RSNA23 showcased Philips’ AI-driven imaging innovations, including an advanced visualization workspace, portable MRI BlueSeal, and AI Manager. These technologies aim to streamline workflows, consolidate data, and empower clinicians. GE Healthcare also introduced AI-enhanced MRI…
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SyntheticMR’s SyMRI 3D, pending FDA clearance, heralds a transformative era in medical imaging. This pioneering technology introduces unparalleled capabilities, enabling precise brain region analysis and comprehensive lesion assessments. SyMRI 3D’s isotropic resolution promises enhanced…
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ConcertAI’s TeraRecon unveils pioneering AI advancements at RSNA23, bolstering clinical research and patient care. Their multi-modal AI platform, in collaboration with MSKCC, aims to revolutionize oncology research. Jeff Elton emphasizes the significance of multi-modal…
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Upswing Health pioneers an AI-driven telehealth model, transforming musculoskeletal (MSK) care. Co-founded by Dr. Steve Schutzer, this virtual clinic reshapes patient access and treatment. Their unique MSK-specific tool, coupled with human-centric telehealth, reduces MSK…
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Konica Minolta Healthcare unveils groundbreaking digital radiography (DR) and ultrasound solutions at RSNA 2023, showcasing Dynamic Digital Radiography (DDR), advanced flat panel detectors, and innovative handheld ultrasound devices. These pioneering technologies, spanning diverse clinical…
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TeleDaaS, a Dosimetry-as-a-Service pioneer, unveils its breakthrough platform at #RSNA2023. Specializing in precision dosimetry for CROs and pharmaceuticals, TeleDaaS integrates seamlessly with imaging workflows to advance cancer treatment research. Led by Dr. Mark Crockett,…
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4D Medical achieves FDA clearance for CT LVAS, a game-changing CT-based ventilation software complementing its XV LVAS. This advanced technology, showcased at RSNA 2023, enriches CT scans with detailed functional insights, empowering radiologists to…
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Deloitte’s 2023 Health Care Consumer Survey reveals a prevalent consumer belief in the transformative power of generative AI within healthcare, with over 70% acknowledging its potential to revolutionize delivery. Notably, health-related concerns drive users…
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Utilizing machine learning (ML) alongside mass spectrometry, UF Health researchers enhanced meningioma tumor assessment accuracy to 87%. Published in the Journal of the American Society for Mass Spectrometry, this study showcased ML’s prowess in…
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In telehealth, diagnosing flu through patient-reported symptoms complicates accurate assessments. University of Georgia’s study explored clinical decision rules (CDRs) reliability in telemedicine, revealing discrepancies in patient and clinician symptom reports. The research, published in…
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