AIMC Topic: Cross-Sectional Studies
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Pharmacy students' perception and knowledge of chat-based artificial intelligence tools at a Nigerian University.
BMC medical education
Oct 31, 2024
BACKGROUND: Chat-based Artificial Intelligence (AI) tools, such as ChatGPT, are becoming integral to various aspects of pharmacy education. However, their integration into the curriculum faces challenges due to students' varying levels of knowledge a...
Medical students and house officers' perception, attitude and potential barriers towards artificial intelligence in Egypt, cross sectional survey.
BMC medical education
Oct 31, 2024
BACKGROUND: Artificial intelligence (AI) is one of the sectors of medical research that is expanding the fastest right now in healthcare. AI has rapidly advanced in the field of medicine, helping to treat a variety of illnesses and reducing the numbe...
Comparative accuracy of artificial intelligence chatbots in pulpal and periradicular diagnosis: A cross-sectional study.
Computers in biology and medicine
Oct 30, 2024
OBJECTIVES: This study aimed to evaluate the diagnostic accuracy and treatment recommendation performance of four artificial intelligence chatbots in fictional pulpal and periradicular disease cases. Additionally, it investigated response consistency...
Prediction of Suicidal Thoughts and Suicide Attempts in People Who Gamble Based on Biological-Psychological-Social Variables: A Machine Learning Study.
The Psychiatric quarterly
Oct 28, 2024
Recent research has shown that people who gamble are more likely to have suicidal thoughts and attempts compared to the general population. Despite the advancements made, no study to date has predicted suicide risk factors in people who gamble using ...
Tapping Into Awareness: Assessing Nursing Students' Water Consumption Behaviors and Sustainability Perceptions Through a Cross-Sectional Study With Machine Learning Approach.
Public health nursing (Boston, Mass.)
Oct 27, 2024
INTRODUCTION: Investigating water consumption behaviors and perceptions of water sustainability among nursing students is crucial for effective resource management. This study employs machine learning (ML) techniques to analyze these factors in detai...
Artificial intelligence in rheumatology: perspectives and insights from a nationwide survey of U.S. rheumatology fellows.
Rheumatology international
Oct 25, 2024
Artificial Intelligence (AI) is poised to revolutionize healthcare by enhancing clinical practice, diagnostics, and patient care. Although AI offers potential benefits through data-driven insights and personalized treatments, challenges related to im...
Detection of Macular Neovascularization in Eyes Presenting with Macular Edema using OCT Angiography and a Deep Learning Model.
Ophthalmology. Retina
Oct 24, 2024
PURPOSE: To test the diagnostic performance of an artificial intelligence algorithm for detecting and segmenting macular neovascularization (MNV) with OCT and OCT angiography (OCTA) in eyes with macular edema from various diagnoses.
Humans
Diabetic Retinopathy
Middle Aged
Retinal Neovascularization
Deep Learning
Retinal Vein Occlusion
Visual Acuity
Tomography, Optical Coherence
Fundus Oculi
Aged
Algorithms
Macular Edema
Aged, 80 and over
Prospective Studies
Fluorescein Angiography
Cross-Sectional Studies
Female
Macula Lutea
Male
Evaluation of neonatal nurses' anxiety and readiness levels towards the use of artificial intelligence.
Journal of pediatric nursing
Oct 18, 2024
OBJECTIVEC: This is a cross-sectional and descriptive study to determine the levels of artificial intelligence anxiety and readiness of neonatal nurses.
The impact of artificial intelligence on the knowledge, attitude, and practice of pharmacists across diverse settings: A cross-sectional study.
International journal of medical informatics
Oct 16, 2024
The pharmacy practice landscape is undergoing a significant transformation with the increasing integration of artificial intelligence (AI). As essential members of the healthcare team, pharmacists' readiness and willingness to adopt AI technologies i...
Determining domestic violence against women using machine learning methods: The case of Türkiye.
Journal of evaluation in clinical practice
Oct 13, 2024
BACKGROUND: Domestic violence against women is a pervasive issue globally, representing a severe violation of human rights and a significant public health concern. The hidden nature of such violence and its frequent underreporting make it a critical ...
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