AIMC Topic: Educational Status

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Considering the Secondary Use of Clinical and Educational Data to Facilitate the Development of Artificial Intelligence Models.

Academic medicine : journal of the Association of American Medical Colleges
Medical training programs and health care systems collect ever-increasing amounts of educational and clinical data. These data are collected with the primary purpose of supporting either trainee learning or patient care. Well-established principles g...

Modeling the influence of attitudes, trust, and beliefs on endoscopists' acceptance of artificial intelligence applications in medical practice.

Frontiers in public health
INTRODUCTION: The potential for deployment of Artificial Intelligence (AI) technologies in various fields of medicine is vast, yet acceptance of AI amongst clinicians has been patchy. This research therefore examines the role of antecedents, namely t...

Assessing the performance of ChatGPT's responses to questions related to epilepsy: A cross-sectional study on natural language processing and medical information retrieval.

Seizure
BACKGROUND: Epilepsy is a neurological condition marked by frequent seizures and various cognitive and psychological effects. Reliable information is essential for effective treatment. Natural language processing models like ChatGPT are increasingly ...

Performance of ChatGPT, Bard, Claude, and Bing on the Peruvian National Licensing Medical Examination: a cross-sectional study.

Journal of educational evaluation for health professions
PURPOSE: We aimed to describe the performance and evaluate the educational value of justifications provided by artificial intelligence chatbots, including GPT-3.5, GPT-4, Bard, Claude, and Bing, on the Peruvian National Medical Licensing Examination ...

A SWOT (Strengths, Weaknesses, Opportunities, and Threats) Analysis of ChatGPT in the Medical Literature: Concise Review.

Journal of medical Internet research
BACKGROUND: ChatGPT is a 175-billion-parameter natural language processing model that is already involved in scientific content and publications. Its influence ranges from providing quick access to information on medical topics, assisting in generati...

Role of convolutional features and machine learning for predicting student academic performance from MOODLE data.

PloS one
Predicting student performance automatically is of utmost importance, due to the substantial volume of data within educational databases. Educational data mining (EDM) devises techniques to uncover insights from data originating in educational settin...

Multi-stakeholder preferences for the use of artificial intelligence in healthcare: A systematic review and thematic analysis.

Social science & medicine (1982)
INTRODUCTION: Despite the proliferation of Artificial Intelligence (AI) technology over the last decade, clinician, patient, and public perceptions of its use in healthcare raise a number of ethical, legal and social questions. We systematically revi...

The Role of integrating AI and VR in fostering environmental awareness and enhancing activism among college students.

The Science of the total environment
Given the increasing concern about the destructive impact of sympathetic activities on the Earth, involving the next generation in environmental conservation is crucial. Therefore, this study aims to explore how artificial intelligence (AI) and virtu...

Exploring patient perspectives on how they can and should be engaged in the development of artificial intelligence (AI) applications in health care.

BMC health services research
BACKGROUND: Artificial intelligence (AI) is a rapidly evolving field which will have implications on both individual patient care and the health care system. There are many benefits to the integration of AI into health care, such as predicting acute ...

(How) ChatGPT-Artificial Intelligence Thinks It Can Help/Harm Physiatry.

American journal of physical medicine & rehabilitation
ChatGPT is a chatbot that is based on the generative pretrained transformer architecture as an artificial inteligence-based large language model. Its widespread use in healthcare practice, research, and education seems to be (increasingly) inevitable...