Revolutionary AI Technology Launches in Healthcare
GE HealthCare has revolutionized interventional radiology with the launch of CleaRecon DL, an advanced artificial intelligence technology that dramatically improves cone-beam computed tomography (CBCT) image quality. This groundbreaking deep-learning…
This study introduces Glucose Level Understanding and Control Optimized for Safety and Efficacy (GLUCOSE), a distributional offline reinforcement learning algorithm for optimizing insulin dosing after cardiac surgery. Trained on 5228 patients, tested on 920,…
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The assessment of voice quality plays a critical role in the clinical evaluation of hoarseness. However, no study has established a highly accurate method for the auditory–perceptual judgment of vocal roughness, which is one…
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Artificial Intelligence can mitigate the global shortage of medical diagnostic personnel but requires large-scale annotated datasets to train clinical algorithms. Natural Language Processing (NLP), including Large Language Models (LLMs), shows great potential for annotating…
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Source Credit: GE Healthcare
What You Should Know:
– GE HealthCare today announced the launch of CleaRecon DL, an innovative technology driven by a deep-learning algorithm, designed to significantly improve the quality of cone-beam computed tomography…
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Running biomechanics studies the mechanical forces experienced during running to improve performance and prevent injuries. This study presents the development of a digital twin for predicting bone stress in runners. The digital twin leverages…
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Background: Sudden cardiac arrest is a major cause of mortality, necessitating immediate and high-quality cardiopulmonary resuscitation (CPR) for improved survival rates. High-quality CPR is defined by chest compressions at a rate of 100-120 per…
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AI Calibration Enhances Heart Disease Detection
Groundbreaking research reveals that calibrating scores from an artificial intelligence algorithm significantly improves the identification of patients at high risk for hypertrophic cardiomyopathy (HCM). This potentially life-threatening heart condition…
Healthcare data is biased. Not everybody has equal access to healthcare, not everyone is treated the same by the healthcare system. And so, the healthcare data that we have, that we're training models on,…
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What You Should Know:
– Researchers at Mount Sinai have enhanced an existing artificial intelligence (AI) algorithm to provide specific numeric probabilities identifying patients at risk for hypertrophic cardiomyopathy (HCM), a common inherited heart condition,…
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