Methodological quality of machine learning-based quantitative imaging analysis studies in esophageal cancer: a systematic review of clinical outcome prediction after …

Z Shi, Z Zhang, Z Liu, L Zhao, Z Ye, A Dekker… - European Journal of …, 2022 - Springer
Purpose Studies based on machine learning-based quantitative imaging techniques have
gained much interest in cancer research. The aim of this review is to critically appraise the …

[HTML][HTML] Building an artificial intelligence laboratory based on real world data: the experience of gemelli generator

A Damiani, C Masciocchi, J Lenkowicz… - Frontiers in Computer …, 2021 - frontiersin.org
The problem of transforming Real World Data into Real World Evidence is becoming
increasingly important in the frameworks of Digital Health and Personalized Medicine …

Risk prediction models for the development of oral-mucosal pressure injuries in intubated patients in intensive care units: A prospective observational study

BK Choi, MS Kim, SH Kim - Journal of Tissue Viability, 2020 - Elsevier
Purpose Oral-mucosal pressure injury (PI) is the most commonly encountered medical
device-related PIs. This study was performed to identify risk factors and construct a risk …

FAIR‐compliant clinical, radiomics and DICOM metadata of RIDER, interobserver, Lung1 and head‐Neck1 TCIA collections

P Kalendralis, Z Shi, A Traverso, A Choudhury… - Medical …, 2020 - Wiley Online Library
Purpose One of the most frequently cited radiomics investigations showed that features
automatically extracted from routine clinical images could be used in prognostic modeling …

Implementation of big imaging data pipeline adhering to FAIR principles for federated machine learning in oncology

AK Jha, S Mithun, UB Sherkhane… - … on Radiation and …, 2021 - ieeexplore.ieee.org
Cancer is a fatal disease and one of the leading causes of death worldwide. The cure rate in
cancer treatment remains low; hence, cancer treatment is gradually shifting toward …

Pirfenidone for the prevention of radiation-induced lung injury in patients with locally advanced oesophageal squamous cell carcinoma: a protocol for a randomised …

C Chen, B Zeng, D Xue, R Cao, S Liao, Y Yang, Z Li… - BMJ open, 2022 - bmjopen.bmj.com
Introduction Radiation-induced lung injury (RILI) is one of the most clinically-challenging
toxicities and dose-limiting factors during and/or after thoracic radiation therapy for …

[HTML][HTML] Benchmarking machine learning approaches to predict radiation-induced toxicities in lung cancer patients

FJ Núñez-Benjumea, S González-García… - Clinical and …, 2023 - Elsevier
Background and purpose Radiation-induced toxicities are common adverse events in lung
cancer (LC) patients undergoing radiotherapy (RT). An accurate prediction of these adverse …

Automatic tumor grading on colorectal cancer whole-slide images: semi-quantitative gland formation percentage and new indicator exploration

S Chen, M Zhang, J Wang, M Xu, W Hu, L Wee… - Frontiers in …, 2022 - frontiersin.org
Tumor grading is an essential factor for cancer staging and survival prognostication. The
widely used the WHO grading system defines the histological grade of CRC …

[HTML][HTML] Impact of Regional Lymph Node Irradiation on Reducing Lymph Node Recurrence in Esophageal Cancer Patients

S Watanabe, I Ogino, D Shigenaga… - Cancer Diagnosis & …, 2022 - ncbi.nlm.nih.gov
Results The patients in whom group 2 was completely included in the irradiated field had a
significantly lower rate of recurrence of regional lymph node metastasis than those in whom …

[HTML][HTML] Protocol: Pirfenidone for the prevention of radiation-induced lung injury in patients with locally advanced oesophageal squamous cell carcinoma: a protocol …

C Chen, B Zeng, D Xue, R Cao, S Liao, Y Yang, Z Li… - BMJ Open, 2022 - ncbi.nlm.nih.gov
Introduction Radiation-induced lung injury (RILI) is one of the most clinically-challenging
toxicities and dose-limiting factors during and/or after thoracic radiation therapy for …