Machine learning-based models for prediction of toxicity outcomes in radiotherapy
In order to limit radiotherapy (RT)-related side effects, effective toxicity prediction and
assessment schemes are essential. In recent years, the growing interest toward artificial …
assessment schemes are essential. In recent years, the growing interest toward artificial …
[PDF][PDF] Artificial intelligence and statistical models for the prediction of radiotherapy toxicity in prostate cancer: A systematic review
Background: Prostate cancer (PCa) is the second most common cancer in men, and
radiotherapy (RT) is one of the main treatment options. Although effective, RT can cause …
radiotherapy (RT) is one of the main treatment options. Although effective, RT can cause …
Radiomics analysis of 3D dose distributions to predict toxicity of radiotherapy for lung cancer
Abstract Purpose (Chemo)–radiotherapy (RT) is the gold standard treatment for patients with
locally advanced lung cancer non accessible for surgery. However, current toxicity …
locally advanced lung cancer non accessible for surgery. However, current toxicity …
Artificial intelligence in the treatment of cancer: changing patterns, constraints, and prospects
Purpose Artificial intelligence (AI) has contributed to the advancement of medical research,
particularly cancer research. AI technology is an inclusive science comprising computer …
particularly cancer research. AI technology is an inclusive science comprising computer …
Machine learning-based models in the diagnosis, prognosis and effective cancer therapeutics: current state-of-the-art
Currently, the advancement of computational intelligence (CI) and machine learning (ML)
leading to the integration of methods. Cancer, one of the major challenges in organisms, is …
leading to the integration of methods. Cancer, one of the major challenges in organisms, is …
[HTML][HTML] Machine-learning with region-level radiomic and dosimetric features for predicting radiotherapy-induced rectal toxicities in prostate cancer patients
Z Yang, DJ Noble, L Shelley, T Berger, R Jena… - Radiotherapy and …, 2023 - Elsevier
Background and purpose This study aims to build machine learning models to predict
radiation-induced rectal toxicities for three clinical endpoints and explore whether the …
radiation-induced rectal toxicities for three clinical endpoints and explore whether the …
Artificial intelligence in clinical trials
Overall, current clinical trial success rate is in the range of 10–13.8%. The oncology clinical
trial success rate range is even lower at 3.4–5.1%(Thomas et al., Clinical development …
trial success rate range is even lower at 3.4–5.1%(Thomas et al., Clinical development …
Artificial intelligence applied to medicine: There is an “elephant in the room”
C Fiorino, T Rancati - Physica Medica: European Journal of …, 2022 - physicamedica.com
This strong and courageous sentence recently captured our attention: it was stated by S
Kundu, a highly reputed young scientist, in her short editorial/letter recently published on …
Kundu, a highly reputed young scientist, in her short editorial/letter recently published on …
Relationship Between Radiation Therapy and Fecal Incontinence in Patients Treated for Localized Prostate Cancer: Results of the French ICONES Study
Y Belkacemi, G Coraggio, K Debbi, L Sirmai… - The …, 2025 - Wiley Online Library
Background Radiation‐induced late fecal incontinence (LFI) is one of the most quality‐of‐life
impairing symptoms in prostate cancer. We aimed to assess the impact of radiotherapy (RT) …
impairing symptoms in prostate cancer. We aimed to assess the impact of radiotherapy (RT) …
Digital technologies for bowel management: A scoping review
The use of digital technologies in managing bowel conditions has been a topic of interest
among healthcare practitioners. The objectives of this paper were to provide information …
among healthcare practitioners. The objectives of this paper were to provide information …