing traditional dental procedures. Robotics-assisted dentistry, employing nanomaterials, nanorobots, and advanced diagnostic tools, is evolving to address the complex procedures necessary for oral healthcare maintenance and lesion removal. These advanced systems are reshaping conventional practices in dentistry, particularly implant therapy, challenging existing paradigms, and expanding the capabilities of practitioners.7
One notable development in robot-assisted dentistry is the creation of micro robots (MR), designed to enhance the precision and efficiency of endodontic treatments, specifically root canal therapy. These advanced robots autonomously perform tasks such as drilling, cleaning, shaping, and filling the root canal system under the supervision of cutting-edge computer-assisted technologies. By integrating various components, such as micro position controllers, sensors, and automated tools, the MR ensures error-free procedures, reduces discomfort for dentists, and enhances treatment outcomes with unparalleled accuracy.8
Furthermore, nanomaterials and nanorobots play a crucial role in enabling the creation of nanorobots for various dental applications such as tooth repair, drug delivery, orthodontic adjustments, and cavity treatments. These minuscule robots offer swift and precise dental care interventions, illustrating their potential to revolutionize traditional dental practices. Additionally, robotic applications in oral and maxillofacial surgery enhance surgical precision by allowing surgeons to program robots for specific tasks, such as bone surgeries and plate positioning.9 As technology continues to advance, the integration of robotics into dentistry promises to reshape the field, offering new possibilities for enhanced patient care and treatment outcomes.
The fusion of robotics with AI algorithms holds promise for a future in which complex dental procedures are conducted with unprecedented accuracy and safety. Although the potential benefits of AI and robotics in dentistry are immense, their integration is not devoid of challenges. Ensuring data security, maintaining patient privacy, and addressing ethical concerns surrounding autonomy and decision making are crucial considerations in this rapidly evolving landscape. With appropriate regulations and ethical guidelines in place, the dental community can harness the full potential of these technologies, while upholding the highest standards of patient care and professional integrity.
As we stand on the cusp of a new era in oral healthcare, characterized by the symbiotic relationship between human expertise and technological prowess, it is imperative for stakeholders to embrace innovation responsibly.10 Collaborative efforts among researchers, clinicians, technologists, and policymakers will be vital in harnessing the transformative power of AI and robotics to chart a course towards a future where dental treatments are not only effective but also personalized, efficient, and accessible to all.
The integration of AI and robotics in dentistry heralds a paradigm shift in the delivery and reception of oral healthcare services. By leveraging these cutting-edge technologies thoughtfully and ethically, the dental community can elevate standards of care, expand treatment options, and improve patient outcomes, as well as redefine the future of dentistry
Metaverse: a promise avenue for enhancing dental care
Full text linkThe healthcare industry has consistently recognized the significance of routine in-person engagement with patients in evaluating their holistic well-being. However, the onset of the COVID-19 pandemic disrupted this traditional methodology, prompting healthcare providers to seek feasible alternatives. Consequently, the industry is increasingly embracing remote care technologies like telehealth and the implementation of artificial intelligence. These technologies utilize digital tools for information and communication, enabling the remote delivery of healthcare services.1 As a result, there has been a surge in healthcare advancements and the adoption of innovative business models, utilizing computer-mediated virtual environments as an alternative healthcare system. Currently, digital transformation extends beyond virtual communication, encompassing the digitalization of the healthcare industry's social network with Metaverse technology.2
The Metaverse, facilitated by virtual reality and augmented reality, provides a comprehensive and immersive virtual realm. In this virtual world, people can interact online by using avatars. This technology has numerous applications in clinical dentistry. It is used for distraction therapy during dental surgeries and virtual simulations for implant surgery planning. The technology provides accurate descriptions of dental anatomy and supports augmented reality-assisted navigation for osteogenesis and mandibular restorations, along with virtual orthognathic planning.3 Furthermore, while conducting a root canal procedure with the aid of three-dimensional images, it is possible to directly observe the canal's morphology or precisely position an implant in the appropriate location within the alveolar bone.4Additionally, neurosurgeons have achieved successful augmented reality surgeries on live patients in medical facilities.The procedure involves a unique head-mounted device equipped with a transparent display, allowing surgeons to view images of the patient's internal anatomy, such as bones and other tissues, generated from CT scans. This revolutionary technology essentially provides surgeons a type of X-ray vision, enabling them to navigate and perform surgeries with enhanced precision and accuracy. These pioneering advancements in surgical techniques represent significant developments in the field of neurosurgery.5
Metaverse technology is expected to permit and maintain oral and dental health by offering personalized recommendations, tracking health behaviors, monitoring symptoms, and providing self-care guidance.6 Young individuals can actively participate in a virtual environment that facilitates the acquisition of oral hygiene techniques and reduces dental anxiety. Moreover, this technology can inform patients about dental trauma and guide them on the appropriate measures to take in the event of such incidents.7 This writeup underscores the extensive research conducted on this topic, and highlighting the transformative potential of this technology in dentistry.
The Metaverse has the potential to revolutionize the dental care sector by utilizing virtual communication to connect specialists with end users. This could enable the seamless delivery of a variety of medical services, including disease prevention, diagnosis, and treatment, ushering in a new era of comprehensive care
The Potential Association between Tuberculosis and Periodontitis: Implications for Public Health
Full text linkTuberculosis and periodontitis are two chronic diseases that have traditionally been viewed as unrelated. However, emerging research indicates a potential association between these conditions, which are significant public health concerns. Tuberculosis, caused by Mycobacterium tuberculosis, primarily affects the lungs but can manifest systemically. Periodontitis is a chronic inflammatory disease of the supporting tissues of the teeth, driven by oral pathogens. Both diseases share common risk factors such as smoking, diabetes, malnutrition, and HIV co-infection, which may exacerbate the bidirectional relationship between the immune system and systemic inflammation. This paper explores the potential pathophysiological connections between tuberculosis and periodontitis and discusses the implications for public health strategies. A literature review was conducted to identify studies linking tuberculosis and periodontitis, focusing on shared immunological pathways, risk factors, and systemic inflammatory processes. Epidemiological studies examining co-occurrence of the diseases in high-risk populations were also analyzed. The findings suggest that chronic inflammation caused by periodontitis may exacerbate systemic conditions like tuberculosis by increasing levels of circulating inflammatory markers, such as C-reactive protein, IL-6, and TNF-α. Likewise, individuals with tuberculosis may have a weakened immune system, increasing their susceptibility to periodontal infections. Shared risk factors, particularly smoking, diabetes, and malnutrition, further amplify the burden of both diseases. The immunological dysregulation present in tuberculosis, particularly in the case of immune exhaustion, may impair the body’s response to periodontal pathogens, leading to worse oral health outcomes. By adopting a more integrated approach to patient care, dental professionals can help mitigate the systemic impacts of these diseases, reduce the burden of tuberculosis in affected populations, and improve overall patient outcomes
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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