[Clinical simulation and artificial intelligence: catalysts for transformation in the healthcare sector] [0.03%]
[临床模拟和人工智能：医疗领域变革的催化剂]
Mohamed Benfatah,Ilham Elazizi,Abderrahmane Lamiri
Mohamed Benfatah
The integration of clinical simulation and artificial intelligence (AI) into healthcare education and practice is a powerful driver of transformation in the field. Contrary to some common misconceptions, these technologies are not intended ...
[Generative AI for Nursing: A New Tool for Collaborative Writing] [0.03%]
基于生成式人工智能的协作型护理写作新模式探索——机遇与挑战
Antoine Lamer,Paul Quindroit,Julien Nonnez
Antoine Lamer
Generative artificial intelligence, particularly through large language models (LLMs), is attracting growing interest in healthcare. While the literature and applications have mainly focused on supporting medical diagnosis, a major and more...
["While the algorithm manages blood sugar levels, it cannot replace the doctor-patient relationship"] [0.03%]
人工智能控糖 但医患关系不能被取代
Diane Bargain
Diane Bargain
Hybrid closed-loop systems have revolutionized the management of type 1 diabetes by partially automating insulin delivery. Algorithms control the flow rate of an insulin pump and improve glycemic control as well as patients' quality of life...
[AI and health data: What are the implications for nursing practice?] [0.03%]
[人工智能与健康数据：对护理实践的影响是什么？]
Paul Quindroit,Judith Leblanc
Paul Quindroit
Artificial intelligence (AI) is gradually becoming more prevalent in healthcare, drawing on the analysis of health data generated daily by healthcare professionals. This article clarifies the main types of data used by AI and describes thei...
[Artificial intelligence in paramedical research: A narrative literature review] [0.03%]
辅助医学研究中的人工智能：文献综述
Guillaume Davy
Guillaume Davy
Allied health professionals play an essential role in scientific output. However, the process of writing still represents a challenge for them, leading to underproduction, particularly due to barriers related to research culture, language c...
[The use of AI by healthcare executives: What is the reality, what are the challenges, and what training is needed?] [0.03%]
医疗高管如何利用AI：当前的现实、面临的挑战及所需的培训
Loïc Martin,Paul Quindroit,Yann Le Faou
Loïc Martin
The development of artificial intelligence (AI) in healthcare facilities, in line with national policies, faces a mixed reality. Healthcare executives remain poorly trained in digital technology. Studies show that AI can enhance their abili...
Agathe Voillemet
Agathe Voillemet
The integration of artificial intelligence (AI) into healthcare represents a legal challenge regarding patient self-determination. Although patients must be informed about the use of this technology in their care, the processing of their pe...
Lucie Alleaume,Clara Personat
Lucie Alleaume
Artificial intelligence in healthcare offers significant opportunities, provided it is deployed within a controlled framework. Quality assurance, risk management, governance, and human oversight must accompany these tools throughout their e...
Paul Quindroit
Paul Quindroit
[Mental health symptoms during the Covid-19 pandemic and hypertension in Morocco] [0.03%]
新冠疫情下的高血压与心理健康症状（摩洛哥）
Abdeslam El Kardoudi,Mounir Ouzir,Ahmed Chetoui et al.
Abdeslam El Kardoudi et al.
The Covid-19 pandemic has had well-established effects on mental health. However, few studies have examined its specific impact on people with hypertension. To address this gap, a study was conducted in the Beni Mellal province, Morocco, to...