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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)

International Peer Reviewed & Refereed Journals, Open Access Journal

IJCRT Peer-Reviewed (Refereed) Journal as Per New UGC Rules.

ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013

Call For Paper - Volume 14 | Issue 7 | Month- July 2026

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  Published Paper Details:

  Paper Title

Decoding AI in Dentistry: Knowledge, Challenges, and the Path Ahead

  Authors

  Dr.Neetu Kadu,  Yusra Sayyed,  Huda Juwle,  Dr. Rohan Sononi

  Keywords

Keywords: - Artificial Intelligence, Dentistry, Knowledge, AI Applications.

  Abstract


Abstract: - Introduction Artificial Intelligence (AI) is transforming healthcare by offering innovative solutions in diagnostics, treatment planning, and disease prevention. In dentistry, AI applications span radiology, orthodontics, endodontics, and restorative procedures, enhancing accuracy and efficiency. Despite its potential, the extent of AI awareness, knowledge, and adoption among dental professionals remains unclear, necessitating a focused investigation. Methodology A cross-sectional survey was conducted among 100 dental professionals, including practicing dentists, academics, and postgraduate students across various specialties. Participants were recruited through online and offline channels, adhering to inclusion criteria of a minimum Bachelor of Dental Surgery (BDS) qualification and active engagement in clinical practice or teaching. A structured questionnaire comprising five sections assessed demographics, AI awareness and attitudes, knowledge, barriers to AI adoption, and educational preferences. The tool's reliability was validated (Cronbach's alpha = 0.8) through a pilot study. Data collection involved voluntary participation with informed consent. Results The study revealed high awareness (84%) of AI applications in dentistry, with participants acknowledging its utility in enhancing diagnostic accuracy and efficiency. However, significant barriers to AI adoption were identified, including a lack of technical knowledge, inadequate infrastructure, and ethical concerns. The majority of participants expressed a strong preference for AI-focused educational programs, emphasizing hands-on training and workshops. Conclusion The findings underscore the need to address technical and infrastructural barriers to foster AI integration in dentistry. Targeted educational initiatives are essential to bridge the knowledge gap and equip dental professionals with the skills required to leverage AI effectively. This study provides a foundation for developing strategic interventions to promote AI adoption, ensuring its seamless incorporation into routine dental practice.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2412084

  Paper ID - 273516

  Page Number(s) - a691-a698

  Pubished in - Volume 12 | Issue 12 | December 2024

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Dr.Neetu Kadu,  Yusra Sayyed,  Huda Juwle,  Dr. Rohan Sononi,   "Decoding AI in Dentistry: Knowledge, Challenges, and the Path Ahead", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 12, pp.a691-a698, December 2024, Available at :http://www.ijcrt.org/papers/IJCRT2412084.pdf

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Call For Paper July 2026
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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