4 articles tagged with #clinical-validation. 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 a scalable method using LLMs as judges to evaluate AI safety for users with psychosis, finding strong alignment with human clinical consensus. The study addresses critical risks of LLMs potentially reinforcing delusions in vulnerable mental health populations through automated safety assessment.
A study evaluating the consistency of exercise prescriptions generated by Gemini 2.5 Flash found high semantic consistency but significant variability in quantitative components like exercise intensity. The research highlights that while LLMs produce semantically similar outputs, structural constraints and expert validation are necessary before clinical deployment.
Researchers developed a detection-gated AI pipeline combining YOLOv8 and U-Net for accurate glottal segmentation in medical videoendoscopy. The system achieved state-of-the-art performance with zero-shot transfer capabilities across different clinical datasets, enabling real-time extraction of vocal function biomarkers at 35 frames per second.
