[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 …

[HTML][HTML] A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta …

X Liu, L Faes, AU Kale, SK Wagner, DJ Fu… - The lancet digital …, 2019 - thelancet.com
Background Deep learning offers considerable promise for medical diagnostics. We aimed
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

X Liu, SC Rivera, D Moher, MJ Calvert… - The Lancet Digital …, 2020 - thelancet.com
The CONSORT 2010 statement provides minimum guidelines for reporting randomised
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

A Subramanian, K Nirantharakumar, S Hughes… - Nature medicine, 2022 - nature.com
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 …

[HTML][HTML] Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension

SC Rivera, X Liu, AW Chan, AK Denniston… - The Lancet Digital …, 2020 - thelancet.com
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 guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

B Vasey, M Nagendran, B Campbell, DA Clifton… - bmj, 2022 - bmj.com
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 …

[HTML][HTML] A foundation model for generalizable disease detection from retinal images

Y Zhou, MA Chia, SK Wagner, MS Ayhan… - Nature, 2023 - nature.com
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 …

[HTML][HTML] The medical algorithmic audit

X Liu, B Glocker, MM McCradden… - The Lancet Digital …, 2022 - thelancet.com
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 …

[HTML][HTML] A global review of publicly available datasets for ophthalmological imaging: barriers to access, usability, and generalisability

SM Khan, X Liu, S Nath, E Korot, L Faes… - The Lancet Digital …, 2021 - thelancet.com
Health data that are publicly available are valuable resources for digital health research.
Several public datasets containing ophthalmological imaging have been frequently used in …

[HTML][HTML] Characteristics of publicly available skin cancer image datasets: a systematic review

D Wen, SM Khan, AJ Xu, H Ibrahim, L Smith… - The Lancet Digital …, 2022 - thelancet.com
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 …