Siemens Healthineers has introduced a comprehensive artificial intelligence-enabled radiology services suite designed to address mounting pressures from diagnostic imaging demand and specialist workforce shortages. The vendor-neutral platform spans the complete imaging workflow from scheduling through to reporting, integrating existing services with new AI capabilities.
A groundbreaking contactless detection system for atrial fibrillation using radio technology and artificial intelligence has demonstrated clinical-grade diagnostic accuracy. Published in Nature Communications, the innovative system records heart mechanical motion via radar sensing and analyses it using neural networks, enabling detection without physical contact and potentially facilitating early diagnosis before symptoms appear.
FUJIFILM Healthcare Europe has announced significant improvements to its DeepInsight ultrasound technology, introducing enhanced imaging capabilities through artificial intelligence and advanced beamforming technology aimed at supporting early diagnosis and treatment planning.
Researchers at the Medical Center – University of Freiburg demonstrate that artificial intelligence can effectively produce medical documentation, potentially reducing physicians’ administrative burden.
Researchers at Weill Cornell Medicine have utilised advanced machine learning techniques to identify three distinct subtypes of Parkinson’s disease, potentially paving the way for more personalised treatment approaches.
A comprehensive analysis of FDA-approved artificial intelligence medical devices reveals significant gaps in clinical validation, raising concerns about their effectiveness and safety in real-world healthcare settings.
A new artificial intelligence-enabled ultrasound device allows novice users to estimate gestational age as accurately as trained sonographers, potentially revolutionising prenatal care in resource-limited settings.
A new study reveals that while ChatGPT shows promise in medical education, it falls short in diagnostic accuracy for complex clinical cases, raising concerns about its reliability as a standalone diagnostic tool.
UK television doctors are being impersonated in AI-generated videos to promote fraudulent health products on social media, according to an investigation by The BMJ.
Researchers at the University of British Columbia have made a significant breakthrough in endometrial cancer diagnosis, utilising artificial intelligence (AI) to identify a previously unrecognised high-risk subtype. This discovery promises to enhance patient care for those with the most common gynaecological malignancy.
April 2024
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Sammy Chouffani El Fassi
UBC Faculty of Medicine