External validation of deep learning algorithms for radiologic diagnosis: a systematic review
Purpose To assess generalizability of published deep learning (DL) algorithms for radiologic
diagnosis. Materials and Methods In this systematic review, the PubMed database was …
diagnosis. Materials and Methods In this systematic review, the PubMed database was …
Current challenges and future opportunities for XAI in machine learning-based clinical decision support systems: a systematic review
Machine Learning and Artificial Intelligence (AI) more broadly have great immediate and
future potential for transforming almost all aspects of medicine. However, in many …
future potential for transforming almost all aspects of medicine. However, in many …
Making the most of text semantics to improve biomedical vision–language processing
Multi-modal data abounds in biomedicine, such as radiology images and reports.
Interpreting this data at scale is essential for improving clinical care and accelerating clinical …
Interpreting this data at scale is essential for improving clinical care and accelerating clinical …
Deep learning-enabled medical computer vision
A decade of unprecedented progress in artificial intelligence (AI) has demonstrated the
potential for many fields—including medicine—to benefit from the insights that AI techniques …
potential for many fields—including medicine—to benefit from the insights that AI techniques …
[HTML][HTML] Clinically applicable AI system for accurate diagnosis, quantitative measurements, and prognosis of COVID-19 pneumonia using computed tomography
Many COVID-19 patients infected by SARS-CoV-2 virus develop pneumonia (called novel
coronavirus pneumonia, NCP) and rapidly progress to respiratory failure. However, rapid …
coronavirus pneumonia, NCP) and rapidly progress to respiratory failure. However, rapid …
Applications of machine learning to diagnosis and treatment of neurodegenerative diseases
MA Myszczynska, PN Ojamies, AMB Lacoste… - Nature reviews …, 2020 - nature.com
Globally, there is a huge unmet need for effective treatments for neurodegenerative
diseases. The complexity of the molecular mechanisms underlying neuronal degeneration …
diseases. The complexity of the molecular mechanisms underlying neuronal degeneration …
A weakly-supervised framework for COVID-19 classification and lesion localization from chest CT
Accurate and rapid diagnosis of COVID-19 suspected cases plays a crucial role in timely
quarantine and medical treatment. Developing a deep learning-based model for automatic …
quarantine and medical treatment. Developing a deep learning-based model for automatic …
Deep learning-based detection for COVID-19 from chest CT using weak label
Accurate and rapid diagnosis of COVID-19 suspected cases plays a crucial role in timely
quarantine and medical treatment. Developing a deep learning-based model for automatic …
quarantine and medical treatment. Developing a deep learning-based model for automatic …
Key challenges for delivering clinical impact with artificial intelligence
Background Artificial intelligence (AI) research in healthcare is accelerating rapidly, with
potential applications being demonstrated across various domains of medicine. However …
potential applications being demonstrated across various domains of medicine. However …
Automatic detection of 39 fundus diseases and conditions in retinal photographs using deep neural networks
LP Cen, J Ji, JW Lin, ST Ju, HJ Lin, TP Li… - Nature …, 2021 - nature.com
Retinal fundus diseases can lead to irreversible visual impairment without timely diagnoses
and appropriate treatments. Single disease-based deep learning algorithms had been …
and appropriate treatments. Single disease-based deep learning algorithms had been …