Deep learning, a powerful tool in medical science, shows potential for non-invasive, accurate coeliac disease diagnosis, though challenges remain. Objective: This systematic review aimed to evaluate the current state of deep-learning applications in coeliac disease diagnosis and identify pot...
Four years later,deep learningremains the most promising and widely used ML technique for radiology in particular and disease detection in general. It comes as no surprise as diagnostic imagingprevailsin clinical diagnosis andimage recognitionis a natural fit for deep learning algorithms. That’s what...
Although advances in deep learning systems for image-based medical diagnosis demonstrate their potential to augment clinical decision-making, the effectiveness of physician–machine partnerships remains an open question, in part because physicians and algorithms are both susceptible to systematic errors, espe...
deep learning may be applied in cancer diagnosis, prognosis and treatment management. We also assess the current limitations and challenges for the application of deep learning in precision oncology, including the lack of phenotypically rich data and the need for more explainable deep learning models....
Regular screening for the early detection of common chronic diseases might benefit from the use of deep-learning approaches, particularly in resource-poor or remote settings. Here we show that deep-learning models can be used to identify chronic kidney disease and type 2 diabetes solely from fundus...
Deep learning in the assessment of movement disorders in Parkinson's disease Parkinson's disease and deep learning-related methods can provide some intelligent solutions for the assessment and diagnosis of Parkinson's movement disorders... Y Li,Z Chen,Y Deng - 《Applied Mathematics & Nonlinear Scie...
Parkinson's Disease (PD) automatic identification in early stages is one of the most challenging medicine-related tasks to date, since a patient may have a similar behaviour to that of a healthy individual at the very early stage of the disease. In this work, we cope with PD automatic iden...
Parkinson's Disease (PD) is a progressive neurodegenerative illness triggered by decreased dopamine secretion. Deep Learning (DL) has gained substantial attention in PD diagnosis research, with an increase in the number of published papers in this discipline. PD detection using DL has presented more...
et al. Clinically applicable deep learning for diagnosis and referral in retinal disease. Nat Med 24, 1342–1350 (2018). https://doi.org/10.1038/s41591-018-0107-6 Download citation Received19 December 2017 Accepted01 June 2018 Published13 August 2018 Issue DateSeptember 2018 DOIhttps://doi....
Deep learning (DL) has the potential to transform medical diagnostics. However, the diagnostic accuracy of DL is uncertain. Our aim was to evaluate the diagnostic accuracy of DL algorithms to identify pathology in medical imaging. Searches were conducted