AIMC Topic: Reproducibility of Results
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Enhancing quantitative coronary angiography (QCA) with advanced artificial intelligence: comparison with manual QCA and visual estimation.
The international journal of cardiovascular imaging
Jan 29, 2025
Artificial intelligence-based quantitative coronary angiography (AI-QCA) was introduced to address manual QCA's limitations in reproducibility and correction process. The present study aimed to assess the performance of an updated AI-QCA solution (MP...
Exploring the Credibility of Large Language Models for Mental Health Support: Protocol for a Scoping Review.
JMIR research protocols
Jan 29, 2025
BACKGROUND: The rapid evolution of large language models (LLMs), such as Bidirectional Encoder Representations from Transformers (BERT; Google) and GPT (OpenAI), has introduced significant advancements in natural language processing. These models are...
The case against machine vision for the control of wearable robotics: Challenges for commercial adoption.
Science robotics
Jan 29, 2025
Deploying machine vision for wearable robot control faces challenges in terms of usability, reliability, privacy, and costs.
Artificial intelligence methods applied to longitudinal data from electronic health records for prediction of cancer: a scoping review.
BMC medical research methodology
Jan 28, 2025
BACKGROUND: Early detection and diagnosis of cancer are vital to improving outcomes for patients. Artificial intelligence (AI) models have shown promise in the early detection and diagnosis of cancer, but there is limited evidence on methods that ful...
Development of a one-step multiplex RT-qPCR method for rapid detection of bovine diarrhea viruses.
Frontiers in cellular and infection microbiology
Jan 28, 2025
INTRODUCTION: Viral calf diarrhea poses a significant challenge to the cattle industry worldwide due to its high morbidity and mortality rates, leading to substantial economic losses. The clinical symptoms associated with various diarrhea pathogens o...
Reverse Transcriptase Polymerase Chain Reaction
Diarrhea Viruses, Bovine Viral
Bovine Virus Diarrhea-Mucosal Disease
Real-Time Polymerase Chain Reaction
Cattle
Reproducibility of Results
Kobuvirus
Multiplex Polymerase Chain Reaction
Cattle Diseases
Sensitivity and Specificity
Torovirus
Diarrhea
Feces
Animals
DNA Primers
Identifying Primary Sites of Spinal Metastases: Expert-Derived Features vs. ResNet50 Model Using Nonenhanced MRI.
Journal of magnetic resonance imaging : JMRI
Jan 27, 2025
BACKGROUND: The spinal column is a frequent site for metastases, affecting over 30% of solid tumor patients. Identifying the primary tumor is essential for guiding clinical decisions but often requires resource-intensive diagnostics.
A fuzzy logic approach to improve the sensitivity of the rapid entire body assessment method.
International journal of occupational safety and ergonomics : JOSE
Jan 27, 2025
Conventional ergonomic observation methods, such as rapid entire body assessment (REBA), are limited in their sensitivity and reliability, particularly in detecting changes in input variables. This study integrates fuzzy logic with the REBA method, u...
Preliminary investigation of an artificial intelligence-based cognitive behavioral therapy training tool.
Psychotherapy (Chicago, Ill.)
Jan 27, 2025
We developed an asynchronous online cognitive behavioral therapy (CBT) training tool that provides artificial intelligence- (AI-) enabled feedback to learners across eight CBT skills. We sought to evaluate the technical reliability and to ascertain h...
Deep learning for forensic age estimation using orthopantomograms in children, adolescents, and young adults.
European radiology
Jan 25, 2025
OBJECTIVES: Forensic age estimation from orthopantomograms (OPGs) can be performed more quickly and accurately using convolutional neural networks (CNNs), making them an ideal extension to standard forensic age estimation methods. This study evaluate...
A platform combining automatic segmentation and automatic measurement of the maxillary sinus and adjacent structures.
Clinical oral investigations
Jan 25, 2025
OBJECTIVES: To develop a platform including a deep convolutional neural network (DCNN) for automatic segmentation of the maxillary sinus (MS) and adjacent structures, and automatic algorithms for measuring 3-dimensional (3D) clinical parameters.
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