The potential of artificial intelligence to improve patient safety: a scoping review
Artificial intelligence (AI) represents a valuable tool that could be used to improve the safety
of care. Major adverse events in healthcare include: healthcare-associated infections …
of care. Major adverse events in healthcare include: healthcare-associated infections …
Recent applications of machine learning and deep learning models in the prediction, diagnosis, and management of diabetes: a comprehensive review
E Afsaneh, A Sharifdini, H Ghazzaghi… - Diabetology & Metabolic …, 2022 - Springer
Diabetes as a metabolic illness can be characterized by increased amounts of blood
glucose. This abnormal increase can lead to critical detriment to the other organs such as …
glucose. This abnormal increase can lead to critical detriment to the other organs such as …
Machine learning techniques for hypoglycemia prediction: trends and challenges
(1) Background: the use of machine learning techniques for the purpose of anticipating
hypoglycemia has increased considerably in the past few years. Hypoglycemia is the drop in …
hypoglycemia has increased considerably in the past few years. Hypoglycemia is the drop in …
Data-based algorithms and models using diabetics real data for blood glucose and hypoglycaemia prediction–a systematic literature review
Background and aim Hypoglycaemia prediction play an important role in diabetes
management being able to reduce the number of dangerous situations. Thus, it is relevant to …
management being able to reduce the number of dangerous situations. Thus, it is relevant to …
Artificial intelligence in brain tumour surgery—an emerging paradigm
S Williams, H Layard Horsfall, JP Funnell… - Cancers, 2021 - mdpi.com
Simple Summary Artificial intelligence (AI) is the branch of computer science that enables
machines to learn, reason, and problem solve. In recent decades, AI has been developed …
machines to learn, reason, and problem solve. In recent decades, AI has been developed …
Commercial and scientific solutions for blood glucose monitoring—a review
Diabetes is a chronic and, according to the state of the art, an incurable disease. Therefore,
to treat diabetes, regular blood glucose monitoring is crucial since it is mandatory to mitigate …
to treat diabetes, regular blood glucose monitoring is crucial since it is mandatory to mitigate …
Nocturnal hypoglycemia in the era of continuous glucose monitoring
B Kulzer, G Freckmann, R Ziegler… - Journal of Diabetes …, 2024 - journals.sagepub.com
Nocturnal hypoglycemia is a common acute complication of people with diabetes on insulin
therapy. In particular, the inability to control glucose levels during sleep, the impact of …
therapy. In particular, the inability to control glucose levels during sleep, the impact of …
Explainable machine learning for real-time hypoglycemia and hyperglycemia prediction and personalized control recommendations
C Duckworth, MJ Guy, A Kumaran… - Journal of Diabetes …, 2024 - journals.sagepub.com
Background: The occurrences of acute complications arising from hypoglycemia and
hyperglycemia peak as young adults with type 1 diabetes (T1D) take control of their own …
hyperglycemia peak as young adults with type 1 diabetes (T1D) take control of their own …
Data-based modeling for hypoglycemia prediction: Importance, trends, and implications for clinical practice
L Zhang, L Yang, Z Zhou - Frontiers in Public Health, 2023 - frontiersin.org
Background and objective Hypoglycemia is a key barrier to achieving optimal glycemic
control in people with diabetes, which has been proven to cause a set of deleterious …
control in people with diabetes, which has been proven to cause a set of deleterious …
Machine learning for initial insulin estimation in hospitalized patients
Objective The study sought to determine whether machine learning can predict initial
inpatient total daily dose (TDD) of insulin from electronic health records more accurately …
inpatient total daily dose (TDD) of insulin from electronic health records more accurately …