Role of artificial intelligence in radiogenomics for cancers in the era of precision medicine

S Saxena, B Jena, N Gupta, S Das, D Sarmah… - Cancers, 2022 - mdpi.com
Simple Summary Recently, radiogenomics has played a significant role and offered a new
understanding of cancer's biology and behavior in response to standard therapy. It also …

Artificial intelligence for pre-operative lymph node staging in colorectal cancer: a systematic review and meta-analysis

S Bedrikovetski, NN Dudi-Venkata, HM Kroon, W Seow… - BMC cancer, 2021 - Springer
Background Artificial intelligence (AI) is increasingly being used in medical imaging
analysis. We aimed to evaluate the diagnostic accuracy of AI models used for detection of …

CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII

B Kocak, B Baessler, S Bakas, R Cuocolo… - Insights into …, 2023 - Springer
Even though radiomics can hold great potential for supporting clinical decision-making, its
current use is mostly limited to academic research, without applications in routine clinical …

LGBM: a machine learning approach for Ethereum fraud detection

RM Aziz, MF Baluch, S Patel, AH Ganie - International Journal of …, 2022 - Springer
Ethereum is a software platform that uses the concept of blockchain and decentralizes data
by distributing copies of smart contracts to thousands of individuals worldwide. Ethereum, as …

Stakeholders' perspectives on the future of artificial intelligence in radiology: a scoping review

L Yang, IC Ene, R Arabi Belaghi, D Koff, N Stein… - European …, 2022 - Springer
Objectives Artificial intelligence (AI) has the potential to impact clinical practice and
healthcare delivery. AI is of particular significance in radiology due to its use in automatic …

[图书][B] Introduction to artificial intelligence

M Flasiński - 2016 - books.google.com
In the chapters in Part I of this textbook the author introduces the fundamental ideas of
artificial intelligence and computational intelligence. In Part II he explains key AI methods …

Oncologic imaging and radiomics: a walkthrough review of methodological challenges

A Stanzione, R Cuocolo, L Ugga, F Verde, V Romeo… - Cancers, 2022 - mdpi.com
Simple Summary Radiomics could increase the value of medical images for oncologic
patients, allowing for the identification of novel imaging biomarkers and building prediction …

[HTML][HTML] Radiomics and machine learning applications in rectal cancer: current update and future perspectives

A Stanzione, F Verde, V Romeo… - World Journal of …, 2021 - ncbi.nlm.nih.gov
The high incidence of rectal cancer in both sexes makes it one of the most common tumors,
with significant morbidity and mortality rates. To define the best treatment option and …

Trends and statistics of artificial intelligence and radiomics research in Radiology, Nuclear Medicine, and Medical Imaging: bibliometric analysis

B Kocak, B Baessler, R Cuocolo, N Mercaldo… - European …, 2023 - Springer
Objective To conduct a comprehensive bibliometric analysis of artificial intelligence (AI) and
its subfields as well as radiomics in Radiology, Nuclear Medicine, and Medical Imaging …

Accuracy of automated computer-aided diagnosis for stroke imaging: a critical evaluation of current evidence

JM Wardlaw, G Mair, R Von Kummer, MC Williams… - Stroke, 2022 - Am Heart Assoc
There is increasing interest in computer applications, using artificial intelligence
methodologies, to perform health care tasks previously performed by humans, particularly in …