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Devices and Vaccines

Latest AI and machine learning research in devices and vaccines for healthcare professionals.

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Showing 1-21 of 3,914 articles
Application of Artificial Intelligence in Bone Quality and Quantity Assessment for Dental Implant Planning: A Scoping Review.

OBJECTIVES: To assess how artificial intelligence (AI) models perform in evaluating bone quality and...

Accelerating clinical evidence synthesis with large language models.

Clinical evidence synthesis largely relies on systematic reviews (SR) of clinical studies from medic...

Advanced skin cancer prediction with medical image data using MobileNetV2 deep learning and optimized techniques.

Skin cancer, especially melanoma, has become one of the most widespread and deadly diseases today. T...

YOLO-LeafNet: a robust deep learning framework for multispecies plant disease detection with data augmentation.

Plant diseases significantly harm crops, resulting in significant economic losses across the globe. ...

Machine learning enables legal risk assessment in internet healthcare using HIPAA data.

This study explores how artificial intelligence technologies can enhance the regulatory capacity for...

In Silico Digital Breast Tomosynthesis Dataset for the Comparative Analysis of Deep Learning Models in Tumor Segmentation.

The scarcity of publicly available digital breast tomosynthesis (DBT) datasets significantly limits ...

Aptamer-Mediated Artificial Synapses for Neuromorphic Modulation of Inflammatory Signaling via Organic Electrochemical Transistor.

Artificial synaptic devices that mimic neuromorphic signal processing hold great promise for bioelec...

ESR Essentials: common performance metrics in AI-practice recommendations by the European Society of Medical Imaging Informatics.

This article provides radiologists with practical recommendations for evaluating AI performance in r...

A successive framework for brain tumor interpretation using Yolo variants.

Accurate identification and segmentation of brain tumors in Magnetic Resonance Imaging (MRI) images ...

Influencing factors and dynamic changes of COVID-19 vaccine hesitancy in China: From the perspective of machine learning analysis.

Exploring the influencing factors of COVID-19 vaccine hesitancy and summarizing countermeasures is o...

Feature representation in analysing childhood vaccination defaulter risk predictors: A scoping review of studies in low-resource settings.

Childhood vaccination saves millions of lives yearly, yet over a million children in low-and middle-...

Wide-/Narrow-Bandgap Heterojunction for High Performance Differential Photodetector with Tunable Response.

Amid the rapid advancement in modern photonics and artificial intelligence, optoelectronic devices w...

Deep learning application to hyphae and spores identification in fungal fluorescence images.

This study explores the application of deep learning to fungal disease diagnosis, focusing on an aut...

How to use learning curves to evaluate the sample size for malaria prediction models developed using machine learning algorithms.

BACKGROUND: Machine learning algorithms have been used to predict malaria risk and severity, identif...

Multilevel Hydrangea-like Heterogeneous Oxides Enabling COVID-19 Progression Surveillance via Metabolic Fingerprints.

Coronavirus disease 2019 (COVID-19), a global pandemic infectious disease, requires early diagnosis ...

2D Materials for Emerging Neuromorphic Vision: From Devices to In-Sensor Computing.

The von Neumann architecture faces significant challenges in meeting the growing demand for energy-e...

Anatomically Based Multitask Deep Learning Radiomics Nomogram Predicts the Implant Failure Risk in Sinus Floor Elevation.

OBJECTIVES: To develop and assess the performance of an anatomically based multitask deep learning r...

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