7 articles tagged with #healthcare-automation. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.
DosimeTron, an agentic AI system powered by GPT-5.2, automates personalized Monte Carlo radiation dosimetry calculations for PET/CT medical imaging. Validated on 597 studies across 378 patients, the system achieved 99.6% correlation with reference dosimetry calculations while processing each case in approximately 32 minutes with zero execution failures.
Researchers developed AD-CARE, an AI agent that uses large language models to diagnose Alzheimer's disease from incomplete medical data across multiple modalities. The system achieved 84.9% diagnostic accuracy across 10,303 cases and improved physician decision-making speed and accuracy in clinical studies.
Researchers developed Sentinel, an autonomous AI agent that achieves 95.8% emergency sensitivity in clinical triage for remote patient monitoring, outperforming individual clinicians while costing only $0.34 per triage. The AI system addresses the core scalability issues that caused previous remote monitoring trials to fail due to data overload.
Google's AMIE conversational AI successfully completed a clinical feasibility study with 100 patients at an academic medical center, demonstrating 90% accuracy in including correct diagnoses and achieving high patient satisfaction. The AI showed comparable diagnostic quality to primary care physicians while requiring no safety interventions during real-world clinical interactions.
Researchers propose INFORM-CT, an AI framework combining large language models and vision-language models to automate detection and reporting of incidental findings in abdominal CT scans. The system uses a planner-executor approach that outperforms traditional manual inspection and existing pure vision-based models in accuracy and efficiency.
Researchers introduced HealthAdminBench, a new evaluation framework with 135 tasks across realistic healthcare administration workflows, revealing that current AI agents achieve only 36.3% end-to-end success despite strong individual subtask performance. The benchmark demonstrates a critical gap between AI capabilities and the reliability requirements for automating healthcare administrative processes worth over $1 trillion annually.
AWS has launched Amazon Connect Health, a new AI agent platform designed specifically for healthcare applications. The platform focuses on automating key healthcare processes including patient scheduling, documentation, and patient verification tasks.
