Digitalization of healthcare is an inevitable process that reshapes the way we diagnose and treat oncology patients. In recent years, we have observed an exponential increase in the development of digital tools that have entered the medical space and transformed the process of clinical decision-making, from early detection and diagnosis, to selecting treatment options, monitoring therapy, and evaluating its outcome. The impact of these innovative approaches is especially visible in the fields of radiology and pathology where computer-based tools acquire approval from the main regulatory agencies. Despite these undisputable advancements, broader adoption of digitalization in oncology is still relatively low given the amount of investments and potential benefits.
This Research Topic will highlight innovative digital tools and approaches in the field of oncology to help systematize knowledge about current developments and their potential medical applications. A special focus should be given to the advances in digital platforms supporting early diagnosis, response prediction and patients’ stratification. Original articles, reviews and opinions submitted by participating authors should play an important role in broadening the understanding of digital tools and, hopefully, increase their adoption into clinical practice in the near future.
This Research Topic will encompass novel computer-based approaches in oncology related to diagnosis, treatment, response prediction and monitoring of cancer patients.
We welcome Reviews, Original Research and Opinion Articles covering the following themes:
- Impact of telepathology and teleradiology on access to quick and reliable diagnostics by oncology patients
- Implementation of digital algorithms for patients’ stratification and response prediction using deep learning methods
- Development of new digital end-points in clinical trials and its impact on clinical trial design
- Impact of digitalization on diagnostic workflows in oncology
- Artificial Intelligence in clinical decision support in oncology
- Augmented Reality and Surgical Vision
Dr. Konstanty Korski is currently an employee and share holder of F.Hoffmann-La Roche Ltd. Dr. Paolo Ocampo is currently employed at Genentech, Inc. All other Topic Editors declare no conflicts of interest.
Digitalization of healthcare is an inevitable process that reshapes the way we diagnose and treat oncology patients. In recent years, we have observed an exponential increase in the development of digital tools that have entered the medical space and transformed the process of clinical decision-making, from early detection and diagnosis, to selecting treatment options, monitoring therapy, and evaluating its outcome. The impact of these innovative approaches is especially visible in the fields of radiology and pathology where computer-based tools acquire approval from the main regulatory agencies. Despite these undisputable advancements, broader adoption of digitalization in oncology is still relatively low given the amount of investments and potential benefits.
This Research Topic will highlight innovative digital tools and approaches in the field of oncology to help systematize knowledge about current developments and their potential medical applications. A special focus should be given to the advances in digital platforms supporting early diagnosis, response prediction and patients’ stratification. Original articles, reviews and opinions submitted by participating authors should play an important role in broadening the understanding of digital tools and, hopefully, increase their adoption into clinical practice in the near future.
This Research Topic will encompass novel computer-based approaches in oncology related to diagnosis, treatment, response prediction and monitoring of cancer patients.
We welcome Reviews, Original Research and Opinion Articles covering the following themes:
- Impact of telepathology and teleradiology on access to quick and reliable diagnostics by oncology patients
- Implementation of digital algorithms for patients’ stratification and response prediction using deep learning methods
- Development of new digital end-points in clinical trials and its impact on clinical trial design
- Impact of digitalization on diagnostic workflows in oncology
- Artificial Intelligence in clinical decision support in oncology
- Augmented Reality and Surgical Vision
Dr. Konstanty Korski is currently an employee and share holder of F.Hoffmann-La Roche Ltd. Dr. Paolo Ocampo is currently employed at Genentech, Inc. All other Topic Editors declare no conflicts of interest.
