High-performance medicine: the convergence of human and artificial intelligence
EJ Topol - Nature medicine, 2019 - nature.com
The use of artificial intelligence, and the deep-learning subtype in particular, has been
enabled by the use of labeled big data, along with markedly enhanced computing power …
enabled by the use of labeled big data, along with markedly enhanced computing power …
Spectral-domain OCT measurements in Alzheimer's disease: a systematic review and meta-analysis
Topic OCT is a noninvasive tool to measure specific retinal layers in the eye. The
relationship of retinal spectral-domain (SD) OCT measurements with Alzheimer's disease …
relationship of retinal spectral-domain (SD) OCT measurements with Alzheimer's disease …
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 …
Key challenges for delivering clinical impact with artificial intelligence
Background Artificial intelligence (AI) research in healthcare is accelerating rapidly, with
potential applications being demonstrated across various domains of medicine. However …
potential applications being demonstrated across various domains of medicine. However …
Objectives, design and main findings until 2020 from the Rotterdam Study
MA Ikram, G Brusselle, M Ghanbari… - European journal of …, 2020 - Springer
Abstract The Rotterdam Study is an ongoing prospective cohort study that started in 1990 in
the city of Rotterdam, The Netherlands. The study aims to unravel etiology, preclinical …
the city of Rotterdam, The Netherlands. The study aims to unravel etiology, preclinical …
Predicting sex from retinal fundus photographs using automated deep learning
Deep learning may transform health care, but model development has largely been
dependent on availability of advanced technical expertise. Herein we present the …
dependent on availability of advanced technical expertise. Herein we present the …
Retinal imaging in Alzheimer's and neurodegenerative diseases
PJ Snyder, J Alber, C Alt, LJ Bain… - Alzheimer's & …, 2021 - Wiley Online Library
In the last 20 years, research focused on developing retinal imaging as a source of potential
biomarkers for Alzheimer's disease and other neurodegenerative diseases, has increased …
biomarkers for Alzheimer's disease and other neurodegenerative diseases, has increased …
Insights into systemic disease through retinal imaging-based oculomics
Among the most noteworthy developments in ophthalmology over the last decade has been
the emergence of quantifiable high-resolution imaging modalities, which are typically non …
the emergence of quantifiable high-resolution imaging modalities, which are typically non …
Leveraging physiology and artificial intelligence to deliver advancements in health care
Artificial intelligence in health care has experienced remarkable innovation and progress in
the last decade. Significant advancements can be attributed to the utilization of artificial …
the last decade. Significant advancements can be attributed to the utilization of artificial …
[HTML][HTML] Alzheimer's disease pathophysiology in the retina
The retina is an emerging CNS target for potential noninvasive diagnosis and tracking of
Alzheimer's disease (AD). Studies have identified the pathological hallmarks of AD …
Alzheimer's disease (AD). Studies have identified the pathological hallmarks of AD …