Artificial intelligence assists precision medicine in cancer treatment
Cancer is a major medical problem worldwide. Due to its high heterogeneity, the use of the
same drugs or surgical methods in patients with the same tumor may have different curative …
same drugs or surgical methods in patients with the same tumor may have different curative …
A narrative review on current imaging applications of artificial intelligence and radiomics in oncology: Focus on the three most common cancers
The use of artificial intelligence (AI) and radiomics in the healthcare setting to advance
disease diagnosis and management and facilitate the creation of new therapeutics is …
disease diagnosis and management and facilitate the creation of new therapeutics is …
Radiomics textural features by MR imaging to assess clinical outcomes following liver resection in colorectal liver metastases
Purpose To assess the efficacy of radiomics features obtained by T2-weighted sequences to
predict clinical outcomes following liver resection in colorectal liver metastases patients …
predict clinical outcomes following liver resection in colorectal liver metastases patients …
Radiomics and machine learning analysis based on magnetic resonance imaging in the assessment of liver mucinous colorectal metastases
Purpose The purpose of this study is to evaluate the Radiomics and Machine Learning
Analysis based on MRI in the assessment of Liver Mucinous Colorectal Metastases. Query …
Analysis based on MRI in the assessment of Liver Mucinous Colorectal Metastases. Query …
Human, all too human? An all-around appraisal of the “artificial intelligence revolution” in medical imaging
F Coppola, L Faggioni, M Gabelloni… - Frontiers in …, 2021 - frontiersin.org
Artificial intelligence (AI) has seen dramatic growth over the past decade, evolving from a
niche super specialty computer application into a powerful tool which has revolutionized …
niche super specialty computer application into a powerful tool which has revolutionized …
Medical image captioning via generative pretrained transformers
The proposed model for automatic clinical image caption generation combines the analysis
of radiological scans with structured patient information from the textual records. It uses two …
of radiological scans with structured patient information from the textual records. It uses two …
Gastrointestinal neuroendocrine neoplasms (GI-NENs): Hot topics in morphological, functional, and prognostic imaging
G Danti, F Flammia, B Matteuzzi, D Cozzi, V Berti… - La radiologia …, 2021 - Springer
Neuroendocrine neoplasms (NENs) are heterogeneous tumours with a common phenotype
descended from the diffuse endocrine system. NENs are found nearly anywhere in the body …
descended from the diffuse endocrine system. NENs are found nearly anywhere in the body …
Radiomics in medical imaging: pitfalls and challenges in clinical management
Background Radiomics and radiogenomics are two words that recur often in language of
radiologists, nuclear doctors and medical physicists especially in oncology field. Radiomics …
radiologists, nuclear doctors and medical physicists especially in oncology field. Radiomics …
CT-based radiomics analysis to predict histopathological outcomes following liver resection in colorectal liver metastases
Simple Summary The objective of the study was to assess the radiomic features obtained by
computed tomography (CT) examination as prognostic biomarkers in patients with colorectal …
computed tomography (CT) examination as prognostic biomarkers in patients with colorectal …
AI and machine learning ethics, law, diversity, and global impact
K Drabiak, S Kyzer, V Nemov… - The British journal of …, 2023 - academic.oup.com
Artificial intelligence (AI) and its machine learning (ML) algorithms are offering new promise
for personalized biomedicine and more cost-effective healthcare with impressive technical …
for personalized biomedicine and more cost-effective healthcare with impressive technical …