Discover how Generative AI Lab’s no‑code de‑identification removes PHI risk, cuts review time, and scales human‑in‑the‑loop workflows for healthcare AI.
Protected health information (PHI) has become both a strategic asset and a growing liability. In 2024, healthcare data breaches cost organizations an average of $9.77 million, positioning healthcare as the...
Why are patient journeys critical for oncology care? Oncology care is inherently longitudinal, complex, and personalized. Each patient's history includes diagnostic imaging, pathology, lab results, clinical notes, treatment regimens, and...
How can AI governance be automated in healthcare applications of generative AI? Automating AI governance in healthcare involves embedding bias detection, robustness checks, and compliance validation directly into the development...
What is the current state of the mental health crisis? Globally, mental health disorders affect over 970 million people, according to the Global Burden of Disease Study. In the U.S.,...
Radiology is central to modern healthcare, yet its rapid growth in imaging volume has strained clinical workflows and introduced variability in diagnostic interpretation. Recent advancements in artificial intelligence, particularly in...
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