Analytics

MedGemma, built on Gemma 3, aims to help developers build AI-based healthcare applications with open models, including multimodal and text-only versions.  

"By making it faster and easier to use the most up-to-date guidelines at the point of care, we anticipate a more consistent application of best practices, which can contribute to improved patient trajectories," says the hospital's CMIO.

Dr. Justin Norden, CEO of a generative AI infrastructure company, warns hospitals and health systems to identify ROI, safety issues, risk, governance and long-term value when approaching AI systems and tools.

The platform will use AI, analytics and intelligent clinical applications to create secure and scalable care models.

Nearly a decade since launching his Cancer Moonshot, the oncology research and precision medicine innovations of that project, along with other NIH-funded health data initiatives, have enabled advancements in personalized treatment and management.

The project led by Yonsei University and Seoul National University aims to develop AI-based screening tools for early autism detection.

The offering measures AI's real-world performance and safety around handling realistic medical conversations, using physician-created rubrics and GPT-4.1 scoring.  

Rather than simply layering technology atop inefficient clinical practices, it's key to take an "urban planning" approach and rethink their structure, says Dr. Anwar Jebran, medical director of population health informatics at Oak Street Health.

Phishing with voicemail scams, deep fakes, medical document forgeries – artificial intelligence is "lowering the bar of who can engage in these activities," says Etay Maor, chief security strategist at Cato Networks.

Several new partnerships are deploying artificial intelligence to drive financial performance: filling underutilized OR schedules, pinpointing revenue leakage and improving medical coding accuracy.