Asma Khan

The University of Texas at San Antonio Health Science Center

Papers

Total Citations

H-Index

About

Asma Khan is a leading researcher at the intersection of artificial intelligence and endodontics, a dental specialty focused on diseases of the tooth pulp and surrounding tissues. Her most-cited work, "The Use of Artificial Intelligence in Endodontics" (2024, 45 citations), has rapidly become a cornerstone reference in the field. In this paper, Khan systematically explores how AI can revolutionize clinical practice—from analyzing complex 2D and 3D radiographic images to supporting nuanced diagnoses and treatment decisions. Her contributions are particularly impactful because they address the inherent challenges clinicians face: variable patient symptoms and the need for precise, data-driven decision-making in sophisticated procedures. By demonstrating AI's potential to enhance diagnostic accuracy and streamline workflows, Khan is helping to shape the future of dental care. Her work not only bridges computer science and clinical dentistry but also offers a practical roadmap for integrating intelligent systems into everyday practice. As one of the early adopters of AI in this specialty, Khan’s research is paving the way for more efficient, evidence-based endodontic treatments.