AIMC Topic: Diagnostic Imaging

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Privacy risks of whole-slide image sharing in digital pathology.

Nature communications May 4, 2023
Access to large volumes of so-called whole-slide images-high-resolution scans of complete pathological slides-has become a cornerstone of the development of novel artificial intelligence methods in pathology for diagnostic use, education/training of ...
Diagnostic Imaging Privacy Artificial Intelligence Image Processing, Computer-Assisted
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A deep learning-based cancer survival time classifier for small datasets.

Computers in biology and medicine Apr 27, 2023
Cancer survival time prediction using Deep Learning (DL) has been an emerging area of research. However, non-availability of large-sized annotated medical imaging databases affects the training performance of DL models leading to their arguable usage...
Lung Neoplasms Humans Deep Learning Biometry Neural Networks, Computer Diagnostic Imaging
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Microbiological Quality Estimation of Meat Using Deep CNNs on Embedded Hardware Systems.

Sensors (Basel, Switzerland) Apr 24, 2023
Spectroscopic sensor imaging of food samples meta-processed by deep machine learning models can be used to assess the quality of the sample. This article presents an architecture for estimating microbial populations in meat samples using multispectra...
Diagnostic Imaging Machine Learning Meat Computers Neural Networks, Computer
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XAI-enabled neural network analysis of metabolite spatial distributions.

Analytical and bioanalytical chemistry Apr 21, 2023
We used deep neural networks to process the mass spectrometry imaging (MSI) data of mouse muscle (young vs aged) and human cancer (tumor vs normal adjacent) tissues, with the aim of using explainable artificial intelligence (XAI) methods to rapidly i...
Humans Neural Networks, Computer Mice Animals Machine Learning Diagnostic Imaging Artificial Intelligence Image Processing, Computer-Assisted Aged
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Critical Appraisal of Artificial Intelligence-Enabled Imaging Tools Using the Levels of Evidence System.

AJNR. American journal of neuroradiology Apr 20, 2023
Clinical adoption of an artificial intelligence-enabled imaging tool requires critical appraisal of its life cycle from development to implementation by using a systematic, standardized, and objective approach that can verify both its technical and c...
Humans Artificial Intelligence Diagnostic Imaging
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Editorial Comment: Meet BERT-The Newest Artificial Intelligence-Based Radiologist Extender.

AJR. American journal of roentgenology Apr 19, 2023
Radiology Radiologists Radiography Diagnostic Imaging Humans Artificial Intelligence
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Development and External Validation of an Artificial Intelligence Model for Identifying Radiology Reports Containing Recommendations for Additional Imaging.

AJR. American journal of roentgenology Apr 19, 2023
Reported rates of recommendations for additional imaging (RAIs) in radiology reports are low. Bidirectional encoder representations from transformers (BERT), a deep learning model pretrained to understand language context and ambiguity, has potentia...
Female Male Retrospective Studies Radiography Diagnostic Imaging Middle Aged Natural Language Processing Humans Artificial Intelligence Radiology
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Morphological feature recognition of different differentiation stages of induced ADSCs based on deep learning.

Computers in biology and medicine Apr 13, 2023
In order to accurately identify the morphological features of different differentiation stages of induced Adipose Derived Stem Cells (ADSCs) and judge the differentiation types of induced ADSCs, a morphological feature recognition method of different...
Diagnostic Imaging Deep Learning Image Processing, Computer-Assisted Cell Differentiation Neural Networks, Computer
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Foundation models for generalist medical artificial intelligence.

Nature Apr 12, 2023
The exceptionally rapid development of highly flexible, reusable artificial intelligence (AI) models is likely to usher in newfound capabilities in medicine. We propose a new paradigm for medical AI, which we refer to as generalist medical AI (GMAI)....
Diagnostic Imaging Medicine Datasets as Topic Electronic Health Records Genomics Humans Unsupervised Machine Learning Artificial Intelligence
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PocketNet: A Smaller Neural Network for Medical Image Analysis.

IEEE transactions on medical imaging Apr 4, 2023
Medical imaging deep learning models are often large and complex, requiring specialized hardware to train and evaluate these models. To address such issues, we propose the PocketNet paradigm to reduce the size of deep learning models by throttling th...
Neural Networks, Computer Diagnostic Imaging
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