Oudenaarde, Belgium

Jeroen Van Der Donckt

USPTO Granted Patents = 1 

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Jeroen Van Der Donckt: Innovator in Machine Learning for IOL Power Prediction

Introduction

Jeroen Van Der Donckt is a notable inventor based in Oudenaarde, Belgium. He has made significant contributions to the field of ophthalmology through his innovative work in machine learning applications for intraocular lens (IOL) power prediction. His expertise and dedication to improving surgical outcomes have positioned him as a key figure in this specialized area.

Latest Patents

Jeroen holds 1 patent titled "Prediction of IOL power." This patent describes implementations of systems and methods for an improved machine learning-based system that incorporates pre-operative and intraoperative measurements captured during surgery, along with additional patient-specific data. The goal is to provide an individualized and highly accurate post-operative manifest refraction prediction. The determination engine generates a predictive feature set of one or more predictors associated with diagnostic measurements of one or more eyes. It performs a recursive selection operation using various combinations within the predictive feature set and models to produce the most predictive subset, which has the highest prediction accuracy for post-operative manifest refraction.

Career Highlights

Jeroen is currently employed at Johnson & Johnson Surgical Vision, Inc., where he continues to develop innovative solutions that enhance surgical precision and patient outcomes. His work is characterized by a strong focus on integrating advanced technology with clinical practices.

Collaborations

One of Jeroen's notable collaborators is Guang-ming Dai. Their partnership exemplifies the collaborative spirit in the field of medical technology, where shared expertise leads to groundbreaking advancements.

Conclusion

Jeroen Van Der Donckt's contributions to the field of ophthalmology through his innovative patent on IOL power prediction highlight the importance of machine learning in enhancing surgical outcomes. His work continues to inspire advancements in medical technology.

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