SP-40 Unleashing the Kraken of Artificial Intelligence; A Bane or a Boon?
CE Hours: 1.0
Description: This session delves into the realm of artificial intelligence (AI) and its profound imprint on the fields of medicine, dentistry and education. With advancements in machine learning and natural language processing, AI has emerged as a promising tool for transforming traditional clinical practice and teaching methodologies. This lecture explores how AI technologies can revolutionize the way we treat our patients, the way we engage with students, personalize learning experiences, and optimize educational outcomes. By leveraging intelligent diagnostic and tutoring systems, assessment tools, adaptive learning platforms, and data-driven insights, AI empowers clinicians and teachers to evolve with the current times to cater to our patients/students’ needs, identify learning gaps, and provide timely interventions. Moreover, AI-powered diagnostic tools can augment our diagnostic and clinical skills in Endodontics. It also augments predoctoral and post-doctoral teaching by providing educational tools that can facilitate immersive and interactive learning experiences, promoting active student participation, engagement and knowledge retention. However, as AI becomes more integrated into clinical and educational settings, ethical considerations and concerns around privacy, accuracy, and bias must be addressed. Overreliance on AI tools for Diagnosis and treatment planning can build an implicit bias in the clinicians’ mind, overlook critical thinking skills with a significant risk for ignoring errors made by the AI System. This lecture will conclude by highlighting the potential of AI to reshape the landscape of medicine/dentistry and education, while emphasizing the importance of thoughtful implementation and continuous evaluation to harness its full benefits.
Learning Objectives:
- Describe the fundamental concepts of artificial intelligence and its application in the fields of Clinical Dentistry and Dental Education.
- Discuss use of AI and machine learning techniques used for analyzing radiographic images, cone-beam computed tomography (CBCT) scans, and other diagnostic data in Endodontics and its possible clinical applications.
- Investigate the ethical considerations and potential challenges associated with the use of AI in both academic and clinical settings, including privacy, liability, and the need for human oversight.
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Nauman R. Chatha, B.D.S., D.D.S., M.S.D., MMSc., FRCD(C).
Dr. Nauman R Chatha is a practicing and academic Endodontist based in Boston, Massachusetts. He attended New York University College of Dentistry for his DDS, Yale University New Haven Hospital/Yale School of Medicine for General Practice Residency, Boston University School of Dental Medicine for MSD in Endodontics, and Harvard Medical School for MMSc in Medical Education. Asides from maintaining a private practice, he is a Clinical Assistant Professor/Faculty of Endodontics at Boston University School of Dental Medicine, Harvard School of Dental Medicine, and the Boston VA Healthcare System, teaching both predoctoral dental students and postdoctoral residents. He is a Diplomate of the American Board of Endodontics, and a Fellow of the Royal College of Dentists of Canada where is also appointed as an Examiner in Endodontics. He serves on the AAE Educational Affairs Committee and Boston University School of Dental Medicine’s Admissions Committee. A passionate national and international speaker, he is also the recipient of the prestigious McCahan teaching award at Boston University. Dr Chatha is a credentialed speaker (uncompensated) for Dentsply Sirona, USA and founder of a CE Group, SIMPLI-FI, through which he has held multiple CE events in Boston, Massachusetts. Dr Chatha is also an officer in the United States Army Dental Corps where he has proudly served for the past 13 years and received multiple achievement medals.
Speaker Disclosure
I declare that I have no proprietary, financial, or other personal interest of any nature or kind in any product, service, course, and/or company, or in any firm beneficially associated therewith, that will be discussed or considered during the proposed presentation.