Artificial Intelligence in Dentistry: Home - Overview
Thought in Nature vs Thought in Machine
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This figure shows the process of AI systems mimicking the human thought-process through its learned behaviors and mapping procedures. Ideally, a successful system will generate the same accurate results possible from human thought and reasoning, but in a shorter amount of time, if not an even greater attention to detail. Schwendicke, F., Samek, W., & Krois, J. (2020). Artificial Intelligence in Dentistry: Chances and Challenges. Journal of dental research, 99(7), 769–774. https://doi.org/10.1177/0022034520915714 |
Artificial Intelligence in Medicine (AIM) & Ethics: Safety, Privacy, and Bias
In this podcast interview, discussion features on providing a traced overview of safety and privacy concerns with medical AI. While this work can be used for good, much research and training into AI programs still must occur, and time is needed to bring full trust to patients, who also have the right to all information about how they may be affected by medical AI. The entire multi-episode interview can be found on The Authority File.
Divining The Future of Artificial Intelligence in Clinical Decision Support
- Do No Harm: Balancing Innovation and Regulation in Health Care AIFour top experts in the field of medical artificial intelligence (AI) were convened by the University of Pennsylvania’s Leonard Davis Institute of Health Economics (LDI) to discuss the many legal, ethical, regulatory, and procedural challenges involved in the design and implementation of clinical AI systems that directly support patient care. This is the one-hour video of that session.
How does medical AI work?
- Application of Artificial Intelligence in Dentistry byPublication Date: 2020Artificial intelligence (AI) is a technology that utilizes machines to mimic intelligent human behavior. To appreciate human-technology interaction in the clinical setting, augmented intelligence has been proposed as a cognitive extension of AI in health care, emphasizing its assistive and supplementary role to medical professionals. While truly autonomous medical robotic systems are still beyond reach, the virtual component of AI, known as software-type algorithms, is the main component used in dentistry. Because of their powerful capabilities in data analysis, these virtual algorithms are expected to improve the accuracy and efficacy of dental diagnosis, provide visualized anatomic guidance for treatment, simulate and evaluate prospective results, and project the occurrence and prognosis of oral diseases. Potential obstacles in contemporary algorithms that prevent routine implementation of AI include the lack of data curation, sharing, and readability; the inability to illustrate the inner decision-making process; the insufficient power of classical computing; and the neglect of ethical principles in the design of AI frameworks. It is necessary to maintain a proactive attitude toward AI to ensure its affirmative development and promote human-technology rapport to revolutionize dental practice. The present review outlines the progress and potential dental applications of AI in medical-aided diagnosis, treatment, and disease prediction and discusses their data limitations, interpretability, computing power, and ethical considerations, as well as their impact on dentists, with the objective of creating a backdrop for future research in this rapidly expanding arena.
