AI-integrated ocular imaging for predicting cardiovascular disease: advancements and future outlook
Cardiovascular disease (CVD) remains the leading cause of death worldwide. Assessing of
CVD risk plays an essential role in identifying individuals at higher risk and enables the …
CVD risk plays an essential role in identifying individuals at higher risk and enables the …
The dawn of multimodal artificial intelligence in nephrology
The next generation of artificial intelligence (AI)-enabled nephrology will leverage generalist
models that link diverse multimodal patient data with the linguistic and emergent capabilities …
models that link diverse multimodal patient data with the linguistic and emergent capabilities …
Using generative AI to investigate medical imagery models and datasets
Background AI models have shown promise in performing many medical imaging tasks.
However, our ability to explain what signals these models have learned is severely lacking …
However, our ability to explain what signals these models have learned is severely lacking …
Visionfm: a multi-modal multi-task vision foundation model for generalist ophthalmic artificial intelligence
We present VisionFM, a foundation model pre-trained with 3.4 million ophthalmic images
from 560,457 individuals, covering a broad range of ophthalmic diseases, modalities …
from 560,457 individuals, covering a broad range of ophthalmic diseases, modalities …
Machine-learning-based models to predict cardiovascular risk using oculomics and clinic variables in KNHANES
Background Recent researches have found a strong correlation between the triglyceride-
glucose (TyG) index or the atherogenic index of plasma (AIP) and cardiovascular disease …
glucose (TyG) index or the atherogenic index of plasma (AIP) and cardiovascular disease …
Ocular biomarkers: useful incidental findings by deep learning algorithms in fundus photographs
Abstract Background/Objectives Artificial intelligence can assist with ocular image analysis
for screening and diagnosis, but it is not yet capable of autonomous full-spectrum screening …
for screening and diagnosis, but it is not yet capable of autonomous full-spectrum screening …
Advances in nondestructive optical characterization techniques for engineered eye-on-a-chip devices: A comprehensive review
The optical tools and techniques have been assisting in the non-destructive evaluation and
characterization of devices and materials. These optical tools have been commonly used by …
characterization of devices and materials. These optical tools have been commonly used by …
AI for identification of systemic biomarkers from external eye photos: a promising field in the oculomics revolution
DC DeBuc - The Lancet Digital Health, 2023 - thelancet.com
In The Lancet Digital Health, Boris Babenko and colleagues describe a deep learning model
for detecting systemic biomarkers from external eye photographs. 1 Their Article shows an …
for detecting systemic biomarkers from external eye photographs. 1 Their Article shows an …
Non-Invasive Hemoglobin Assessment with NIR Imaging of Blood Vessels in Transmittance Geometry: Monte Carlo and Experimental Evaluation
I Bardadin, V Petrov, G Denisenko, A Armaganov… - Photonics, 2024 - mdpi.com
Non-invasive methods for determining blood hemoglobin (Hb) concentration are urgently
needed to avoid the painful and time-consuming process of invasive venous blood …
needed to avoid the painful and time-consuming process of invasive venous blood …