AIMC Topic: Humans

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From Bench to Bedside With Large Language Models: Expert Panel Narrative Review.

AJR. American journal of roentgenology
Large language models (LLMs) hold immense potential to revolutionize radiology. However, their integration into practice requires careful consideration. Artificial intelligence (AI) chatbots and general-purpose LLMs have potential pitfalls related to...

Towards quantifying biomarkers for respiratory distress in preterm infants: Machine learning on mid infrared spectroscopy of lipid mixtures.

Talanta
Neonatal respiratory distress syndrome (nRDS) is a challenging condition to diagnose which can lead to delays in receiving appropriate treatment. Mid infrared (IR) spectroscopy is capable of measuring the concentrations of two diagnostic nRDS biomark...

What's in the box? A toolbox for safe deployment of artificial intelligence in veterinary medicine.

Journal of the American Veterinary Medical Association
This report describes a comprehensive framework for applying artificial intelligence (AI) in veterinary medicine. Our framework draws on existing research on AI implementation in human medicine and addresses the challenges of limited technology exper...

The Use of AI Powered ChatGPT for Nursing Education.

The Journal of nursing education
BACKGROUND: In late 2022, an AI (artificial intelligence) application, ChatGPT (generative pre-trained transformer), was released free for public use. Although present use of AI applications are scant in nursing education, the easy access to ChatGPT ...

Validation of a novel Artificial Pharmacology Intelligence (API) system for the management of patients with polypharmacy.

Research in social & administrative pharmacy : RSAP
OBJECTIVE: Medication management of patients with polypharmacy is highly complex. We aimed to validate a novel Artificial Pharmacology Intelligence (API) algorithm to optimize the medication review process in a comprehensive, personalized, and scalab...

Non-local degradation modeling for spatially adaptive single image super-resolution.

Neural networks : the official journal of the International Neural Network Society
Existing methods for single image super-resolution (SISR) model the blur kernel as spatially invariant across the entire image, and are susceptible to the adverse effects of textureless patches. To achieve improved results, adaptive estimation of the...

Spinet-QSM: model-based deep learning with schatten p-norm regularization for improved quantitative susceptibility mapping.

Magma (New York, N.Y.)
OBJECTIVE: Quantitative susceptibility mapping (QSM) provides an estimate of the magnetic susceptibility of tissue using magnetic resonance (MR) phase measurements. The tissue magnetic susceptibility (source) from the measured magnetic field distribu...

[Artificial intelligence in kidney transplant pathology].

Pathologie (Heidelberg, Germany)
BACKGROUND: Artificial intelligence (AI) systems have showed promising results in digital pathology, including digital nephropathology and specifically also kidney transplant pathology.

Breaking Barriers in Behavioral Change: The Potential of Artificial Intelligence-Driven Motivational Interviewing.

Journal of glaucoma
Patient outcomes in ophthalmology are greatly influenced by adherence and patient participation, which can be particularly challenging in diseases like glaucoma, where medication regimens can be complex. A well-studied and evidence-based intervention...