How artificial intelligence is being used to detect, treat cancer -- and the potential risks for patient

– Several AI tools have been developed to aid in cancer detection, diagnosis, and treatment, showing promise in catching cancers at early stages and providing better outcomes for patients.

– AI is being used in various areas, such as detecting tumors or lesions that might be missed by doctors and assisting in cancer treatment decision-making.

– For lung cancer detection, an AI tool called Sybil was trained on low-dose chest computed tomography scans and accurately predicted the risk of lung cancer development within six years for patients undergoing screening.

– Another AI tool identified individuals at high risk of pancreatic cancer up to three years before diagnosis using solely patients' medical records.

– AI chatbots, like Penny from Penn Medicine, help guide cancer patients through complex treatment regimens and reduce medication adherence mistakes.

– Despite advancements, there are challenges, including biases in AI algorithms for diagnosing skin cancer, which can lead to less accurate results for people with darker skin.

– Overdiagnosing cancer is a concern, as not every tumor becomes deadly, and detecting more cancer should focus on identifying potentially life-threatening cases.

– Researchers emphasize responsible development and deployment of AI in cancer detection and treatment, ensuring ethical standards and equitable data representation.