Artificial intelligence, nutrition, and ethical issues: A mini-review
P Detopoulou, G Voulgaridou, P Moschos… - Clinical Nutrition Open …, 2023 - Elsevier
Background and aims Artificial intelligence (AI) has expanded applications in both medicine
and biomedical sciences, focusing on medical diagnosis, risk prediction of disease onset …
and biomedical sciences, focusing on medical diagnosis, risk prediction of disease onset …
Leveraging driver vehicle and environment interaction: Machine learning using driver monitoring cameras to detect drunk driving
Excessive alcohol consumption causes disability and death. Digital interventions are
promising means to promote behavioral change and thus prevent alcohol-related harm …
promising means to promote behavioral change and thus prevent alcohol-related harm …
Machine Learning to Infer a Health State Using Biomedical Signals—Detection of Hypoglycemia in People with Diabetes while Driving Real Cars
V Lehmann, T Zueger, M Maritsch, M Notter… - NEJM AI, 2024 - ai.nejm.org
Background Hypoglycemia, one of the most dangerous acute complications of diabetes,
poses a substantial risk for vehicle accidents. To date, both reliable detection and warning of …
poses a substantial risk for vehicle accidents. To date, both reliable detection and warning of …
Artificial Intelligence to Diagnose Complications of Diabetes
AT Ayers, CN Ho, D Kerr, SL Cichosz… - Journal of Diabetes …, 2024 - journals.sagepub.com
Artificial intelligence (AI) is increasingly being used to diagnose complications of diabetes.
Artificial intelligence is technology that enables computers and machines to simulate human …
Artificial intelligence is technology that enables computers and machines to simulate human …
[HTML][HTML] Multimodal in-vehicle hypoglycemia warning for drivers with type 1 diabetes: design and evaluation in simulated and real-world driving
C Bérubé, M Maritsch, VF Lehmann… - JMIR human …, 2024 - humanfactors.jmir.org
Background: Hypoglycemia threatens cognitive function and driving safety. Previous
research investigated in-vehicle voice assistants as hypoglycemia warnings. However, they …
research investigated in-vehicle voice assistants as hypoglycemia warnings. However, they …
Smartwatches for non‐invasive hypoglycaemia detection during cognitive and psychomotor stress
M Maritsch, S Föll, V Lehmann, N Styger… - Diabetes, Obesity …, 2024 - Wiley Online Library
1 BACKGROUND Hypoglycaemia is one of the most relevant complications of diabetes 1
and induces alterations in physiological parameters 2, 3 that can be measured with …
and induces alterations in physiological parameters 2, 3 that can be measured with …
[HTML][HTML] A Novel Application of K-means Cluster Prediction Model for Diabetes Early Identification using Dimensionality Reduction Techniques
Purpose: Diabetes is a condition where the body cannot utilize insulin properly.
Maintenance of the levels of insulin in the body is mandatory, otherwise it will lead to several …
Maintenance of the levels of insulin in the body is mandatory, otherwise it will lead to several …
Binary fire hawks optimizer with deep learning driven non-invasive diabetes detection and classification.
NRP Nivetha, PS Periasamy… - Bratislava Medical …, 2024 - search.ebscohost.com
Non-invasive diabetes detection refers to the utilization and development of technologies
and methods that can monitor and diagnose diabetes without requiring invasive procedures …
and methods that can monitor and diagnose diabetes without requiring invasive procedures …
Type 2 Diabetes Mellitus Monitoring Through Non-invasive IoT-Based System
A Hussain, A ur Rehman¹, A Hussain¹, Q Li - Body Area Networks. Smart IoT and … - Springer
Type 2 diabetes (T2d), also known as diabetes mellitus or adult-onset diabetes, is a chronic
condition that disrupts the body's insulin regulation, a crucial hormone for controlling blood …
condition that disrupts the body's insulin regulation, a crucial hormone for controlling blood …