Reesha Dedhia, VP at Vaultree, introduces a great new product, Fully Functional Data-In-Use Encryption (FFDUE), a solution that ensures your sensitive healthcare data remains encrypted, yet always accessible and usable. Learn how FFDUE empowers…
Continue Reading
At the Radiological Society of North America conference this week in Chicago, Konica Minolta Healthcare Americas is among many companies showcasing new artificial intelligence tools for imaging and clinical decision support.WHY IT MATTERS
Konica Minolta announced…
The integration of Quality Management System (QMS) principles into the life cycle of development, deployment, and utilization of machine learning (ML) and artificial intelligence (AI) technologies within healthcare settings holds the potential to close…
Continue Reading
Randomized clinical trials (RCT) represent the cornerstone of evidence-based medicine but are resource-intensive. We propose and evaluate a machine learning (ML) strategy of adaptive predictive enrichment through computational trial phenomaps to optimize RCT enrollment….
Continue Reading
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…
Continue Reading
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…
Continue Reading
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…
Continue Reading
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….
Continue Reading
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…
Continue Reading
Clinical Trial Platform Uncovers Hidden Signals and Optimizes Next Steps for More Adaptive, Successful, and Efficient Clinical Trials
PhaseV, a pioneer in causal machine learning (ML) technology that optimizes clinical trial design and analysis, announced today that it has…
