Researchers look at environmental impacts of AI tools in radiology

Credit: CC0 Public Domain As artificial intelligence (AI) is increasingly used in radiology, researchers caution that it’s essential to consider the environmental impact of AI tools, according to a focus article published in Radiology. Health care and medical imaging significantly contribute to the greenhouse gas (GHG) emissions fueling global climate change. AI tools can improve…

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Five-minute MRI on the horizon

An MRI machine. Credit: Royal Air Force photo by Sgt. Mitch Moore/Released A five-minute full-body MRI scan could soon become a reality with the help of a promising new AI method developed by Monash University engineers. In a study published in Computers in Biology and Medicine, researchers have shown how their novel AI technology, McSTRA,…

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Virtual staining of unlabeled autopsy tissue using AI

Virtual staining of label-free autopsy tissue sections via deep learning. Credit: Ozcan Lab UCLA. Autopsy has a central role in shedding light on diseases, helping to uncover the cause of death. Tissue samples from various organs are sampled, stained, and examined under a light microscope to evaluate their histological characteristics. However, chemical staining of autopsy…

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Intravascular imaging shown to significantly improve survival, safety and outcomes in stenting procedures

Credit: Unsplash/CC0 Public Domain Using intravascular imaging to guide stent implantation during percutaneous coronary intervention (PCI) in heart disease patients significantly improves survival and reduces adverse cardiovascular events compared to angiography-guided PCI alone, the most commonly used method. These are the results from the largest and most comprehensive clinical study of its kind comparing two…

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New diagnostic tool for femoral osteoporosis improves the efficacy and viability of current methods

3D-DXA-FE modeling pipeline; starting from an AP DXA scan of femur, estimation of 3D-DXA models, generation of hexahedral FE mesh, and simulation of sideways fall loading scenario. Credit: Muhammad Qasim, Mirella López Picazo, Carlos Ruiz Wills, Jérôme Noailly, Silvana Di Gregorio, Luis Miguel Del Río Barquero, Jorge Malouf Sierra, Ludovic Humbert. Osteoporosis can be detected…

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Team develops accurate and inexpensive approach for optical biopsy

Training the proposed model with a simulated dataset of diffuse reflectance spectra data representative of various types of use-errors helped achieve an excellent trade-off between accuracy and computational complexity. Credit: Journal of Biomedical Optics (2024). DOI: 10.1117/1.JBO.29.1.015001 Detecting cancer during its early stages, that is, before it spreads to other parts of the body, almost…

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‘Virtual biopsy’ uses AI to help doctors assess lung cancer

Study workflow. a Dataset collection for generating deep features, evaluating feature stability, histology subtype classification and prognosis. b The DPCCA model is used to find a shared latent space between the CT scans and metabolomics. An enlarged version of this model is shown, with the purple box highlighting the section responsible for generating TMR-CT features….

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A new method for cardiac image segmentation

Visual comparison of cardiac segmentation results of different methods. Credit: Journal of Shanghai Jiao Tong University(2023). DOI: 10.16183/j.cnki.jsjtu.2022.088 Researchers from the University of Science and Technology Beijing have proposed a new method for cardiac image segmentation. The work, published in Journal of Shanghai Jiao Tong University, showcased a model called UConvTrans, which is a dual-flow…

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Scientists develop a novel radiotracer for earlier detection of disease

Fructose metabolism has been implicated in various diseases, including metabolic disorders, neurodegenerative disorders, cardiac disorders, and cancer. However, the limited availability of a quantitative imaging radiotracer has hindered its exploration in pathology and diagnostic imaging. Methods: We adopted a molecular design strategy based on the catalytic mechanism of aldolase, a key enzyme in fructolysis. We…

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