A recent peer-reviewed article in BMC Health Services Research reviewed 72 studies involving 15,325 healthcare professionals. The findings highlight that AI adoption depends not only on technology, but also on trust, education, transparency, and usability.
Artificial intelligence is becoming an increasingly important topic across healthcare. A recent peer-reviewed article in BMC Health Services Research reviewed 72 studies involving 15,325 healthcare professionals and examined how professionals view AI adoption.
The findings show that healthcare professionals generally see potential in AI, but successful adoption depends on more than simply introducing new tools. The review identified 49 facilitating factors and 43 hindering factors, including trust, training, usability, workflow fit, and clear understanding of how AI should be used.
For dentistry, this discussion is especially relevant. AI development in dentistry is often associated with radiology and image analysis, which remain major areas of progress. However, dentistry also depends heavily on structured knowledge: anatomy, pathology, pharmacology, materials, procedures, terminology, and continuous learning.
This is where language-based AI and AI-supported knowledge systems may add another layer. They can help users explore complex topics, connect concepts, summarise information, and navigate large volumes of educational dental content.
The message from the review is clear: AI adoption is not only about speed or automation. It is about trust, transparency, usability, education, and confidence in the tools being used.
Read the longer article on Dental Mammoth:
dentalmammoth.com/ai-adoption-healthcare-trust
Reference
Henzler, D., Schmidt, S., Koçar, A. et al. Healthcare professionals’ perspectives on artificial intelligence in patient care: a systematic review of hindering and facilitating factors on different levels. BMC Health Services Research 25, 633 (2025).
