AIMC Topic: Humans

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Large language model chatbots for patient education in kidney stones: a scoping review.

World journal of urology
PURPOSE: In 2024, 17% of adults reported using an artificial intelligence (AI) chatbot at least once a month as a source of health information, rising to 25% among those under 30. We aim to conduct a scoping review of the existing literature assessin...

In silico Techniques for the Investigation of Bioactive Compounds in Quinoa (Chenopodium quinoa Willd.): Recent Advances in Molecular Modeling and Identification of Therapeutic Targets.

Plant foods for human nutrition (Dordrecht, Netherlands)
Quinoa (Chenopodium quinoa Willd.) is a valuable source of bioactive compounds with therapeutic potential, including peptides, saponins, and polyphenols. In recent years, in silico tools have emerged as key strategies for predicting, characterizing, ...

Development and validation of a predictive model for adherent perirenal fat based on CT radiomics and deep learning.

World journal of urology
PURPOSE: The study aimed to develop and validate a predictive model for preoperative APF using computed tomography (CT) radiomics combined with deep learning, and validating the performance of the model in an independent cohort.

Between Acceptance and Scepticism: An Investigation into Secondary School Students' Attitudes toward Artificial Intelligence in Chemistry Education.

Chimia
Artificial Intelligence (AI) is increasingly integrated into daily life and various other sectors, including medicine, agriculture, and education. While AI offers personalized learning, automated feedback, and reduced teacher workload, its formal use...

Have to Shake It Up: STEM Education Feeling the Heat from Artificial Intelligence.

Chimia
General-purpose AI already correctly solves most traditional assessment problems in first-year STEM education, and it continues to become more proficient with every release. This quiet superheating of familiar practices by increasing AI capabilities ...

Evaluating Web Retrieval-Assisted Large Language Models With and Without Whitelisting for Evidence-Based Neurology: Comparative Study.

Journal of medical Internet research
BACKGROUND: Large language models (LLMs) coupled with real-time web retrieval are reshaping how clinicians and patients locate medical evidence, and as major search providers fuse LLMs into their interfaces, this hybrid approach might become the new ...

Individual innovativeness levels and levels of medical artificial intelligence readiness among nursing students: a cross-sectional and correlational study.

BMC medical education
AIM: This study, aimed to determine the individual innovativeness levels of nursing students and their readiness levels for medical artificial intelligence and the relationship between these two variables.

Development of a magnetically driven microrobot covered with a time-dependent film for colon drug delivery.

Journal of materials chemistry. B
Oral administration is an ideal method for drug delivery, but achieving targeted drug delivery to the colon remains a challenge. In this study, a magnetic microrobot incorporating a colon-specific method was developed, featuring both time-dependent a...

Identifying EEG-based neurobehavioral risk markers of gaming addiction using machine learning and iowa gambling task.

Biomedical physics & engineering express
Internet Gaming Disorder (IGD), Gaming Disorder (GD), and Internet Addiction represent behavioral patterns with significant psychological and neurological consequences. Affected individuals often disengage from routine activities and exhibit distress...

Multitarget neurostimulation of the deep brain: clinical opportunities, challenges, and emerging technologies.

Journal of neural engineering
Recent computational, pre-clinical, and clinical studies have demonstrated the potential for using neuromodulation through simultaneous targeting of multiple deep brain regions. This approach has already been used for therapeutic and systems neurosci...