AIMC Journal:
Radiology

Showing 321 to 330 of 374 articles

Improved Vertebral Fracture Assessment: The Game-Changing Potential of Deep Learning with Multidetector CT.

Radiology Mar 1, 2024
Spinal Fractures Deep Learning Multidetector Computed Tomography Humans
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AsymMirai: Interpretable Mammography-based Deep Learning Model for 1-5-year Breast Cancer Risk Prediction.

Radiology Mar 1, 2024
Background Mirai, a state-of-the-art deep learning-based algorithm for predicting short-term breast cancer risk, outperforms standard clinical risk models. However, Mirai is a black box, risking overreliance on the algorithm and incorrect diagnoses. ...
Deep Learning Mammography Breast Neoplasms Middle Aged Breast Humans Retrospective Studies Female
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Launching a New Era of Artificial Intelligence in Health Care.

Radiology Mar 1, 2024
Artificial Intelligence Delivery of Health Care Humans
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Environmental Sustainability and AI in Radiology: A Double-Edged Sword.

Radiology Feb 1, 2024
According to the World Health Organization, climate change is the single biggest health threat facing humanity. The global health care system, including medical imaging, must manage the health effects of climate change while at the same time addressi...
Radiology Climate Change Humans Artificial Intelligence Big Data Radiography
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Ultrafast Brain MRI with Deep Learning Reconstruction for Suspected Acute Ischemic Stroke.

Radiology Feb 1, 2024
Background Deep learning (DL)-accelerated MRI can substantially reduce examination times. However, studies prospectively evaluating the diagnostic performance of DL-accelerated MRI reconstructions in acute suspected stroke are lacking. Purpose To inv...
Magnetic Resonance Imaging Ischemic Stroke Male Deep Learning Stroke Brain Female Reproducibility of Results Aged Humans Prospective Studies
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AI-accelerated MRI for Acute Stroke: Faster Acquisitions, Faster Diagnoses.

Radiology Feb 1, 2024
Artificial Intelligence Magnetic Resonance Imaging Humans Stroke
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A CT-based Deep Learning Model for Predicting Subsequent Fracture Risk in Patients with Hip Fracture.

Radiology Jan 1, 2024
Background Patients have the highest risk of subsequent fractures in the first few years after an initial fracture, yet models to predict short-term subsequent risk have not been developed. Purpose To develop and validate a deep learning prediction m...
Area Under Curve Retrospective Studies Female Humans Adult Hip Fractures Aged Tomography, X-Ray Computed Deep Learning
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AI-powered Hyperrealism: Next Step in Cinematic Rendering?

Radiology Jan 1, 2024
Background Recent advancements in artificial intelligence (AI)-powered image generation present opportunities to enhance three-dimensional medical images. Diffusion, an iterative denoising process, represents the standard of many of the current tools...
Humans Artificial Intelligence Hand Radiologists Upper Extremity Skin
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Strategies for Implementing Machine Learning Algorithms in the Clinical Practice of Radiology.

Radiology Jan 1, 2024
Despite recent advancements in machine learning (ML) applications in health care, there have been few benefits and improvements to clinical medicine in the hospital setting. To facilitate clinical adaptation of methods in ML, this review proposes a s...
Radiography Radiology Machine Learning Algorithms Humans Artificial Intelligence
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Chatbots and Large Language Models in Radiology: A Practical Primer for Clinical and Research Applications.

Radiology Jan 1, 2024
Although chatbots have existed for decades, the emergence of transformer-based large language models (LLMs) has captivated the world through the most recent wave of artificial intelligence chatbots, including ChatGPT. Transformers are a type of neura...
Humans Artificial Intelligence Benchmarking Radiography Industry Radiology
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