[HTML][HTML] The lancet global health commission on global eye health: vision beyond 2020
MJ Burton, J Ramke, AP Marques… - The Lancet Global …, 2021 - thelancet.com
Eye health and vision have widespread and profound implications for many aspects of life,
health, sustainable development, and the economy. Yet nowadays, many people, families …
health, sustainable development, and the economy. Yet nowadays, many people, families …
[HTML][HTML] A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta …
Background Deep learning offers considerable promise for medical diagnostics. We aimed
to evaluate the diagnostic accuracy of deep learning algorithms versus health-care …
to evaluate the diagnostic accuracy of deep learning algorithms versus health-care …
[HTML][HTML] Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension
The CONSORT 2010 statement provides minimum guidelines for reporting randomised
trials. Its widespread use has been instrumental in ensuring transparency in the evaluation …
trials. Its widespread use has been instrumental in ensuring transparency in the evaluation …
[HTML][HTML] Symptoms and risk factors for long COVID in non-hospitalized adults
Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection is associated with
a range of persistent symptoms impacting everyday functioning, known as post-COVID-19 …
a range of persistent symptoms impacting everyday functioning, known as post-COVID-19 …
[HTML][HTML] Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension
The SPIRIT 2013 statement aims to improve the completeness of clinical trial protocol
reporting by providing evidence-based recommendations for the minimum set of items to be …
reporting by providing evidence-based recommendations for the minimum set of items to be …
Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
A growing number of artificial intelligence (AI)-based clinical decision support systems are
showing promising performance in preclinical, in silico, evaluation, but few have yet …
showing promising performance in preclinical, in silico, evaluation, but few have yet …
[HTML][HTML] A foundation model for generalizable disease detection from retinal images
Medical artificial intelligence (AI) offers great potential for recognizing signs of health
conditions in retinal images and expediting the diagnosis of eye diseases and systemic …
conditions in retinal images and expediting the diagnosis of eye diseases and systemic …
[HTML][HTML] The medical algorithmic audit
Artificial intelligence systems for health care, like any other medical device, have the
potential to fail. However, specific qualities of artificial intelligence systems, such as the …
potential to fail. However, specific qualities of artificial intelligence systems, such as the …
[HTML][HTML] A global review of publicly available datasets for ophthalmological imaging: barriers to access, usability, and generalisability
Health data that are publicly available are valuable resources for digital health research.
Several public datasets containing ophthalmological imaging have been frequently used in …
Several public datasets containing ophthalmological imaging have been frequently used in …
[HTML][HTML] Characteristics of publicly available skin cancer image datasets: a systematic review
Publicly available skin image datasets are increasingly used to develop machine learning
algorithms for skin cancer diagnosis. However, the total number of datasets and their …
algorithms for skin cancer diagnosis. However, the total number of datasets and their …