Recent Advance in Diagnostic Oral Medicine – A Review
Year: 2024
Type: article
Abstract: Oral medicine plays a pivotal role in diagnostic decision-making and the field has witnessed significant advancements over time, revolutionizing the way oral diseases are diagnosed and managed. Recent advancements in diagnostic oral medicine offer promising solutions for early detection and accurate diagnosis. These innovations include the use of salivary biomarkers, advanced imaging technologies, and artificial intelligence (AI). Early detection is crucial for improving patient outcomes. Saliva-based biomarkers, such as miRNAs and proteins, provide a non-invasive method for early detection. Imaging techniques like auto fluorescence imaging, Raman spectroscopy, and optical coherence tomography enhances the visualization of abnormal tissues. AI-powered tools, particularly deep learning algorithms, can analyze images and data to improve diagnostic accuracy. By combining these technologies, we can achieve earlier detection, more accurate diagnosis, and personalized treatment plans for oral cancer patients.
Authors: Dr. K. V. Vijila, Dr. Priya Ramani, Dr. Mohamed Yasin, Dr. Nithish Kumar, Dr. Mohammed Alia Ruqsana
Language: English
Subfield: Periodontics
Field: Dentistry
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W6967997442
FWCI:
Cites:
Cited by:
Related to: