AI Model for Cervical Cancer Detection From Colposcopy Images

The intervention involves the use of colposcopy, a diagnostic procedure to visually examine the cervix using a colposcope. The procedure includes the application of saline, acetic acid, and iodine solutions to enhance the visualization of cervical tissues and identify abnormalities. The dosage form includes applying these solutions directly to the cervical area. The frequency of the intervention is typically a single session per patient, with the duration of the procedure lasting approximately 10-15 minutes. This study aims to utilize an AI model to analyze the colposcopic images obtained during the procedure to improve the accuracy and efficiency of cervical cancer detection.