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Author

Danit Dayan

3 papers indexed here

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Review Open access Sep 2026

Artificial intelligence assessment of Parkland's grading scale in laparoscopic cholecystectomy: a step toward real-world outcome prediction.

Routine real-world use of a surgical artificial-intelligence (AI) platform has led us to adopt Parkland's Grading Scale (PGS) for disease-severity in laparoscopic cholecystectomy (LC). We evaluated model performance in estimating PGS and explored correlations with surgical outcomes. The platform routinely video-capture...

Yuval Mirkin, M. Ortenzi, E. Nizri et al. · 0 citations
Open access Aug 2026

AI-powered monitoring of out-of-body idle time in laparoscopic general surgery: economic and intraoperative implications

In laparoscopic surgery, uninterrupted visualization is essential for efficiency and safety. Temporary laparoscope withdrawal for image-quality restoration results in “out-of-body” (OOB) time, a historically unquantified workflow disruption. Advances in artificial intelligence (AI)-based computer vision enable la...

Danit Dayan, E. Nizri, Stephanie Rico et al. · 0 citations
Open access Aug 2026

AI-based disease severity grading predicts complications in laparoscopic appendectomy

Automated AI-based surgical video assessment shows promise as a complementary tool for risk-prediction of laparoscopic appendectomy and offers scalable risk stratification that may be implemented in routine clinical practice.

Tal Kardish, M. Ortenzi, E. Nizri et al. · 0 citations

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