Abstract
Clinical trials serve as a barrier of entry for new interventions and treatments prior to implementation in routine clinical practice. At its essence, the primary role of a clinical trial is to monitor a patient longitudinally using the diagnostic disciplines (radiology, pathology and laboratory medicine) to assess clinical outcomes. As the diagnostic fields have begun to fully digitalise, large volumes of data are being generated per patient – creating a ripe environment for the implementation of artificial intelligence (AI). In recent years, AI has found multiple applications in the medical field, most notably in radiology. In this book chapter, we will explore how artificial intelligence has been applied in each of these diagnostic disciplines and discuss how this may influence clinical trials in the future.
Original language | English |
---|---|
Title of host publication | Neoadjuvant Immunotherapy Treatment of Localized Genitourinary Cancers |
Subtitle of host publication | Multidisciplinary Management |
Editors | Andrea Necchi, Philippe E. Spiess |
Publisher | Springer International Publishing |
Chapter | 20 |
Pages | 265-284 |
Number of pages | 20 |
Edition | 1 |
ISBN (Electronic) | 9783030805463 |
ISBN (Print) | 9783030805456, 9783030805487 |
DOIs | |
Publication status | Published - 1 Jan 2022 |
Keywords
- Artificial intelligence
- Clinical trials
- Integrated diagnostics
- Radiomics