AIMC Topic: Humans

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Understanding natural language: Potential application of large language models to ophthalmology.

Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
Large language models (LLMs), a natural language processing technology based on deep learning, are currently in the spotlight. These models closely mimic natural language comprehension and generation. Their evolution has undergone several waves of in...

Natural Language Processing in medicine and ophthalmology: A review for the 21st-century clinician.

Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
Natural Language Processing (NLP) is a subfield of artificial intelligence that focuses on the interaction between computers and human language, enabling computers to understand, generate, and derive meaning from human language. NLP's potential appli...

A deep learning framework for the early detection of multi-retinal diseases.

PloS one
Retinal images play a pivotal contribution to the diagnosis of various ocular conditions by ophthalmologists. Extensive research was conducted to enable early detection and timely treatment using deep learning algorithms for retinal fundus images. Qu...

Machine learning based method for analyzing vibration and noise in large cruise ships.

PloS one
Cruise ships are distinguished as special passenger ships, transporting passengers to various ports and giving importance to comfort. High comfort can attract lots of passengers and generate substantial profits. Vibration and noise are the most impor...

Caution Regarding ChatGPT's Appropriateness and Reliability Regarding Surgery for Wrist Arthritis.

Hand (New York, N.Y.)
BACKGROUND: Chat Generative Pre-Trained Transformer (ChatGPT), an artificial intelligence (AI) program, is widely used for information compilation. This study sought to analyze the quality and consistency of the information generated by ChatGPT regar...

Predicting Intimate Partner Violence Perpetration Among Young Adults Experiencing Homelessness in Seven U.S. Cities Using Interpretable Machine Learning.

Journal of interpersonal violence
Young adults experiencing homelessness (YAEH) are at higher risk for intimate partner violence (IPV) victimization than their housed peers. This is often due to their increased vulnerability to abuse and victimization before and during homelessness, ...

RadImageNet and ImageNet as Datasets for Transfer Learning in the Assessment of Dental Radiographs: A Comparative Study.

Journal of imaging informatics in medicine
Transfer learning (TL) is an alternative approach to the full training of deep learning (DL) models from scratch and can transfer knowledge gained from large-scale data to solve different problems. ImageNet, which is a publicly available large-scale ...

Multi-reader multiparametric DECT study evaluating different strengths of iterative and deep learning-based image reconstruction techniques.

European radiology
OBJECTIVES: To perform a multi-reader comparison of multiparametric dual-energy computed tomography (DECT) images reconstructed with deep-learning image reconstruction (DLIR) and standard-of-care adaptive statistical iterative reconstruction-V (ASIR-...