Artificial Intelligence in Diagnosis of Oral Potentially Malignant Lesions- Need of the Hour

Abhilasha Chapade, Kumar Gaurav Chhabra, Amit Reche, Priyanka Paul Madhu
<span title="2021-12-14">2021</span> <i title="Sciencedomain International"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ztbly42ph5fitd3xnq3ekswtbe" style="color: black;">Journal of Pharmaceutical Research International</a> </i> &nbsp;
Artificial intelligence (AI) is a technological breakthrough that is rapidly progressing and has captivated the minds of researchers all over the world. AI can be used to make a diagnosis of oral cavity lesions, detect and identify suspicious changed oral mucosa undergoing premalignant and malignant transformations. The purpose of this review is to give a comprehensive summary of developing optical imaging technologies, innovative artificial intelligence-based techniques. The concepts of
more &raquo; ... ased techniques for identifying oral cancer are defined in terms of clinical requirements and features. Although artificial intelligence (AI) is beginning to have a significant impact on increasing diagnosis accuracy in a variety of fields of medicine, there has been limited research on oral cancer to date. These results suggest that combining artificial intelligence with imaging can improve oral cancer outcomes, applications ranging from very low-cost oral cancer screening with Smartphone-based probes to algorithm-guided identification premalignant lesion heterogeneity and margins using optical coherence tomography. Oral cancer outcomes can be improved by combining imaging and artificial intelligence technologies for better detection and diagnosis.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.9734/jpri/2021/v33i58a34092">doi:10.9734/jpri/2021/v33i58a34092</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zevo5ypepjg33nqelmmsede6xm">fatcat:zevo5ypepjg33nqelmmsede6xm</a> </span>
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