Artificial intelligence (AI) is being used in a variety of ways to improve the diagnosis and treatment of cancer. One application is in cancer detection, where machine learning algorithms are being used to build tools that can help doctors identify tumors or lesions that might be missed during routine exams. These tools can assist in screening asymptomatic patients who are at risk of cancer, investigating and triaging symptomatic patients, and more effectively diagnosing cancer recurrence. AI is also being used to predict which patients are most likely to respond to certain cancer therapies, such as immune therapies or chemotherapies, by analyzing large amounts of data to identify biological determinants of response. Additionally, AI is being integrated into cancer care to improve the accuracy and speed of diagnosis, aid clinical decision-making, and ultimately lead to better health outcomes. This technology has the potential to play an important role in reducing health disparities, particularly in low-resource settings.