Development and Evaluation of Artificial Intelligence Applications in Oncology
While artificial intelligence integration in cancer treatment is gaining momentum, the success and validation level of the systems vary depending on the tasks.
Artificial intelligence technologies have started to be used in many areas of oncology, from clinical trial matching to medical imaging; however, these applications need to be evaluated individually.
Use of Artificial Intelligence in Clinical Processes
Artificial intelligence is increasingly being used in oncology to support tasks such as clinical trial matching, evidence review, mammography, digital pathology, cancer biology, and drug discovery. Because these applications are at different stages of development, they must be addressed individually.
Task-Based Performance Variations
The performance of the systems varies greatly depending on the task they undertake. A model that extracts information from a clinical report may not exhibit the same reliability when performing risk classification or making treatment recommendations.
Clinical Trial Matching and New Tools
Clinical trial matching is a rapidly expanding application area. Artificial intelligence platforms have provided high accuracy and reductions in screening times when identifying relevant studies based on patient criteria.
Medical Imaging and Institutional Projects
In randomized clinical trials, artificial intelligence-assisted mammography screenings have been shown to reduce the workload of radiologists. Leading institutions and platforms are deploying specialized systems for oncology workflows.