Dear reader,
Having an AI algorithm detect organ segments in medical images can greatly improve radiology workflows and lead to economic benefits. We also look at solutions for air decontamination in hospitals, a ‘smart nose’ to rule out Covid-19 infections and image analysis that can predict cancer outcomes.
Enjoy reading!
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At ECR 2021
AI experts tackle organ segmentation and health economics
AI is revamping workflows and experts showed how radiologists can integrate it into their department to improve daily practice and healthcare at ECR. The panel also discussed the health economics side of AI to help radiologists define which products...
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Liquid metal bearing technologyKeeping CT scanning running smoothlyWith CT scanners proving critical in the ongoing fight against coronavirus, keeping them maintained, fully-operational, and patient-friendly has never been more important. Liquid metal bearing (LMB) technology has been a key aspect of this by |
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Non-invasive corona breath testingSpiroNose: The electronic nose that knows about Covid-19Rapid tests, PCR tests, self-tests… there are many test options to determine contamination with Covid-19. In most this is done by inserting a cotton swab deep into the nose and/or throat to extract some mucus – unpleasant for adults and often a |
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Healthcare facilities analysedCutting Coronavirus air contamination in hospitalsPreventing air contamination in healthcare facilities is crucial to minimise the airborne spread of Covid-19 and its new strains. Universal masking, rigorous use of and safe disposal of PPE, plus building ventilation are vital. Twenty-four studies |
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Pandemic managementHow the Covid-19 crisis defines good leadershipA senior UK health figure has highlighted how contrasting leadership approaches are impacting the response to the global coronavirus crisis. Dr Clare Gerada also fears that response is affecting health professionals and leaders within the sector, |
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Digital pathologyAn exciting new era for tissue microarraysA new generation of tissue microarrays are delivering more efficient and time-effective solutions to answering complex clinical and scientific questions. Sitting at the core of this new approach is digital pathology, allowing specific and targeted |
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Machine learning advances diagnostics and prognosticsComputerized image analysis can predict cancer outcomesThe advent of digital pathology is offering a unique opportunity to develop computerized image analysis methods to diagnose disease and predict outcomes for cancer patients from histopathology tissue sections. Such advances can help predict risk of |
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