AIMC Topic: Physiology

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A tutorial activity for students to experience generative artificial intelligence: students' perceptions and actions.

Advances in physiology education Mar 19, 2025
Freely accessible generative artificial intelligence (GenAI) poses challenges to physiology education regarding learning and academic integrity. Although many studies have explored the capabilities of GenAI to complete assessments, few have implement...
Artificial Intelligence Female Humans Students Problem-Based Learning Educational Measurement Generative Artificial Intelligence Physiology Students, Medical Perception Male
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Special issue European Journal of Physiology: Artificial intelligence in the field of physiology and medicine.

Pflugers Archiv : European journal of physiology Mar 11, 2025
This special issue presents a collection of reviews on the recent advancements and applications of artificial intelligence (AI) in medicine and physiology. The topics covered include digital histopathology, generative AI, explainable AI (XAI), and et...
Precision Medicine Animals Humans Artificial Intelligence Physiology
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Current methods in explainable artificial intelligence and future prospects for integrative physiology.

Pflugers Archiv : European journal of physiology Feb 25, 2025
Explainable artificial intelligence (XAI) is gaining importance in physiological research, where artificial intelligence is now used as an analytical and predictive tool for many medical research questions. The primary goal of XAI is to make AI model...
Artificial Intelligence Animals Humans Physiology
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Transforming Physiology and Healthcare through Foundation Models.

Physiology (Bethesda, Md.) Jan 20, 2025
Recent developments in artificial intelligence (AI) may significantly alter physiological research and healthcare delivery. Whereas AI applications in medicine have historically been trained for specific tasks, recent technological advances have prod...
Physiology Humans Artificial Intelligence Delivery of Health Care
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Challenges and applications in generative AI for clinical tabular data in physiology.

Pflugers Archiv : European journal of physiology Oct 17, 2024
Recent advancements in generative approaches in AI have opened up the prospect of synthetic tabular clinical data generation. From filling in missing values in real-world data, these approaches have now advanced to creating complex multi-tables. This...
Humans Precision Medicine Artificial Intelligence Physiology
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Using neural networks for image analysis in general physiology.

The Journal of general physiology Sep 17, 2024
An article with three goals, namely, to (1) provide the set of ideas and information needed to understand, at a basic level, the application of convolutional neural networks (CNNs) to analyze images in biology; (2) trace a path to adopting and adapti...
Physiology Animals Image Processing, Computer-Assisted Neural Networks, Computer Machine Learning Humans
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The conversational AI "ChatGPT" outperforms medical students on a physiology university examination.

Advances in physiology education Jul 11, 2024
Artificial intelligence (AI) has gained massive interest with the public release of the conversational AI "ChatGPT," but it also has become a matter of concern for academia as it can easily be misused. We performed a quantitative evaluation of the pe...
Humans Artificial Intelligence Male Universities Education, Medical, Undergraduate Educational Measurement Physiology Female Students, Medical
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A partially flipped physiology classroom improves the deep learning approach of medical students.

Advances in physiology education Apr 11, 2024
This study aimed to compare the impact of the partially flipped physiology classroom (PFC) and the traditional lecture-based classroom (TLC) on students' learning approaches. The study was conducted over 5 mo at Xiangya School of Medicine from Februa...
Education, Medical, Undergraduate Physiology Educational Measurement Students, Medical Curriculum Deep Learning Male Humans Surveys and Questionnaires Female
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Exploration of physiological sensors, features, and machine learning models for pain intensity estimation.

PloS one Jul 9, 2021
In current clinical settings, typically pain is measured by a patient's self-reported information. This subjective pain assessment results in suboptimal treatment plans, over-prescription of opioids, and drug-seeking behavior among patients. In the p...
Pain Algorithms Physiology Galvanic Skin Response Humans Models, Theoretical Generalization, Stimulus Machine Learning
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Emerging machine learning approaches to phenotyping cellular motility and morphodynamics.

Physical biology Jun 17, 2021
Cells respond heterogeneously to molecular and environmental perturbations. Phenotypic heterogeneity, wherein multiple phenotypes coexist in the same conditions, presents challenges when interpreting the observed heterogeneity. Advances in live cell ...
Machine Learning Cell Movement Phenotype Physiology
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