AIMC Topic: Humans

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Large Language Models in Neurology Research and Future Practice.

Neurology
Recent advancements in generative artificial intelligence, particularly using large language models (LLMs), are gaining increased public attention. We provide a perspective on the potential of LLMs to analyze enormous amounts of data from medical rec...

Unveiling the potential of artificial intelligence in orthopaedic surgery.

British journal of hospital medicine (London, England : 2005)
Artificial intelligence is paving the way in contemporary medical advances, with the potential to revolutionise orthopaedic surgical care. By harnessing the power of complex algorithms, artificial intelligence yields outputs that have diverse applica...

Polysocial Risk Scores: Implications for Cardiovascular Disease Risk Assessment and Management.

Current atherosclerosis reports
PURPOSE OF REVIEW: To review current evidence, discuss key knowledge gaps and identify opportunities for development, validation and application of polysocial risk scores (pSRS) for cardiovascular disease (CVD) risk prediction and population cardiova...

Arts therapies for mental disorders in COVID-19 patients: a comprehensive review.

Frontiers in public health
BACKGROUND AND OBJECTIVE: The COVID-19 global pandemic has necessitated the urgency for innovative mental health interventions. We performed a comprehensive review of the available literature on the utility and efficacy of arts therapies in treating ...

Accuracy of a Large Language Model as a new tool for optometry education.

Clinical & experimental optometry
CLINICAL RELEVANCE: The unsupervised introduction of certain Artificial Intelligence tools in optometry education may challenge the proper acquisition of accurate clinical knowledge and skills proficiency.

Can natural language processing serve as a consultant in oral surgery?

Journal of stomatology, oral and maxillofacial surgery
OBJECTIVE: In this comprehensive evaluation, ten experienced oral surgeon experts posed a total of twenty oral surgery-related questions, including dental implant and tooth extractions, to three distinct Natural Language Processing (NLP)-based chatbo...

Image factory: A method for synthesizing novel CT images with anatomical guidance.

Medical physics
BACKGROUND: Deep learning in medical applications is limited due to the low availability of large labeled, annotated, or segmented training datasets. With the insufficient data available for model training comes the inability of these networks to lea...

A novel loss function to reproduce texture features for deep learning-based MRI-to-CT synthesis.

Medical physics
BACKGROUND: Studies on computed tomography (CT) synthesis based on magnetic resonance imaging (MRI) have mainly focused on pixel-wise consistency, but the texture features of regions of interest (ROIs) have not received appropriate attention.