Tumor Markers a Diagnostic Tool for Oral Cancers with Reference to Artificial Intelligence

Abstract

Objective: This research study explores the application of artificial intelligence (AI) in the realm of oral cancer diagnosis, with a focus on understanding healthcare professionals' perceptions, AI adoption rates, patient attitudes, AI system metrics, and ethical implementation considerations.

Methods: A quantitative research approach was employed, involving 75 healthcare professionals, including oncologists, pathologists, and clinicians, and 120 patients from diverse age groups. Data was collected through structured questionnaires, medical record reviews, and AI system metrics. Statistical analyses included Pearson's correlation, regression analysis, ANOVA, Chi-Square tests, and independent samples T-tests.

Results: The study revealed a strong positive correlation between the accuracy of AI-based tumor marker analysis and AI adoption among healthcare professionals. Positive perceptions of AI were significantly associated with higher AI adoption. Patient attitudes significantly influenced their satisfaction with AI-assisted diagnosis. AI demonstrated higher efficiency and accuracy compared to traditional methods, supporting its potential as a diagnostic tool. Ethical compliance emerged as a crucial factor in AI implementation, with 80% adherence to ethical guidelines.

Conclusion: This study highlights the promising role of AI in oral cancer diagnosis, with potential benefits including enhanced accuracy and efficiency. Addressing ethical considerations and promoting positive perceptions are essential for the responsible integration of AI into clinical practice. These findings contribute valuable insights for healthcare professionals, researchers, and policymakers seeking to leverage AI in improving oral cancer diagnosis while maintaining ethical standards and patient satisfaction.