2023
DOI: 10.3390/bioengineering10070765
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The Use of Tactile Sensors in Oral and Maxillofacial Surgery: An Overview

Abstract: Background: This overview aimed to characterize the type, development, and use of haptic technologies for maxillofacial surgical purposes. The work aim is to summarize and evaluate current advantages, drawbacks, and design choices of presented technologies for each field of application in order to address and promote future research as well as to provide a global view of the issue. Methods: Relevant manuscripts were searched electronically through Scopus, MEDLINE/PubMed, and Cochrane Library databases until 1 … Show more

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Cited by 9 publications
(4 citation statements)
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“…The COVID-19 has underscored the critical need for resilient healthcare strategies, highlighting the necessity for flexible, robust approaches in oncological surgery to ensure sustained high-quality care amidst future healthcare challenges [38]. Our results will inform strategies to maintain the level of care in the face of potential future healthcare disruptions [39].…”
Section: Discussionmentioning
confidence: 90%
“…The COVID-19 has underscored the critical need for resilient healthcare strategies, highlighting the necessity for flexible, robust approaches in oncological surgery to ensure sustained high-quality care amidst future healthcare challenges [38]. Our results will inform strategies to maintain the level of care in the face of potential future healthcare disruptions [39].…”
Section: Discussionmentioning
confidence: 90%
“…AI technologies have been extensively applied in medical fields including diagnosis, treatment, surgery, screening, and epidemiology analysis due to their effectiveness and usefulness [14,[30][31][32][33][34][35][36][37]. However, they have some potential concerns in clinical practice.…”
Section: Discussionmentioning
confidence: 99%
“…The deployment of these models raises some concerns regarding potential biases in algorithmic decision making, adherence to medical regulatory frameworks, risk of hallucination, and privacy issues [23][24][25][26]. As a result, an empirical validation of their outputs still remains mandatory at this time [27]. The integration of LLMs into established healthcare infrastructures and their reliance on comprehensive high-quality datasets are non-trivial challenges that necessitate prompt and careful consideration [2].…”
Section: Discussionmentioning
confidence: 99%