AIMC Topic: Perception
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Attitudes and perceptions of medical researchers towards the use of artificial intelligence chatbots in the scientific process: an international cross-sectional survey.
The Lancet. Digital health
Nov 15, 2024
Chatbots are artificial intelligence (AI) programs designed to simulate conversations with humans that present opportunities and challenges in scientific research. Despite growing clarity from publishing organisations on the use of AI chatbots, resea...
Distinct connectivity patterns between perception and attention-related brain networks characterize dyslexia: Machine learning applied to resting-state fMRI.
Cortex; a journal devoted to the study of the nervous system and behavior
Nov 8, 2024
Diagnosis of dyslexia often occurs in late schooling years, leading to academic and psychological challenges. Furthermore, diagnosis is time-consuming, costly, and reliant on arbitrary cutoffs. On the other hand, automated algorithms hold great poten...
Perceptions of Artificial Intelligence and ChatGPT by Speech-Language Pathologists and Students.
American journal of speech-language pathology
Nov 4, 2024
PURPOSE: This project explores the perceived implications of artificial intelligence (AI) tools and generative language tools, like ChatGPT, on practice in speech-language pathology.
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...
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...
Student Pharmacists' Perceptions of Artificial Intelligence and Machine Learning in Pharmacy Practice and Pharmacy Education.
American journal of pharmaceutical education
Oct 17, 2024
OBJECTIVE: This study explored student pharmacists' perceptions and attitudes regarding artificial intelligence (AI) and machine learning (ML) in pharmacy practice. Due to AI/ML's promising prospects, understanding students' current awareness, compre...
Assessing the nonlinear impact of green space exposure on psychological stress perception using machine learning and street view images.
Frontiers in public health
Sep 18, 2024
INTRODUCTION: Urban green space (GS) exposure is recognized as a nature-based strategy for addressing urban challenges. However, the stress relieving effects and mechanisms of GS exposure are yet to be fully explored. The development of machine learn...
A Spatio-Temporal Capsule Neural Network with Self-Correlation Routing for EEG Decoding of Semantic Concepts of Imagination and Perception Tasks.
Sensors (Basel, Switzerland)
Sep 15, 2024
Decoding semantic concepts for imagination and perception tasks (SCIP) is important for rehabilitation medicine as well as cognitive neuroscience. Electroencephalogram (EEG) is commonly used in the relevant fields, because it is a low-cost noninvasiv...
Perceived Usefulness of Robotic Technology for Patient Fall Prevention.
Workplace health & safety
Sep 13, 2024
BACKGROUND: Technology has the potential to prevent patient falls in healthcare settings and to reduce work-related injuries among healthcare providers. However, the usefulness and acceptability of each technology requires careful evaluation. Framed ...
Students' perception of the use of artificial intelligence (AI) in pharmacy school.
Currents in pharmacy teaching & learning
Sep 4, 2024
INTRODUCTION: The increasing adoption of artificial intelligence (AI) among college students, particularly in pharmacy education, raises ethical concerns and prompts debates on responsible usage. The promise of the potential to reduce workload is met...
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