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Teleophthalmology and retina: a review of current tools, pathways and services
Telemedicine, the use of telecommunication and information technology to deliver healthcare remotely, has evolved beyond recognition since its...
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Novel Artificial Intelligence Applications in Cardiology: Current Landscape, Limitations, and the Road to Real-World Applications
Cardiovascular diseases are the leading cause of death globally and contribute significantly to the cost of healthcare. Artificial intelligence (AI)...
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Legal concerns in health-related artificial intelligence: a sco** review protocol
BackgroundMedical innovations offer tremendous hope. Yet, similar innovations in governance (law, policy, ethics) are likely necessary if society is...
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Large Scale Semi-Automated Labeling of Routine Free-Text Clinical Records for Deep Learning
Breast cancer is a leading cause of cancer death among women in the USA. Screening mammography is effective in reducing mortality, but has a high...
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Classification of Ear Imagery Database using Bayesian Optimization based on CNN-LSTM Architecture
The external and middle ear conditions are diagnosed using a digital otoscope. The clinical diagnosis of ear conditions is suffered from restricted...
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Why imaging data alone is not enough: AI-based integration of imaging, omics, and clinical data
Artificial intelligence (AI) is currently regaining enormous interest due to the success of machine learning (ML), and in particular deep learning...
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Utility of a public-available artificial intelligence in diagnosis of polypoidal choroidal vasculopathy
PurposeTo investigate the feasibility of training an artificial intelligence (AI) on a public-available AI platform to diagnose polypoidal choroidal...
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