Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 2,681 to 2,690 of 167,235 articles

A comparative analysis of classical machine learning models with quantum-inspired models for predicting world surface temperature.

Scientific reports
This research paper delves into the realm of quantum machine learning (QML) by conducting a comprehensive study on time-series data. The primary objective is to compare the results and time complexity of classical machine learning algorithms on tradi... read more 

Facilitators and barriers for using artificial intelligence in cancer pain assessment: a qualitative study.

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer
OBJECTIVES: This study qualitatively explored healthcare providers' perception regarding the use of modern technology, specifically artificial intelligence (AI), in the assessment and management of cancer pain. It also aimed to identify barriers to a... read more 

FPEdit: Robust LLM Fingerprinting through Localized Knowledge Editing

arXiv
Large language models represent significant investments in computation, data, and engineering expertise, making them extraordinarily valuable intellectual assets. Nevertheless, these AI assets remain vulnerable to unauthorized redistribution and co... read more 

Incorporating Artificial Intelligence into Fracture Risk Assessment: Using Clinical Imaging to Predict the Unpredictable.

Endocrinology and metabolism (Seoul, Korea)
Artificial intelligence (AI) is increasingly being explored as a complementary tool to traditional fracture risk assessment methods. Conventional approaches, such as bone mineral density measurement and established clinical risk calculators, provide ... read more 

Enhanced detection of ovarian cancer using AI-optimized 3D CNNs for PET/CT scan analysis.

Physical and engineering sciences in medicine
This study investigates how deep learning (DL) can enhance ovarian cancer diagnosis and staging using large imaging datasets. Specifically, we compare six conventional convolutional neural network (CNN) architectures-ResNet, DenseNet, GoogLeNet, U-Ne... read more 

Semi-supervised contrastive learning variational autoencoder Integrating single-cell multimodal mosaic datasets.

BMC bioinformatics
As single-cell sequencing technology became widely used, scientists found that single-modality data alone could not fully meet the research needs of complex biological systems. To address this issue, researchers began simultaneously collect multi-mod... read more 

AI-Driven Integration of Deep Learning with Lung Imaging, Functional Analysis, and Blood Gas Metrics for Perioperative Hypoxemia Prediction: Progress and Perspectives.

JMIR medical informatics
This Perspective article explores the transformative role of artificial intelligence (AI) in predicting perioperative hypoxemia through the integration of deep learning (DL) with multimodal clinical data, including lung imaging, pulmonary function te... read more 

Impact of artificial intelligence assistance on bone scintigraphy diagnosis.

Physical and engineering sciences in medicine
Bone scintigraphy is an important tool for detecting bone lesions. This study aimed to improve and evaluate the performance of our previously-developed deep learning-based model called MaligNet in helping nuclear medicine (NM) physicians interpret bo... read more 

Protecting Radiology Data and Devices Against Cybersecurity Threats: A Joint White Paper of the American College of Radiology (ACR) and Society for Imaging Informatics in Medicine (SIIM).

Journal of imaging informatics in medicine
Modern radiology relies entirely on digital imaging systems. Healthcare records draw cybercriminals' attention. On-site and cloud-based informatics systems, including artificial intelligence, can boost efficiency but also create weak points. Medical ... read more 

Enhancing Captive Welfare Management with Deep Learning: Video-Based Detection of Gibbon Behaviors Using YOWOvG.

Journal of applied animal welfare science : JAAWS
Accurate monitoring of animal behavior is critical for assessing welfare and informing conservation strategies for vulnerable species like the eastern hoolock gibbon (). To overcome limitations of manual observation and single-frame analysis in capti... read more