Cervical cancer detection has witnessed significant advancements through the integration of deep learning techniques into medical imaging and diagnostic procedures. Modern deep learning methods ...

By harnessing deep learning algorithms, AI is now able to replicate human-like interpretation of medical images, resulting in more accurate detection of cervical cancer.

The AI model from IASST boasts a 98.02% accuracy, significantly improving early detection of cervical dysplasia.

Hologic Inc. is teaming up with Google Cloud to use machine learning technologies to improve the accuracy and timeliness of cytology for cervical cancer screening. Marlborough, Mass.-based Hologic, ...

Here's hoping that with continued progress, early detection of cervical cancer becomes feasible, sparing women from the burden of this devastating disease.

Most cervical cancers are caused by human papilloma virus (HPV), providing a convenient genetic marker of cancer-derived DNA that could be used to assess residual disease burden within plasma.