Robotics & Machine Learning Daily News2024,Issue(MAY.6) :63-63.

Study Data from Medical University of Warsaw Provide New Insights into Robotics (Utilization of the Reinstein Icl Sizing Formula With Hand-held Ultrasound Biomi croscopy Measurements)

Robotics & Machine Learning Daily News2024,Issue(MAY.6) :63-63.

Study Data from Medical University of Warsaw Provide New Insights into Robotics (Utilization of the Reinstein Icl Sizing Formula With Hand-held Ultrasound Biomi croscopy Measurements)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Researchers detail new data in Robotic s. According to news reporting out of Warsaw,Poland, by NewsRx editors, researc h stated, “To evaluate the accuracy of the Reinstein formula withhand-held ultr asound biomicroscopy (UBM) measurements for sizing of the Implantable Collamer L ens(ICL). A total of 107 myopic eyes of 57 patients implanted with the ICL were included in the study.”Our news journalists obtained a quote from the research from the Medical Univers ity of Warsaw,“The size of the ICL was selected based on the manufacturer’s rec ommendations. Agreement betweenthe vault predicted by the Reinstein formula and the vault measured postoperatively was analyzed withBland-Altman plots. A tota l of 95% and 81% of patients had a postoperative vau lt ranging from 150to 1,000 and 250 to 750 mu m, respectively. The mean vault p redicted by the Reinstein formula and thepostoperative vault in the current stu dy were 580 +/- 181 and 547 +/- 200 mu m, respectively. Thesize recommendations of the Reinstein formula and the formula provided by the manufacturer, the Koji maformula, and the Dougherty formula overlapped in 50%, 57% , and 49% of eyes, respectively. The resultsshow that the Reinste in formula combined with a hand-held UBM provides reliable sizing predictions ofthe ICL.”

Key words

Warsaw/Poland/Europe/Emerging Technologies/Machine Learning/Robotics/Robots/Medical University of Warsaw

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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