Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Advancing AI in healthcare: a comprehensive review of best practices
Abstract Artificial Intelligence (AI) and Machine Learning (ML) are powerful tools sha** the
healthcare sector. This review considers twelve key aspects of AI in clinical practice: 1) …
healthcare sector. This review considers twelve key aspects of AI in clinical practice: 1) …
Ensuring that biomedical AI benefits diverse populations
Artificial Intelligence (AI) can potentially impact many aspects of human health, from basic
research discovery to individual health assessment. It is critical that these advances in …
research discovery to individual health assessment. It is critical that these advances in …
Performance of intensive care unit severity scoring systems across different ethnicities in the USA: a retrospective observational study
Background Despite wide use of severity scoring systems for case-mix determination and
benchmarking in the intensive care unit (ICU), the possibility of scoring bias across …
benchmarking in the intensive care unit (ICU), the possibility of scoring bias across …
Explainable machine learning on AmsterdamUMCdb for ICU discharge decision support: uniting intensivists and data scientists
Objectives: Unexpected ICU readmission is associated with longer length of stay and
increased mortality. To prevent ICU readmission and death after ICU discharge, our team of …
increased mortality. To prevent ICU readmission and death after ICU discharge, our team of …
Artificial intelligence and big data in sustainable entrepreneurship
There is an urgent need to transition our economy, society, and culture towards systems and
actions that facilitate ecological sustainability. Such radical change requires equally radical …
actions that facilitate ecological sustainability. Such radical change requires equally radical …
[HTML][HTML] Develo** ethics and equity principles, terms, and engagement tools to advance health equity and researcher diversity in AI and machine learning: modified …
Background: Artificial intelligence (AI) and machine learning (ML) technology design and
development continues to be rapid, despite major limitations in its current form as a practice …
development continues to be rapid, despite major limitations in its current form as a practice …
Authentic integration of ethics and AI through sociotechnical, problem-based learning
Growing awareness of both the demand for artificial intelligence (AI) expertise and of the
societal impacts of AI systems has led to calls to integrate learning of ethics alongside …
societal impacts of AI systems has led to calls to integrate learning of ethics alongside …
Rebooting consent in the digital age: a governance framework for health data exchange
In August 2020, India announced its vision for the National Digital Health Mission (NDHM), a
federated national digital health exchange where digitised data generated by healthcare …
federated national digital health exchange where digitised data generated by healthcare …
Risks and benefits of dermatological machine learning health care applications—an overview and ethical analysis
Background Visual data are particularly amenable for machine learning techniques. With
clinical photography established for skin surveillance and documentation purposes as well …
clinical photography established for skin surveillance and documentation purposes as well …
Embedded Ethics in Practice: A Toolbox for Integrating the Analysis of Ethical and Social Issues into Healthcare AI Research
Integrating artificial intelligence (AI) into critical domains such as healthcare holds immense
promise. Nevertheless, significant challenges must be addressed to avoid harm, promote …
promise. Nevertheless, significant challenges must be addressed to avoid harm, promote …