Explainable AI for clinical and remote health applications: a survey on tabular and time series data
F Di Martino, F Delmastro - Artificial Intelligence Review, 2023 - Springer
Abstract Nowadays Artificial Intelligence (AI) has become a fundamental component of
healthcare applications, both clinical and remote, but the best performing AI systems are …
healthcare applications, both clinical and remote, but the best performing AI systems are …
Beyond accuracy: a critical review of fairness in machine learning for mobile and wearable computing
The field of mobile and wearable computing is undergoing a revolutionary integration of
machine learning. Devices can now diagnose diseases, predict heart irregularities, and …
machine learning. Devices can now diagnose diseases, predict heart irregularities, and …
[HTML][HTML] Users' Acceptability and Perceived Efficacy of mHealth for Opioid Use Disorder: Scoping Review
Background The opioid crisis continues to pose significant challenges to global public
health, necessitating the development of novel interventions to support individuals in …
health, necessitating the development of novel interventions to support individuals in …
Zoom-based Mindfulness-Oriented Recovery Enhancement plus just-in-time mindfulness practice triggered by wearable sensors for opioid craving and chronic pain
Objective The opioid crisis in the USA remains severe during the COVID-19 pandemic,
which has reduced access to evidence-based interventions. This Stage 1 randomized …
which has reduced access to evidence-based interventions. This Stage 1 randomized …
Opioid overdose detection in a murine model using a custom-designed Photoplethysmography device
OS Hoilett, JD Ummel, LE Schepers, AH Soepriatna… - IRBM, 2023 - Elsevier
Abstract Background and Objective Over 68,000 opioid-overdose related deaths occurred
within the United States in 2020 alone, indicating a need to develop technologies to help …
within the United States in 2020 alone, indicating a need to develop technologies to help …
A framework for designing fair ubiquitous computing systems
Over the past few decades, ubiquitous sensors and systems have been an integral part of
humans' everyday life. They augment human capabilities and provide personalized …
humans' everyday life. They augment human capabilities and provide personalized …
Perceptions on wearable sensor-based interventions for monitoring of opioid therapy: A qualitative study
BP Chapman, E Lucey, EW Boyer, KM Babu… - Frontiers in Digital …, 2022 - frontiersin.org
Prescription opioid use is a risk factor for the development of opioid use disorder. Digital
solutions, including wearable sensors, represent a promising opportunity for health …
solutions, including wearable sensors, represent a promising opportunity for health …
Pharmacokinetics-Informed Neural Network for Predicting Opioid Administration Moments with Wearable Sensors
Long-term and high-dose prescription opioid use places individuals at risk for opioid misuse,
opioid use disorder (OUD), and overdose. Existing methods for monitoring opioid use and …
opioid use disorder (OUD), and overdose. Existing methods for monitoring opioid use and …
[图书][B] Artificial Intelligence in Clinical Practice: How AI Technologies Impact Medical Research and Clinics
C Krittanawong - 2023 - books.google.com
Artificial Intelligence in Clinical Practice: How AI Technologies Impact Medical Research and
Clinics compiles current research on Artificial Intelligence within medical subspecialties …
Clinics compiles current research on Artificial Intelligence within medical subspecialties …
Digital biomarker applications across the spectrum of opioid use disorder
Opioid use disorder (OUD) is one of the most pressing public health problems of the past
decade, with over eighty thousand overdose-related deaths in 2021 alone. Digital …
decade, with over eighty thousand overdose-related deaths in 2021 alone. Digital …