Deep learning for diabetes: a systematic review
Diabetes is a chronic metabolic disorder that affects an estimated 463 million people
worldwide. Aiming to improve the treatment of people with diabetes, digital health has been …
worldwide. Aiming to improve the treatment of people with diabetes, digital health has been …
Artificial intelligence in medicine: where are we now?
S Kulkarni, N Seneviratne, MS Baig, AHA Khan - Academic radiology, 2020 - Elsevier
Artificial intelligence in medicine has made dramatic progress in recent years. However,
much of this progress is seemingly scattered, lacking a cohesive structure for the discerning …
much of this progress is seemingly scattered, lacking a cohesive structure for the discerning …
Early detection of diabetic retinopathy using PCA-firefly based deep learning model
Diabetic Retinopathy is a major cause of vision loss and blindness affecting millions of
people across the globe. Although there are established screening methods-fluorescein …
people across the globe. Although there are established screening methods-fluorescein …
Predicting conversion to wet age-related macular degeneration using deep learning
Progression to exudative 'wet'age-related macular degeneration (exAMD) is a major cause
of visual deterioration. In patients diagnosed with exAMD in one eye, we introduce an …
of visual deterioration. In patients diagnosed with exAMD in one eye, we introduce an …
Chest radiograph interpretation with deep learning models: assessment with radiologist-adjudicated reference standards and population-adjusted evaluation
A Majkowska, S Mittal, DF Steiner, JJ Reicher… - Radiology, 2020 - pubs.rsna.org
Background Deep learning has the potential to augment the use of chest radiography in
clinical radiology, but challenges include poor generalizability, spectrum bias, and difficulty …
clinical radiology, but challenges include poor generalizability, spectrum bias, and difficulty …
[图书][B] Artificial intelligence in healthcare
A Bohr, K Memarzadeh - 2020 - books.google.com
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial
intelligence as a tool in the generation and analysis of healthcare data. The book is split into …
intelligence as a tool in the generation and analysis of healthcare data. The book is split into …
Idrid: Diabetic retinopathy–segmentation and grading challenge
Diabetic Retinopathy (DR) is the most common cause of avoidable vision loss,
predominantly affecting the working-age population across the globe. Screening for DR …
predominantly affecting the working-age population across the globe. Screening for DR …
Deep learning approach to diabetic retinopathy detection
B Tymchenko, P Marchenko, D Spodarets - arXiv preprint arXiv …, 2020 - arxiv.org
Diabetic retinopathy is one of the most threatening complications of diabetes that leads to
permanent blindness if left untreated. One of the essential challenges is early detection …
permanent blindness if left untreated. One of the essential challenges is early detection …
[HTML][HTML] Development and validation of deep learning models for screening multiple abnormal findings in retinal fundus images
Purpose To develop and evaluate deep learning models that screen multiple abnormal
findings in retinal fundus images. Design Cross-sectional study. Participants For the …
findings in retinal fundus images. Design Cross-sectional study. Participants For the …
Detection of anaemia from retinal fundus images via deep learning
A Mitani, A Huang, S Venugopalan… - Nature biomedical …, 2020 - nature.com
Owing to the invasiveness of diagnostic tests for anaemia and the costs associated with
screening for it, the condition is often undetected. Here, we show that anaemia can be …
screening for it, the condition is often undetected. Here, we show that anaemia can be …