The Evolution of Artificial Intelligence in Oncology and Its Impact on Clinical Processes
Specialized language models, AI-powered tomographies, and foundation models are transforming cancer care, clinical trials, and early detection processes.
Artificial intelligence technologies have become a significant element fundamentally changing clinical workflows, early detection processes, and patient outcomes in oncology care.
The Development of AI in Oncology
Artificial intelligence is being utilized in various capacities to transform oncology care, having evolved from its initial state to its current significant position.
The National Cancer Institute views artificial intelligence as a unique opportunity to understand cancer and improve patient care.
Language Models in Clinical Decisions
Customized large language models serve as AI copilots for decisions at the point of care.
Agent-based AI systems support tumor boards, clinical trial matching, and treatment adherence.
Radiology and Early Detection
In the field of radiology, AI assists mammography screenings, contributing to the reduction of double-reading times.
Clinical trials like PANORAMA demonstrate that AI-powered computed tomographies can detect early-stage pancreatic cancer.
Cardio-Oncology and Pathology
In the field of cardio-oncology, foundation models analyze electrocardiograms to help determine arrhythmias and risk factors.
Foundation models play an important role in addressing pathologist shortages in low- and middle-income countries as well as rural regions.