Automated diagnosis and treatment planning in dentistry
نویسندگان
چکیده
This study aims to investigate the perceptions and experiences regarding automated diagnosis treatment planning in dentistry. The field of is rapidly evolving, leveraging advanced technologies such as artificial intelligence (AI) machine learning enhance patient care outcomes. However, there a need understand perspectives dental professionals adoption implementation these systems. A questionnaire survey was conducted among 100 dentists from various practices gather data on their familiarity, usage, planning. also explored perceived benefits, challenges, future implications systems care. Preliminary findings indicate that majority sample (80%) have some level familiarity with only 45% reported actively using practice. Among systems, most commonly cited benefits include time-saving (60%), enhanced accuracy (55%), improved (50%). Challenges associated were identified.
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ژورنال
عنوان ژورنال: International Journal of Health Sciences (IJHS)
سال: 2023
ISSN: ['2550-6978', '2550-696X']
DOI: https://doi.org/10.53730/ijhs.v7ns1.14330