Clinical validation studies are important to translate artificial intelligence (AI) technology in healthcare but may be underperformed in Otolaryngology – Head & Neck Surgery (OHNS). This scoping review examined deep learning publications in OHNS…
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What You Should Know:
– Artera, a company developing multimodal artificial intelligence (MMAI)-based prognostic and predictive cancer tests, today announced the publication of a significant validation study in the JCO Clinical Cancer Informatics.
– The study…
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How ANNs Are Revolutionizing Medicine
Artificial Neural Networks (ANNs) have been quietly evolving since the 1950s, but their impact on healthcare has accelerated dramatically in recent years. Unlike modern Large Language Models (LLMs) like ChatGPT,…
There is a growing recognition of the need for clinical trials to safely and effectively deploy artificial intelligence (AI) in clinical settings. We introduce dynamic deployment as a framework for AI clinical trials tailored…
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The cornucopia of digital apps for healthcare administration, patient care, treatment, and optimization can be overwhelming, and the growth in AI raises questions of how far to trust each app. Mayo Clinic Platform has…
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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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What You Should Know:
– LainaHealth, formerly known as IncludeHealth, today announced the launch of its transformative virtual care model designed to significantly expand access to physical therapy (PT) while reducing delivery costs.
– The model…
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SMC Pioneers Digital Healthcare Transformation
Samsung Medical Center (SMC) in South Korea has emerged as a frontrunner in healthcare digitalization by automating critical processes through its proprietary hospital information system, DARWIN. This comprehensive digital ecosystem…
Septic shock is one of the most lethal conditions in ICU, and early risk prediction may help reduce mortality. We developed a TOPSIS-based Classification Fusion (TCF) model to predict mortality risk in septic shock…
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The climate crisis underscores the need for weather-based predictive analytics in healthcare, as weather factors contribute to ~11% of the global stroke burden. Therefore, we developed machine learning models using locoregional weather data to…
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