Radiogenomics in renal cancer management—current evidence and future prospects
M Ferro, G Musi, M Marchioni, M Maggi… - International journal of …, 2023 - mdpi.com
Renal cancer management is challenging from diagnosis to treatment and follow-up. In
cases of small renal masses and cystic lesions the differential diagnosis of benign or …
cases of small renal masses and cystic lesions the differential diagnosis of benign or …
Novel imaging methods for renal mass characterization: a collaborative review
Context The incidental detection of localized renal masses has been rising steadily, but a
significant proportion of these tumors are benign or indolent and, in most cases, do not …
significant proportion of these tumors are benign or indolent and, in most cases, do not …
Artificial intelligence and radiomics in evaluation of kidney lesions: a comprehensive literature review
M Ferro, F Crocetto, B Barone… - Therapeutic …, 2023 - journals.sagepub.com
Radiomics and artificial intelligence (AI) may increase the differentiation of benign from
malignant kidney lesions, differentiation of angiomyolipoma (AML) from renal cell carcinoma …
malignant kidney lesions, differentiation of angiomyolipoma (AML) from renal cell carcinoma …
Machine learning applications in detection and diagnosis of urology cancers: a systematic literature review
Deep learning integration in cancer diagnosis enhances accuracy and diagnosis speed
which helps clinical decision-making and improves health outcomes. Despite all these …
which helps clinical decision-making and improves health outcomes. Despite all these …
Artificial intelligence in urooncology: what we have and what we expect
A Froń, A Semianiuk, U Lazuk, K Ptaszkowski… - Cancers, 2023 - mdpi.com
Simple Summary Our study provides an overview of the current state of artificial intelligence
applications in urooncology and explores potential future advancements in this field. With …
applications in urooncology and explores potential future advancements in this field. With …
The cancer multidisciplinary team meeting: in need of change? History, challenges and future perspectives
Two decades since their inception, multidisciplinary teams (MDTs) are widely regarded as
the 'gold standard'of cancer care delivery. Benefits of MDT working include improved patient …
the 'gold standard'of cancer care delivery. Benefits of MDT working include improved patient …
Development and validation of a deep-learning model to assist with renal cell carcinoma histopathologic interpretation
OBJECTIVE To develop and test the ability of a convolutional neural network (CNN) to
accurately identify the presence of renal cell carcinoma (RCC) on histopathology …
accurately identify the presence of renal cell carcinoma (RCC) on histopathology …
Radiomics applications in renal tumor assessment: a comprehensive review of the literature
R Suarez-Ibarrola, M Basulto-Martinez, A Heinze… - Cancers, 2020 - mdpi.com
Radiomics texture analysis offers objective image information that could otherwise not be
obtained by radiologists′ subjective radiological interpretation. We investigated radiomics …
obtained by radiologists′ subjective radiological interpretation. We investigated radiomics …
Applications of neural networks in urology: a systematic review
E Checcucci, S De Cillis, S Granato… - Current Opinion in …, 2020 - journals.lww.com
In urological medicine, the application of novel artificial intelligence technologies,
particularly ANNs, have been considered to be a promising step in improving physicians' …
particularly ANNs, have been considered to be a promising step in improving physicians' …
Advances in imaging-based biomarkers in renal cell carcinoma: a critical analysis of the current literature
Simple Summary Current imaging techniques do not reliably distinguish renal cell
carcinoma from other renal diseases. This review summarizes recent advances in other …
carcinoma from other renal diseases. This review summarizes recent advances in other …