Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Artificial Intelligence for Early Oral Cancer Detection

Artificial Intelligence for Early Oral Cancer Detection

R, Yashoda
Puranik, Manjunath P.
D, Priyanka

Paperback

Medical Reference

ISBN10: 6208455340
ISBN13: 9786208455347
Publisher: LAP Lambert Academic Publishing
Published: Aug 18 2025
Pages: 52
Weight: 0.18
Height: 0.12 Width: 6.00 Depth: 9.00
Language: English
Oral cancer is one of the most common malignancies in India, primarily associated with tobacco use, and is often diagnosed at an advanced stage, resulting in poor prognosis. Early detection is essential to improve survival rates and reduce treatment costs. Artificial intelligence (AI) is emerging as a powerful tool for early detection of oral cancer by analyzing clinical images, histopathology, and patient data. Machine learning and deep learning algorithms can identify precancerous and cancerous lesions with high accuracy. AI assists in reducing diagnostic delays, especially in resource-limited settings. It supports clinicians in risk assessment, screening, and referral decisions. Integrating AI into diagnostic workflows may contribute to improved patient outcomes and reduced disease burden.

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