[HTML][HTML] Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
In the last few years, the deep learning (DL) computing paradigm has been deemed the
Gold Standard in the machine learning (ML) community. Moreover, it has gradually become …
Gold Standard in the machine learning (ML) community. Moreover, it has gradually become …
[HTML][HTML] Artificial intelligence and radiomics: fundamentals, applications, and challenges in immunotherapy
Immunotherapy offers the potential for durable clinical benefit but calls into question the
association between tumor size and outcome that currently forms the basis for imaging …
association between tumor size and outcome that currently forms the basis for imaging …
[HTML][HTML] Novel transfer learning approach for medical imaging with limited labeled data
Deep learning requires a large amount of data to perform well. However, the field of medical
image analysis suffers from a lack of sufficient data for training deep learning models …
image analysis suffers from a lack of sufficient data for training deep learning models …
Large language models for structured reporting in radiology: performance of GPT-4, ChatGPT-3.5, Perplexity and Bing
CA Mallio, AC Sertorio, C Bernetti… - La radiologia medica, 2023 - Springer
Structured reporting may improve the radiological workflow and communication among
physicians. Artificial intelligence applications in medicine are growing fast. Large language …
physicians. Artificial intelligence applications in medicine are growing fast. Large language …
Artificial intelligence to reduce or eliminate the need for gadolinium-based contrast agents in brain and cardiac MRI: a literature review
Brain and cardiac MRIs are fundamental noninvasive imaging tools, which can provide
important clinical information and can be performed without or with gadolinium-based …
important clinical information and can be performed without or with gadolinium-based …
[HTML][HTML] A study of the recent trends of immunology: Key challenges, domains, applications, datasets, and future directions
The human immune system is very complex. Understanding it traditionally required
specialized knowledge and expertise along with years of study. However, in recent times …
specialized knowledge and expertise along with years of study. However, in recent times …
[HTML][HTML] Radiation-induced lung injury—current perspectives and management
Radiotherapy plays an important role in the treatment of localized primary malignancies
involving the chest wall or intrathoracic malignancies. Secondary effects of radiotherapy on …
involving the chest wall or intrathoracic malignancies. Secondary effects of radiotherapy on …
[HTML][HTML] Epicardial and pericardial fat analysis on CT images and artificial intelligence: a literature review
F Greco, R Salgado, W Van Hecke… - … Imaging in Medicine …, 2022 - ncbi.nlm.nih.gov
The present review summarizes the available evidence on artificial intelligence (AI)
algorithms aimed to the segmentation of epicardial and pericardial adipose tissues on …
algorithms aimed to the segmentation of epicardial and pericardial adipose tissues on …
[HTML][HTML] Artificial intelligence and abdominal adipose tissue analysis: a literature review
Body composition imaging relies on assessment of tissues composition and distribution.
Quantitative data provided by body composition imaging analysis have been linked to …
Quantitative data provided by body composition imaging analysis have been linked to …
[HTML][HTML] Novel magnetic resonance imaging tools for the diagnosis of degenerative disc disease: a narrative review
Low back pain (LBP) is one of the leading causes of disability worldwide, with a significant
socioeconomic burden on healthcare systems. It is mainly caused by degenerative disc …
socioeconomic burden on healthcare systems. It is mainly caused by degenerative disc …