[HTML][HTML] The promise of digital health: then, now, and the future
A Abernethy, L Adams, M Barrett, C Bechtel… - NAM …, 2022 - ncbi.nlm.nih.gov
Over the past several decades, the development and accelerated advancement of digital
technology has prompted change across virtually all aspects of human endeavor. The …
technology has prompted change across virtually all aspects of human endeavor. The …
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] Medicine 2032: The future of cardiovascular disease prevention with machine learning and digital health technology
Abstract Machine learning (ML) refers to computational algorithms that iteratively improve
their ability to recognize patterns in data. The digitization of our healthcare infrastructure is …
their ability to recognize patterns in data. The digitization of our healthcare infrastructure is …
[HTML][HTML] The convergence of traditional and digital biomarkers through AI-assisted biosensing: A new era in translational diagnostics?
Advances in consumer electronics, alongside the fields of microfluidics and nanotechnology
have brought to the fore low-cost wearable/portable smart devices. Although numerous …
have brought to the fore low-cost wearable/portable smart devices. Although numerous …
The 2023 wearable photoplethysmography roadmap
Photoplethysmography is a key sensing technology which is used in wearable devices such
as smartwatches and fitness trackers. Currently, photoplethysmography sensors are used to …
as smartwatches and fitness trackers. Currently, photoplethysmography sensors are used to …
Assessing hemodynamics from the photoplethysmogram to gain insights into vascular age: a review from VascAgeNet
The photoplethysmogram (PPG) signal is widely measured by clinical and consumer
devices, and it is emerging as a potential tool for assessing vascular age. The shape and …
devices, and it is emerging as a potential tool for assessing vascular age. The shape and …
Glucose metabolism-inspired catalytic patches for NIR-II phototherapy of diabetic wound infection
Medical patches hold great prospects for diabetic wound administration, while their practical
effects in diabetic wound management remain mired by the complexity of wound …
effects in diabetic wound management remain mired by the complexity of wound …
[HTML][HTML] FLIRT: A feature generation toolkit for wearable data
Abstract Background and Objective: Researchers use wearable sensing data and machine
learning (ML) models to predict various health and behavioral outcomes. However, sensor …
learning (ML) models to predict various health and behavioral outcomes. However, sensor …
Dermal features derived from optoacoustic tomograms via machine learning correlate microangiopathy phenotypes with diabetes stage
Skin microangiopathy has been associated with diabetes. Here we show that skin-
microangiopathy phenotypes in humans can be correlated with diabetes stage via …
microangiopathy phenotypes in humans can be correlated with diabetes stage via …
Co-design of human-centered, explainable AI for clinical decision support
eXplainable AI (XAI) involves two intertwined but separate challenges: the development of
techniques to extract explanations from black-box AI models and the way such explanations …
techniques to extract explanations from black-box AI models and the way such explanations …