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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GE HealthCare at RSNA 2023: Pioneering AI in Healthcare Transformation. Dr. Taha Kass-Hout, MD, MS, Chief Technology Officer, unveils AI innovations for seamless patient care. The event showcases AI-enabled solutions, emphasizing data’s untapped potential…
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ScreenPoint Medical’s Transpara AI has analyzed 5 million mammograms and 1 million Tomosynthesis studies, spotlighting at RSNA 2023. Studies reveal its role as a ‘second pair’ of eyes aiding cancer detection, and reducing recall…
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AI’s prowess predicts lung cancer risk in non-smokers through routine chest X-rays. The study unveils an advanced “CXR-Lung-Risk” model, identifying 28% of participants at significantly higher risk. Dr. Lu emphasizes its pivotal role amid…
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At RSNA23, Heuron showcases pioneering AI solutions for strokes, unveiling the Heuron StroCare Suite, including the ELVO component. The study demonstrated ELVO’s significant impact on diagnosing emergent large vessel occlusions using non-contrast CT scans….
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iCAD and CancerIQ have united to create an advanced breast healthcare solution. Their partnership merges iCAD’s AI-driven ProFound Breast Health Suite with CancerIQ’s precision platform, enhancing breast cancer risk prediction and personalized care plans….
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An innovative AI system, showcased at RSNA, accurately detects autism in 24 to 48-month-old children with a 98.5% success rate by analyzing specialized brain MRIs. Developed by a multi-disciplinary team led by Mohamed Khudri…
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UTHealth Houston’s McWilliams School of Biomedical Informatics secured over $31 million across 16 grants, predominantly from NIH divisions like NIA and NLM. These funds fuel innovative AI-driven healthcare projects, targeting Alzheimer’s treatments, clinical trial…
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