[HTML][HTML] Deep learning and medical image analysis for COVID-19 diagnosis and prediction
The coronavirus disease 2019 (COVID-19) pandemic has imposed dramatic challenges to
health-care organizations worldwide. To combat the global crisis, the use of thoracic …
health-care organizations worldwide. To combat the global crisis, the use of thoracic …
[HTML][HTML] Causality matters in medical imaging
Causal reasoning can shed new light on the major challenges in machine learning for
medical imaging: scarcity of high-quality annotated data and mismatch between the …
medical imaging: scarcity of high-quality annotated data and mismatch between the …
Machine learning and deep learning in medical imaging: intelligent imaging
Artificial intelligence (AI) in medical imaging is a potentially disruptive technology. An
understanding of the principles and application of radiomics, artificial neural networks …
understanding of the principles and application of radiomics, artificial neural networks …
AI-based computer-aided diagnosis (AI-CAD): the latest review to read first
H Fujita - Radiological physics and technology, 2020 - Springer
The third artificial intelligence (AI) boom is coming, and there is an inkling that the speed of
its evolution is quickly increasing. In games like chess, shogi, and go, AI has already …
its evolution is quickly increasing. In games like chess, shogi, and go, AI has already …
[HTML][HTML] A review of explainable deep learning cancer detection models in medical imaging
Deep learning has demonstrated remarkable accuracy analyzing images for cancer
detection tasks in recent years. The accuracy that has been achieved rivals radiologists and …
detection tasks in recent years. The accuracy that has been achieved rivals radiologists and …
Ethical considerations in artificial intelligence
NM Safdar, JD Banja, CC Meltzer - European journal of radiology, 2020 - Elsevier
With artificial intelligence (AI) precipitously perched at the apex of the hype curve, the
promise of transforming the disparate fields of healthcare, finance, journalism, and security …
promise of transforming the disparate fields of healthcare, finance, journalism, and security …
[HTML][HTML] Artificial intelligence and early detection of pancreatic cancer: 2020 summative review
Despite considerable research efforts, pancreatic cancer is associated with a dire prognosis
and a 5-year survival rate of only 10%. Early symptoms of the disease are mostly …
and a 5-year survival rate of only 10%. Early symptoms of the disease are mostly …
Introduction to artificial intelligence in ultrasound imaging in obstetrics and gynecology
Artificial intelligence (AI) uses data and algorithms to aim to draw conclusions that are as
good as, or even better than, those drawn by humans. AI is already part of our daily life; it is …
good as, or even better than, those drawn by humans. AI is already part of our daily life; it is …
The 2021 landscape of FDA-approved artificial intelligence/machine learning-enabled medical devices: An analysis of the characteristics and intended use
Background Machine learning (ML), a type of artificial intelligence (AI) technology that uses
a data-driven approach for pattern recognition, has been shown to be beneficial for many …
a data-driven approach for pattern recognition, has been shown to be beneficial for many …
Attention-enriched deep learning model for breast tumor segmentation in ultrasound images
Incorporating human domain knowledge for breast tumor diagnosis is challenging because
shape, boundary, curvature, intensity or other common medical priors vary significantly …
shape, boundary, curvature, intensity or other common medical priors vary significantly …