AI Medical Compendium Topic

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Chatting Beyond ChatGPT: Advancing Equity Through AI-Driven Language Interpretation.

Journal of general internal medicine
Medical interpretation is an underutilized resource, despite its legal mandate and proven efficacy in improving health outcomes for populations with low English proficiency. This disconnect can often be attributed to the costs and wait-times associat...

ProGen2: Exploring the boundaries of protein language models.

Cell systems
Attention-based models trained on protein sequences have demonstrated incredible success at classification and generation tasks relevant for artificial-intelligence-driven protein design. However, we lack a sufficient understanding of how very large-...

Large Language Models for Therapy Recommendations Across 3 Clinical Specialties: Comparative Study.

Journal of medical Internet research
BACKGROUND: As advancements in artificial intelligence (AI) continue, large language models (LLMs) have emerged as promising tools for generating medical information. Their rapid adaptation and potential benefits in health care require rigorous asses...

Transmission Versus Truth, Imitation Versus Innovation: What Children Can Do That Large Language and Language-and-Vision Models Cannot (Yet).

Perspectives on psychological science : a journal of the Association for Psychological Science
Much discussion about large language models and language-and-vision models has focused on whether these models are intelligent agents. We present an alternative perspective. First, we argue that these artificial intelligence (AI) models are cultural ...

Human-like systematic generalization through a meta-learning neural network.

Nature
The power of human language and thought arises from systematic compositionality-the algebraic ability to understand and produce novel combinations from known components. Fodor and Pylyshyn famously argued that artificial neural networks lack this cap...

Amharic political sentiment analysis using deep learning approaches.

Scientific reports
This study delves into the realm of sentiment analysis in the Amharic language, focusing on political sentences extracted from social media platforms in Ethiopia. The research employs deep learning techniques, including Convolutional Neural Networks ...

Who is calling? Optimizing source identification from marmoset vocalizations with hierarchical machine learning classifiers.

Journal of the Royal Society, Interface
With their highly social nature and complex vocal communication system, marmosets are important models for comparative studies of vocal communication and, eventually, language evolution. However, our knowledge about marmoset vocalizations predominant...

(How) ChatGPT-Artificial Intelligence Thinks It Can Help/Harm Physiatry.

American journal of physical medicine & rehabilitation
ChatGPT is a chatbot that is based on the generative pretrained transformer architecture as an artificial inteligence-based large language model. Its widespread use in healthcare practice, research, and education seems to be (increasingly) inevitable...

[Clinical application of large language models : Does ChatGPT replace medical report formulation? An experience report].

Innere Medizin (Heidelberg, Germany)
Artificial intelligence (AI)-based language models, such as ChatGPT offer an enormous potential for research and medical care but also for clinical workflow optimization by making medical documentation easier and more efficient in taking over standar...