Deep learning

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News • Voxel-wise classification

Deep learning tool uses MRI to enhance brain tumor diagnosis

A novel AI-based, non-invasive diagnostic tool enables accurate brain tumor diagnosis, outperforming current classification methods. The tool leverages MRI information to aid clinical decision making.

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News • Imaging equipment

Fujifilm presents new MRI scanner at ECR 2024

Fujifilm Healthcare Europe will present its Echelon Synergy MRI system at the European Congress of Radiology 2024. The 1.5 T scanner employs AI features to enhance image quality and scanning speed.

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News • Imaging signatures

CT-based radiomics deep learning to predict lymph node metastasis in tumors

With a combination of radiomics and deep learning, researchers aim to noninvasively determine lymph node metastasis before surgery. This could lead to more accurate diagnosis and treatment strategies.

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News • Finding therapy-relevant genetics

Leukaemia: AI provides support in diagnostics

Certain genetic features are crucial for treatment decisions for AML leukaemia. A team from Münster shows how an AI-based method can predict these features from images of bone marrow smears.

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News • WSI-based analysis

AI-driven classification of diffuse gliomas skips molecular testing

Research from Shenzhen proposes an integrated diagnosis model for automatic classification of adult-type diffuse gliomas directly from annotation-free standard whole-slide pathological images.

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News • Susceptibility detection in Escherichia coli

How AI can detect antibiotic resistance in 30 minutes

A new deep-learning approach to AMR testing has been shown to detect antimicrobial susceptibility within as little as 30 minutes - significantly faster than current gold-standard approaches.

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Article • Need for diversity in training datasets

Artificial intelligence in healthcare: not always fair

Machine learning and artificial intelligence (AI) are playing an increasingly important role in medicine and healthcare, and not just since ChatGPT. This is especially true in data-intensive specialties such as radiology, pathology or intensive care. The quality of diagnostics and decision-making via AI, however, does not only depend on a sophisticated algorithm but – crucially – on the…

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