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Identifying and Reporting Dependent Adult abuse

Latest AI and machine learning research in identifying and reporting dependent adult abuse for healthcare professionals.

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Showing 106-126 of 1,915 articles
Pan-sharpening via Symmetric Multi-Scale Correction-Enhancement Transformers.

Pan-sharpening is a widely employed technique for enhancing the quality and accuracy of remote sensi...

Detecting living microalgae in ship ballast water based on stained microscopic images and deep learning.

Motivated by the need of rapid detection of living microalgae cells in ship ballast water, this stud...

Segmentation of coronary artery and calcification using prior knowledge based deep learning framework.

BACKGROUND: Computed tomography angiography (CTA) is used to screen for coronary artery calcificatio...

Multi-Branch CNN-LSTM Fusion Network-Driven System With BERT Semantic Evaluator for Radiology Reporting in Emergency Head CTs.

The high volume of emergency room patients often necessitates head CT examinations to rule out ische...

A deep learning pipeline for systematic and accurate vertebral fracture reporting in computed tomography.

AIM: Spine fractures are a frequent and relevant diagnosis, but systematic documentation is time-con...

Empowering PET imaging reporting with retrieval-augmented large language models and reading reports database: a pilot single center study.

PURPOSE: The potential of Large Language Models (LLMs) in enhancing a variety of natural language ta...

UNAGI: Unified neighbor-aware graph neural network for multi-view clustering.

Multi-view graph refining-based clustering (MGRC) methods aim to facilitate the clustering of data v...

MyEcoReporter: a prototype for artificial intelligence-facilitated pollution reporting.

BACKGROUND: Many chemical releases are first noticed by community members, but reporting these conce...

Contrastive independent subspace analysis network for multi-view spatial information extraction.

Multi-view classification integrates features from different views to optimize classification perfor...

A universal strategy for smoothing deceleration in deep graph neural networks.

Graph neural networks (GNNs) have shown great promise in modeling graph-structured data, but the ove...

Machine learning assisted multi-signal nanozyme sensor array for the antioxidant phenolic compounds intelligent recognition.

Identifying antioxidant phenolic compounds (APs) in food plays a crucial role in understanding their...

Development and validation of a support vector machine-based nomogram for diagnosis of obstetric antiphospholipid syndrome.

BACKGROUND: Antiphospholipid Syndrome (APS) is a systemic autoimmune disorder characterized by arter...

Unsupervised Domain Adaptation for EM Image Denoising With Invertible Networks.

Electron microscopy (EM) image denoising is critical for visualization and subsequent analysis. Desp...

AI in Dental Radiology-Improving the Efficiency of Reporting With ChatGPT: Comparative Study.

BACKGROUND: Structured and standardized documentation is critical for accurately recording diagnosti...

Mapping Thrombosis Serum Markers by H-NMR Allied with Machine Learning Tools.

Machine learning and artificial intelligence tools were used to investigate the discriminatory poten...

The use of artificial intelligence for automatic analysis and reporting of software defects.

The COVID-19 pandemic marked a before and after in the business world, causing a growing demand for ...

Counterfactual learning for higher-order relation prediction in heterogeneous information networks.

Heterogeneous Information Networks (HINs) play a crucial role in modeling complex social systems, wh...

QUAIDE - Quality assessment of AI preclinical studies in diagnostic endoscopy.

Artificial intelligence (AI) holds significant potential for enhancing quality of gastrointestinal (...

RADHawk-an AI-based knowledge recommender to support precision education, improve reporting productivity, and reduce cognitive load.

BACKGROUND: Using artificial intelligence (AI) to augment knowledge is key to establishing precision...

Learning soft tissue deformation from incremental simulations.

BACKGROUND: Surgical planning for orthognathic procedures demands swift and accurate biomechanical m...

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