[HTML][HTML] Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension
The SPIRIT 2013 statement aims to improve the completeness of clinical trial protocol
reporting by providing evidence-based recommendations for the minimum set of items to be …
reporting by providing evidence-based recommendations for the minimum set of items to be …
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension
The CONSORT 2010 statement provides minimum guidelines for reporting randomised
trials. Its widespread use has been instrumental in ensuring transparency in the evaluation …
trials. Its widespread use has been instrumental in ensuring transparency in the evaluation …
Artificial intelligence and machine learning for improving glycemic control in diabetes: Best practices, pitfalls, and opportunities
Objective: Artificial intelligence and machine learning are transforming many fields including
medicine. In diabetes, robust biosensing technologies and automated insulin delivery …
medicine. In diabetes, robust biosensing technologies and automated insulin delivery …
The personal health applications of machine learning techniques in the internet of behaviors
With the swift pace of the development of artificial intelligence (AI) in diverse spheres, the
medical and healthcare fields are utilizing machine learning (ML) methodologies in …
medical and healthcare fields are utilizing machine learning (ML) methodologies in …
Wearable chemical sensors for biomarker discovery in the omics era
JR Sempionatto, JA Lasalde-Ramírez… - Nature Reviews …, 2022 - nature.com
Biomarkers are crucial biological indicators in medical diagnostics and therapy. However,
the process of biomarker discovery and validation is hindered by a lack of standardized …
the process of biomarker discovery and validation is hindered by a lack of standardized …
Diagnosis and treatment of type 1 diabetes at the dawn of the personalized medicine era
AAS Akil, E Yassin, A Al-Maraghi, E Aliyev… - Journal of translational …, 2021 - Springer
Type 1 diabetes affects millions of people globally and requires careful management to
avoid serious long-term complications, including heart and kidney disease, stroke, and loss …
avoid serious long-term complications, including heart and kidney disease, stroke, and loss …
Concordance of randomised controlled trials for artificial intelligence interventions with the CONSORT-AI reporting guidelines
APL Martindale, CD Llewellyn, RO De Visser… - Nature …, 2024 - nature.com
Abstract The Consolidated Standards of Reporting Trials extension for Artificial Intelligence
interventions (CONSORT-AI) was published in September 2020. Since its publication …
interventions (CONSORT-AI) was published in September 2020. Since its publication …
Artificial intelligence for diabetes care: current and future prospects
Artificial intelligence (AI) use in diabetes care is increasingly being explored to personalise
care for people with diabetes and adapt treatments for complex presentations. However, the …
care for people with diabetes and adapt treatments for complex presentations. However, the …
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 …
[HTML][HTML] A systematic approach to enhance the explainability of artificial intelligence in healthcare with application to diagnosis of diabetes
YC Wang, TCT Chen, MC Chiu - Healthcare Analytics, 2023 - Elsevier
Explainable artificial intelligence (XAI) tools are used to enhance the applications of existing
artificial intelligence (AI) technologies by explaining their execution processes and results. In …
artificial intelligence (AI) technologies by explaining their execution processes and results. In …