The Progressive Integration of AI Software in the Histopathological Diagnosis of Oral Cancers

As in any other field, medicine is advancing and striving to adapt to increasingly complex demands, aiming to find rapid solutions in establishing certain diagnoses that can save or significantly improve the patient's quality of life. The integration of AI systems in the medical field is vital and requires openness, as well as a continuous desire for learning and improvement. Although the use of artificial intelligence in the medical field in Romania has not yet reached widespread development, there are still some AI software and applications that prove their effectiveness and ease the work of medical specialists. Oral cancer is one of the most common forms of malignant or premalignant lesions globally, with a high prevalence. Although developed countries are less affected compared to developing ones, they are also seeing an increasing incidence of cancers in the oro-maxillofacial region. The etiology of oral cancer is complex, influenced by both genetic and epigenetic factors. Currently, research is increasingly focused on epigenetic factors, including smoking, chronic alcoholism, diet, and improper use of mouthwash. These behaviours are associated with significant risks for the development of oral cancer, highlighting the importance of awareness and prevention within the global population. In Romania, factors such as low dental visit frequency, poor infrastructure, and lack of education contribute to disease prevalence. According to GLOBOCAN data, oral cancer in Romania ranks second in incidence, after leukemia, with a rate of 5.6 per 100,000 individuals. The purpose of our study is to highlight the importance of histopathological examination in establishing a definitive diagnosis, as well as the significance of AI software used in storing and processing the data obtained in the laboratory.