AIMC Topic: Image Interpretation, Computer-Assisted
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Pitfalls in Interpretive Applications of Artificial Intelligence in Radiology.
AJR. American journal of roentgenology
Jul 24, 2024
Interpretive artificial intelligence (AI) tools are poised to change the future of radiology. However, certain pitfalls may pose particular challenges for optimal AI interpretative performance. These include anatomic variants, age-related changes, po...
Deep Learning Reconstruction of Prospectively Accelerated MRI of the Pancreas: Clinical Evaluation of Shortened Breath-Hold Examinations With Dixon Fat Suppression.
Investigative radiology
Jul 23, 2024
OBJECTIVE: Deep learning (DL)-enabled magnetic resonance imaging (MRI) reconstructions can enable shortening of breath-hold examinations and improve image quality by reducing motion artifacts. Prospective studies with DL reconstructions of accelerate...
Artificial intelligence-derived left ventricular strain in echocardiography in patients treated with chemotherapy.
The international journal of cardiovascular imaging
Jul 23, 2024
Global longitudinal strain (GLS) is an echocardiographic measure to detect chemotherapy-related cardiovascular dysfunction. However, its limited availability and the needed expertise may restrict its generalization. Artificial intelligence (AI)-based...
Image Interpretation, Computer-Assisted
Observer Variation
Cardiotoxicity
Heart Ventricles
Ventricular Remodeling
Ventricular Dysfunction, Left
Neoplasms
Antineoplastic Agents
Predictive Value of Tests
Aged, 80 and over
Female
Humans
Male
Reproducibility of Results
Artificial Intelligence
Ventricular Function, Left
Aged
Stroke Volume
Retrospective Studies
Echocardiography
Middle Aged
Improved quantitative parameter estimation for prostate T relaxometry using convolutional neural networks.
Magma (New York, N.Y.)
Jul 23, 2024
OBJECTIVE: Quantitative parameter mapping conventionally relies on curve fitting techniques to estimate parameters from magnetic resonance image series. This study compares conventional curve fitting techniques to methods using neural networks (NN) f...
Deep learning for accelerated and robust MRI reconstruction.
Magma (New York, N.Y.)
Jul 23, 2024
Deep learning (DL) has recently emerged as a pivotal technology for enhancing magnetic resonance imaging (MRI), a critical tool in diagnostic radiology. This review paper provides a comprehensive overview of recent advances in DL for MRI reconstructi...
A Boundary-Enhanced Decouple Fusion Segmentation Network for Diagnosis of Adenomatous Polyps.
Journal of imaging informatics in medicine
Jul 22, 2024
Adenomatous polyps, a common premalignant lesion, are often classified into villous adenoma (VA) and tubular adenoma (TA). VA has a higher risk of malignancy, whereas TA typically grows slowly and has a lower likelihood of cancerous transformation. A...
Artificial Intelligence in Pancreatic Image Analysis: A Review.
Sensors (Basel, Switzerland)
Jul 22, 2024
Pancreatic cancer is a highly lethal disease with a poor prognosis. Its early diagnosis and accurate treatment mainly rely on medical imaging, so accurate medical image analysis is especially vital for pancreatic cancer patients. However, medical ima...
Interpretable medical image Visual Question Answering via multi-modal relationship graph learning.
Medical image analysis
Jul 20, 2024
Medical Visual Question Answering (VQA) is an important task in medical multi-modal Large Language Models (LLMs), aiming to answer clinically relevant questions regarding input medical images. This technique has the potential to improve the efficienc...
An XAI-enhanced efficientNetB0 framework for precision brain tumor detection in MRI imaging.
Journal of neuroscience methods
Jul 20, 2024
BACKGROUND: Accurately diagnosing brain tumors from MRI scans is crucial for effective treatment planning. While traditional methods heavily rely on radiologist expertise, the integration of AI, particularly Convolutional Neural Networks (CNNs), has ...
Interpretation of Artificial Intelligence Models in Healthcare: A Pictorial Guide for Clinicians.
Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
Jul 19, 2024
Artificial intelligence (AI) models can play a more effective role in managing patients with the explosion of digital health records available in the healthcare industry. Machine-learning (ML) and deep-learning (DL) techniques are two methods used to...
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