AIMC Topic: Artificial Intelligence

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Generative Artificial Intelligence for Chest Radiograph Interpretation in the Emergency Department.

JAMA network open
IMPORTANCE: Multimodal generative artificial intelligence (AI) methodologies have the potential to optimize emergency department care by producing draft radiology reports from input images.

Accuracy and Reliability of Chatbot Responses to Physician Questions.

JAMA network open
IMPORTANCE: Natural language processing tools, such as ChatGPT (generative pretrained transformer, hereafter referred to as chatbot), have the potential to radically enhance the accessibility of medical information for health professionals and patien...

Fractals and artificial intelligence to decrypt ideography and understand the evolution of language.

The Behavioral and brain sciences
Self-sufficient ideographies are rare because they are stifled by the issue of standardization. Similar issues arise with abstract art or drawings created by young children or great apes. We propose that mathematical indices and artificial intelligen...

Memristors based on NdNiO nanocrystals film as sensory neurons for neuromorphic computing.

Materials horizons
By mimicking the behavior of the human brain, artificial neural systems offer the possibility to further improve computing efficiency and solve the von Neumann bottleneck. In particular, neural systems with perceptual capability expand the applicatio...

XA4C: eXplainable representation learning via Autoencoders revealing Critical genes.

PLoS computational biology
Machine Learning models have been frequently used in transcriptome analyses. Particularly, Representation Learning (RL), e.g., autoencoders, are effective in learning critical representations in noisy data. However, learned representations, e.g., the...

Multi-level perception fusion dehazing network.

PloS one
Image dehazing models are critical in improving the recognition and classification capabilities of image-related artificial intelligence systems. However, existing methods often ignore the limitations of receptive field size during feature extraction...

Performance evaluation of artificial intelligence with particle swarm optimization (PSO) to predict treatment water plant DBPs (haloacetic acids).

Chemosphere
The prevention of water-borne diseases requires the disinfection of water consumed. Disinfection by-products, however, are an increasing concern, and they require advanced knowledge of water treatment plants before their release for human consumption...