Artificial intelligence is at the forefront of new health screening tools, and lung cancer is the deadliest cancer in the world, so there is a tool in the works.

The creators of Sybil, an AI tool for risk assessment, aim to change the way physicians assess lung cancer risk to better treat their patients.

Doctors at Mass General Brigham Cancer Institute have been working with MIT’s Abdul Latif Jameel Clinic for Machine Learning in Health on perfecting the tool.

Dr. Lecia V. Sequist, an oncologist at MGH, said Sybyl analyzes a patient’s low-dose computed tomography scans to make predictions.

“What Sybyl is doing is something that the radiologists can’t do, which is trying and predict what’s going to happen a year from now, two years from now,” Sequist said.

Sequist envisions the tool will help physicians to be more effective with even more personalized treatments and preventive medicine.

PEMBROKE PARK, Fla.