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[Expert consensus on ethical requirements for artificial intelligence (AI) processing medical data].

Sheng Li Xue Bao

December 2024

Virtual Simulation and Artificial Intelligence Committee, Chinese Association for Physiological Sciences.

As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity.

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Background: Visual Thinking Strategies (VTS) is an evidence-based pedagogical approach that uses art analysis and structured inquiry to enhance observation, critical thinking, and teamwork, especially in medical training for clinical skills development. This study aimed to compare the short-term and delayed follow-up effects of integrating Visual Thinking Strategies and Visual Thinking Activity (VTA) tasks based on the PRISM Model with Observation Exercises (OE) on medical students' observation skills, including the number of observations, number of words used, and time spent describing observations.

Method: This pre- and post-test experimental study with a control group was conducted among first-year medical students at Gonabad University of Medical Sciences during the 2023-2024 academic year.

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Distinctive Delta and Theta Responses in Deductive and Probabilistic Reasoning.

Brain Behav

January 2025

Research Institute for Health Sciences and Technologies (SABITA), Neuroscience Research Center, Clinical Electrophysiology, Neuroimaging and Neuromodulation Lab, Istanbul Medipol University, Istanbul, Turkey.

Introduction: The neural substrates of reasoning, a cognitive ability we use constantly in daily life, are still unclear. Reasoning can be divided into two types according to how the inference process works and the certainty of the conclusions. In deductive reasoning, certain conclusions are drawn from premises by applying the rules of logic.

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People with social anxiety disorder tend to interpret ambiguous social information in a negative rather than positive manner. Such interpretation biases may cause and maintain anxiety symptoms. However, there is considerable variability in the observed effects across studies, with some not finding a relationship between interpretation biases and social anxiety.

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The rapid proliferation of mobile social networks has significantly accelerated the dissemination of misinformation, posing serious risks to social stability, public health, and democratic processes. Early detection of misinformation is essential yet challenging, particularly in contexts where initial content propagation lacks user feedback and engagement data. This study presents a novel hybrid model that combines Bidirectional Encoder Representations from Transformers (BERT) with Long Short-Term Memory (LSTM) networks to enhance the detection of misinformation using only textual content.

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