相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。
Article
Computer Science, Artificial Intelligence
Benedetta Giovanola et al.
Summary: This article explores the issue of fairness in machine learning in the healthcare field. By examining the concept of fairness from an ethical perspective, we redefine fairness and propose the requirements it should encompass. We emphasize that fairness has both a distributive dimension and a socio-relational dimension. Additionally, we identify the constitutive components of fairness and discuss the implications of fairness as an ethical value for HMLA.
Letter
Engineering, Biomedical
Shunsuke Koga
ANNALS OF BIOMEDICAL ENGINEERING
(2023)
Review
Anesthesiology
Paul McConnell et al.
Summary: This review highlights the ethical issues related to resource allocation in healthcare, including who should determine allocation, what types of research require allocation, and how to prioritize resources. It emphasizes the importance of considering specific resource availability, human resilience, population needs, and societal preferences when planning for resource allocation.
CURRENT OPINION IN ANESTHESIOLOGY
(2023)
Article
Multidisciplinary Sciences
Mohamed L. Seghier
Article
Medicine, General & Internal
Peter Lee et al.
Summary: GPT-4 is a medical chatbot that could affect the practice of medicine.
NEW ENGLAND JOURNAL OF MEDICINE
(2023)
Letter
Medicine, General & Internal
Yudai Kaneda
QJM-AN INTERNATIONAL JOURNAL OF MEDICINE
(2023)
Review
Radiology, Nuclear Medicine & Medical Imaging
Geoffrey M. Currie
Summary: The development of artificial intelligence has raised concerns about academic integrity in higher education and scientific writing. While ChatGPT has potential applications in nuclear medicine, its limitations in accuracy and fabricating information pose risks to professionalism and integrity, failing to meet expected standards.
SEMINARS IN NUCLEAR MEDICINE
(2023)
Article
Multidisciplinary Sciences
Sebastian Kruegel et al.
Summary: ChatGPT is an entertaining and informative chatbot that can provide advice and information. However, its inconsistent advice undermines users' moral judgment. Improving the design and providing digital literacy training are necessary steps to address this issue.
SCIENTIFIC REPORTS
(2023)
Article
Otorhinolaryngology
Laura J Brennan et al.
JOURNAL OF LARYNGOLOGY AND OTOLOGY
(2023)
Article
Health Care Sciences & Services
Changyu Wang et al.
Summary: ChatGPT shows promise in healthcare, but addressing potential ethical challenges is essential to prevent harm. Legal, humanistic, algorithmic, and informational perspectives all play a role in ensuring the responsible use of ChatGPT in healthcare.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2023)
Article
Education, Scientific Disciplines
Mert Karabacak et al.
Summary: Artificial intelligence (AI) and generative language models (GLMs) offer significant opportunities for improving medical education, but content quality, biases, and ethical concerns must be addressed. It is necessary to evaluate the accuracy and relevance of AI-generated content, address potential biases, and develop guidelines and policies for its use in medical education. Collaboration among educators, researchers, and practitioners is essential for developing best practices and transparent AI models. Ongoing research and interdisciplinary collaboration are necessary to fully leverage AI and GLMs in medical education while mitigating risks and obstacles.
JMIR MEDICAL EDUCATION
(2023)
Review
Computer Science, Artificial Intelligence
Tirth Dave et al.
Summary: This paper analyzes the advantages, limitations, ethical considerations, future prospects, and practical applications of ChatGPT and artificial intelligence (AI) in the healthcare and medical domains. ChatGPT is an advanced language model that uses deep learning techniques to produce human-like responses to natural language inputs. It has the potential to be used in a wide range of applications in the medical field, from identifying research topics to aiding in clinical diagnosis and helping patients manage their health. Despite its potential, the use of ChatGPT in medical writing also poses ethical and legal concerns.
FRONTIERS IN ARTIFICIAL INTELLIGENCE
(2023)
Article
Pathology
Casey Schukow et al.
ADVANCES IN ANATOMIC PATHOLOGY
(2023)
Article
Oncology
Hui Zhang et al.
