Prof. Dr. Pia Lopez-Jornet | Artificial Intelligence in Diagnostics | Best Paper Award

Professor Doctor | University of Murcia | Spain

Dr. Pia López-Jornet is a leading researcher in Oral Medicine whose extensive scientific contributions have significantly shaped current understanding of oral mucosal diseases, saliva biomarkers, and oral potentially malignant disorders. With a prolific record of 263 research documents, 5,278 citations, and an h-index of 39, she has established a strong global impact across dentistry, oral pathology, and translational oral science. Her research spans clinical, molecular, and diagnostic investigations, focusing on burning mouth syndrome, xerostomia, oral lichen planus, leukoplakia, and early oral cancer detection. Dr. López-Jornet has advanced the field through pioneering studies on salivary biomarkers, demonstrating their role in inflammation, oxidative stress, immune regulation, and disease monitoring. She has conducted numerous randomized clinical trials evaluating non-pharmacological therapies, photobiomodulation, laser applications, and biomaterials for oral tissue regeneration. Her systematic reviews and meta-analyses have synthesized global evidence, contributing to improved diagnostic accuracy and therapeutic strategies. She has also explored emerging diagnostic technologies such as infrared thermography, fractal dimension analysis of bone structures, and cone-beam computed tomography to enhance clinical decision-making. With a strong commitment to patient-centered research, she has extensively studied quality-of-life outcomes, treatment satisfaction, and psychological factors associated with chronic oral conditions. Dr. López-Jornet’s scientific leadership is reflected in her continuous contributions to high-impact journals and international collaborations, establishing her as a prominent figure advancing biomarker-based diagnostics, evidence-based therapies, and innovation in Oral Medicine.

Profiles: Scopus | Google Scholar | ORCID

Featured Publications

Pia Lopez-Jornet | Artificial Intelligence in Diagnostics | Best Paper Award

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