What You Should Know:
– Genentech and NVIDIA today announced a multi-year strategic research collaboration that couples Genentech’s artificial intelligence (AI) capabilities, extensive biological and molecular datasets, and research expertise with NVIDIA’s world-leading accelerated computing…
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What You Should Know:
– CodaMetrix has partnered with GE HealthCare to bring its AI-powered automated coding solution, CMX Automate, to GE HealthCare customers.
– This will enable GE HealthCare customers to benefit from CMX Automate’s…
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Most hospitals and health systems still are evaluating whether artificial intelligence is right for their organization. Many, though, are seeking to expand existing AI and machine learning implementations.Healthcare provider organizations that fall in either…
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VR behavioral health platform BehaVR is merging with virtual chronic care-management company Fern Health to form RealizedCare, a digital care-management platform for chronic pain powered by digital therapeutics. BehaVR developed mental and behavioral health prescription…
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Stanford Health Care integrates AI and machine learning (ML) models to identify clinical deterioration in hospitalized patients. Their initiative aims to align care teams and streamline workflows, improving patient outcomes by predicting risks every…
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Cytovale, a medical diagnostics company focused on developing technology that helps diagnose diseases, announced it scored $84 million in Series C funding led by Norwest Venture Partners with participation from other investors. WHAT THEY DO
Cytovale…
Detecting patient clinical deterioration early on holds the promise to decrease mortality and improve outcomes. However, it remains a challenge in both hospital and ambulatory settings.Stanford Health Care addressed this challenge by incorporating validated…
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The integration of AI in the healthcare industry could yield remarkable savings for the United States, projected at a staggering US$360 billion. This insight emerged in a report by researchers from McKinsey and Harvard….
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While machine learning (ML) has shown great promise in medical diagnostics, a major challenge is that ML models do not always perform equally well among ethnic groups. This is alarming for women’s health, as…
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Preoperative knowledge of expected postoperative pain can help guide perioperative pain management and focus interventions on patients with the greatest risk of acute pain. However, current methods for predicting postoperative pain require patient and…
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