Jyoti Mago

Jyoti Mago serves as an Assistant Professor in Residence within the Department of Dental Medicine at the University of Nevada, Las Vegas, specializing in oral and maxillofacial radiology. Her clinical and research work focuses on advanced imaging diagnostics and the integration of artificial intelligence in dental practice and education.

Her educational background includes:

• Certificate in Advanced Education Program in Oral and Maxillofacial Radiology from University of Connecticut School of Dental Medicine
• MS from University of Connecticut School of Dental Medicine
• MDS (Oral Medicine and Radiology) from Maharishi Markandeshwar College of Dental Sciences and Research, India
• BDS from Baba Jaswant Singh Dental College and Hospital, India

Dr. Mago's research spans oral and maxillofacial radiology, dental imaging protocols, and transformative AI applications in dentistry. She investigates CBCT-based diagnosis of complex conditions like periodontal disease and oral cancers, while pioneering the use of generative AI for radiology reporting, curriculum development, and radiation safety education. Her work addresses critical gaps in geriatric oral healthcare and diagnostic accuracy through technological innovation.

Analysis of her 2021-2025 publications reveals three dominant research vectors: (1) AI integration in dental radiology reporting and education using tools like ChatGPT, (2) advanced imaging diagnostics for oral pathologies and anatomical correlations, and (3) geriatric oral health challenges. Her recent work demonstrates increasing emphasis on AI's role in improving diagnostic precision, educational methodologies, and clinical workflows while maintaining rigorous investigation of traditional radiological techniques.

No scientific awards were documented in the provided materials.

Dr. Mago's academic contributions include mentoring dental students in radiology techniques and diagnostic interpretation, though specific advisees aren't listed. Her research program appears supported by institutional resources at UNLV's School of Dental Medicine, with recent projects focusing on AI implementation and imaging protocol optimization. Current initiatives likely involve expanding AI validation studies across dental specialties and developing standardized frameworks for AI-assisted diagnostics.

She operates within UNLV's dental research ecosystem, collaborating on projects involving CBCT imaging analysis and AI tool development for clinical dentistry, though specific lab affiliations aren't detailed in available records.