Introduction

several types of cancer are benefiting significantly from AI-based detection tools:

Breast Cancer

An AI tool called Mia successfully identified tiny signs of breast cancer in 11 women that were missed by human doctors during an NHS trial.

The AI system at AIIMS in Delhi was trained on 500,000 radiological and histopathological images from 1,500 breast and ovarian cancer cases.

Lung Cancer

AI models like Sybile, developed at MIT, can detect abnormal growths in the lungs with up to 90% accuracy.

Researchers at IIT Dharwad are using multi-omics-based classification for more accurate prediction of lung cancer cell clusters.

Pancreatic Cancer

An AI tool successfully identified people at the highest risk for pancreatic cancer up to three years before diagnosis using solely patients’ medical records.

Brain Cancer

AI is being used for speedy analysis of brain tumors, though specific details were not provided in the search results.

Ovarian Cancer

The AI system at AIIMS Delhi included ovarian cancer cases in its training data.

Scientists from institutes in Manipal and Bangalore are using multi-omics to identify population-specific molecular signatures of ovarian cancer.

Concusion

While these cancer types are specifically mentioned, the search results suggest that AI-based detection tools have the potential to benefit a wide range of cancers by improving early detection, diagnostic accuracy, and treatment planning.