Frontiers in Oncology
(2023)
Article
Medicine, General & Internal
Ranwir K. Sinha et al.
Summary: ChatGPT, a natural language processing model, is capable of interacting with humans and providing answers to queries. This study examines its ability to solve higher-order reasoning questions in pathology. The results show that ChatGPT has a high level of accuracy and can provide meaningful responses.
CUREUS JOURNAL OF MEDICAL SCIENCE
(2023)
Article
Health Care Sciences & Services
Marco Cascella et al.
Summary: This paper aims to discuss the potential applications and limitations of a recently developed large language model (LLM) called ChatGPT in the healthcare field. While AI-based language models like ChatGPT have demonstrated impressive capabilities, there is uncertainty about their performance in real-world scenarios, especially in complex medical contexts. Additionally, ethical concerns regarding the use of ChatGPT in scientific writing and its misuse in medicine and research need to be addressed. The results of the investigation highlight the importance of educating healthcare professionals on the appropriate use and potential pitfalls of AI-based LLMs in medicine.
JOURNAL OF MEDICAL SYSTEMS
(2023)
Letter
Clinical Neurology
Partha Pratim Ray et al.
JOURNAL OF CLINICAL NEUROLOGY
(2023)
Article
Health Care Sciences & Services
Juan Wang et al.
Summary: The study found that the SARS event and the COVID-19 pandemic resulted in a significant increase in medical resource supply in affected cities, while the financial autonomy of local governments in infected areas was increased, thus increasing their motivation to increase health resources. In addition, regions with only imported cases were less affected by health shocks.
INTERNATIONAL JOURNAL OF HEALTH SERVICES
(2022)
Article
Environmental Sciences
Francesco De Micco et al.
Summary: This communication introduces the Systemic Clinical Risk Management (SCRM) model for enhancing quality of care and patient safety through better interpretation of data and synthesis of different elements. An internal Learning Algorithm Risk Management (LARM) level is devised to prevent uncontrolled decision-making related to technology use. The model also advocates for bioethical co-working and suggests the best course of action from a scientific standpoint.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2022)
Article
Pediatrics
Amy Houtrow et al.
Summary: Health equity is crucial for children and youth with special health care needs (CYSHCN). However, achieving this goal requires addressing poverty, discrimination, and various barriers such as lack of resources and limited collaborations. Political, cultural, societal, and environmental interventions are necessary for eliminating health disparities and achieving health equity. Entities serving CYSHCN should be designed and implemented equitably to improve health outcomes and address disparities. This article provides a framework for health equity, highlights disparities, reviews barriers, offers strategies, and outlines a path towards a future where all CYSHCN have a fair opportunity for maximum health.
Review
Education & Educational Research
Xiancheng Wang
Summary: The National Medical Licensing Examination (NMLE) system in China has been instrumental in evaluating and guiding medical education, with a lot of experience, challenges, and prospects discussed in this commentary.
BMC MEDICAL EDUCATION
(2022)
Article
Cultural Studies
Anna Przybyszewska
Summary: This article analyzes cultural differences encountered in two areas related to work, namely interpersonal communication and work performance and attitude, based on interviews with Poles working below their skill level in Norway. It suggests that migrants who work outside of immigrant niches are more easily able to comprehend cultural differences and adapt effectively in Norway.
EUROPEAN JOURNAL OF CULTURAL STUDIES
(2022)
Editorial Material
Medicine, General & Internal
Vittoradolfo Tambone et al.
FRONTIERS IN MEDICINE
(2022)
Editorial Material
Medicine, General & Internal
Matthew M. Kavanagh et al.
Editorial Material
Computer Science, Artificial Intelligence
Luciano Floridi et al.
MINDS AND MACHINES
(2020)
Article
Computer Science, Information Systems
Sandeep Reddy et al.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
(2020)
Article
Medicine, General & Internal
Kyle J. Foreman et al.
Article
Medicine, General & Internal
Michael Marmot
