How does artificial intelligence impact digital healthcare initiatives? A review of AI applications in dental healthcare

Mahdi, Syed Sarosh; Battineni, Gopi; Khawaja, Mariam; Allana, Raheel; Siddiqui, Maria K; Agha, Daniyal

doi:10.1016/j.jjimei.2022.100144

Cited by 39 publications

(20 citation statements)

References 61 publications

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“…Using influencing factors revealed in this study, pilot testing of a developed VAT in a controlled setting, such as a simulation center, could be used to further test the benefits and drawbacks of this technology for dentistry. Building on this study’s findings, we could include the acceptance of other artificial AI systems by practitioners in future studies [ 17 , 60 , 61 ]. In addition, we plan to investigate the acceptance of both VAT and AI by patients and caregivers.…”

Section: Discussionmentioning

confidence: 99%

Acceptance of voice assistant technology in dental practice: A cross sectional study with dentists and validation using structural equation modeling

Warren,

Claman,

Meyer

et al. 2024

PLOS Digit Health

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Voice assistant technologies (VAT) has been part of our daily lives, as a virtual assistant to complete requested tasks. The integration of VAT in dental offices has the potential to augment productivity and hygiene practices. Prior to the adoption of such innovations in dental settings, it is crucial to evaluate their applicability. This study aims to assess dentists’ perceptions and the factors influencing their intention to use VAT in a clinical setting. A survey and research model were designed based on an extended Unified Theory of Acceptance and Use of Technology (UTAUT). The survey was sent to 7,544 Ohio-licensed dentists through email. The data was analyzed and reported using descriptive statistics, model reliability testing, and partial least squares regression (PLSR) to explain dentists’ behavioral intention (BI) to use VAT. In total, 257 participants completed the survey. The model accounted for 74.2% of the variance in BI to use VAT. Performance expectancy and perceived enjoyment had significant positive influence on BI to use VAT. Perceived risk had significant negative influence on BI to use VAT. Self-efficacy had significantly influenced perceived enjoyment, accounting for 35.5% of the variance of perceived enjoyment. This investigation reveals that performance efficiency and user enjoyment are key determinants in dentists’ decision to adopt VAT. Concerns regarding the privacy of VAT also play a crucial role in its acceptance. This study represents the first documented inquiry into dentists’ reception of VAT, laying groundwork for future research and implementation strategies.

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Section: Discussionmentioning

confidence: 99%

Acceptance of voice assistant technology in dental practice: A cross sectional study with dentists and validation using structural equation modeling

Warren,

Claman,

Meyer

et al. 2024

PLOS Digit Health

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“…AI in healthcare is not just a trend but a transformative force that promises to enhance multiple facets of healthcare delivery ( Mahdi et al, 2023 ). AI-driven applications, such as machine learning algorithms, natural language processing, and computer vision, have demonstrated the potential to streamline healthcare operations, optimize treatment plans, and improve patient outcomes ( Chen et al, 2023 ; Naik et al, 2022 ).…”

Section: Review Of Literaturementioning

confidence: 99%

“I Wonder if my Years of Training and Expertise Will be Devalued by Machines”: Concerns About the Replacement of Medical Professionals by Artificial Intelligence

Rony,

Parvin,

Wahiduzzaman

et al. 2024

SAGE Open Nursing

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Background The rapid integration of artificial intelligence (AI) into healthcare has raised concerns among healthcare professionals about the potential displacement of human medical professionals by AI technologies. However, the apprehensions and perspectives of healthcare workers regarding the potential substitution of them with AI are unknown. Objective This qualitative research aimed to investigate healthcare workers’ concerns about artificial intelligence replacing medical professionals. Methods A descriptive and exploratory research design was employed, drawing upon the Technology Acceptance Model (TAM), Technology Threat Avoidance Theory, and Sociotechnical Systems Theory as theoretical frameworks. Participants were purposively sampled from various healthcare settings, representing a diverse range of roles and backgrounds. Data were collected through individual interviews and focus group discussions, followed by thematic analysis. Results The analysis revealed seven key themes reflecting healthcare workers’ concerns, including job security and economic concerns; trust and acceptance of AI; ethical and moral dilemmas; quality of patient care; workforce role redefinition and training; patient–provider relationships; healthcare policy and regulation. Conclusions This research underscores the multifaceted concerns of healthcare workers regarding the increasing role of AI in healthcare. Addressing job security, fostering trust, addressing ethical dilemmas, and redefining workforce roles are crucial factors to consider in the successful integration of AI into healthcare. Healthcare policy and regulation must be developed to guide this transformation while maintaining the quality of patient care and preserving patient–provider relationships. The study findings offer insights for policymakers and healthcare institutions to navigate the evolving landscape of AI in healthcare while addressing the concerns of healthcare professionals.

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“…This real-time support enhances the quality of care by ensuring that dental professionals have the most up-to-date information during patient interactions. It also helps make informed decisions, answer patient queries on the spot, and foster a more collaborative approach to treatment planning [ 21 ].…”

Section: Reviewmentioning

confidence: 99%

A New Era of Dental Care: Harnessing Artificial Intelligence for Better Diagnosis and Treatment

Mahesh Batra,

Reche

2023

Cureus

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The integration of artificial intelligence (AI) into dental care holds the promise of revolutionizing the field by enhancing the accuracy of dental diagnosis and treatment. This paper explores the impact of AI in dental care, with a focus on its applications in diagnosis, treatment planning, and patient engagement. AI-driven dental imaging and radiography, computer-aided detection and diagnosis of dental conditions, and early disease detection and prevention are discussed in detail. Moreover, the paper delves into how AI assists in personalized treatment planning and provides predictive analytics for dental care. Ethical and privacy considerations, including data security, fairness, and regulatory aspects, are addressed, highlighting the need for a responsible and transparent approach to AI implementation. Finally, the paper underscores the potential for a collaborative partnership between AI and dental professionals to offer the best possible care to patients, making dental care more efficient, patient-centric, and effective. The advent of AI in dentistry presents a remarkable opportunity to improve oral health outcomes, benefiting both patients and the healthcare community.

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How does artificial intelligence impact digital healthcare initiatives? A review of AI applications in dental healthcare

Cited by 39 publications

References 61 publications

Acceptance of voice assistant technology in dental practice: A cross sectional study with dentists and validation using structural equation modeling

Acceptance of voice assistant technology in dental practice: A cross sectional study with dentists and validation using structural equation modeling

“I Wonder if my Years of Training and Expertise Will be Devalued by Machines”: Concerns About the Replacement of Medical Professionals by Artificial Intelligence

A New Era of Dental Care: Harnessing Artificial Intelligence for Better Diagnosis and Treatment

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