The use of AI in medicine began in the 1970s,with early efforts focused on developing expert systems for diagnosis.AI in oncology specifically began with the development of algorithms to analyze large volumes of medic...The use of AI in medicine began in the 1970s,with early efforts focused on developing expert systems for diagnosis.AI in oncology specifically began with the development of algorithms to analyze large volumes of medical data,primarily focusing on cancer diagnosis and early detection through medical imaging.1–3 The evolution of AI in oncology has transitioned from early rule-based systems to the rise and subsequent pivot of high-profile platforms,such as IBM Watson,leading to today's era of deep learning and generative AI for precision medicine.Table 1 below summarizes the selected milestones associated with Oncology Research and Practice.展开更多
文摘The use of AI in medicine began in the 1970s,with early efforts focused on developing expert systems for diagnosis.AI in oncology specifically began with the development of algorithms to analyze large volumes of medical data,primarily focusing on cancer diagnosis and early detection through medical imaging.1–3 The evolution of AI in oncology has transitioned from early rule-based systems to the rise and subsequent pivot of high-profile platforms,such as IBM Watson,leading to today's era of deep learning and generative AI for precision medicine.Table 1 below summarizes the selected milestones associated with Oncology Research and Practice.
