Ron Vianu

Title: Innovations by Ron Vianu

Introduction

Ron Vianu is an accomplished inventor based in New York, NY (US). He has made significant contributions to the field of medical technology, particularly in natural language processing and error detection in healthcare. With a total of 3 patents, Vianu's work is at the forefront of improving healthcare data analysis.

Latest Patents

One of Vianu's latest patents is titled "Computer-implemented natural language understanding of medical reports." This innovative method begins with a radiological report text containing clinical findings. Errors in the text are corrected by analyzing character-level optical transformation costs weighted by a frequency analysis over a corpus corresponding to the report text. For each word within the report text, a word embedding is obtained, character-level embeddings are determined, and the word and character-level embeddings are concatenated to a neural network which generates a plurality of NER tagged spans for the report text. A set of linked relationships is calculated for the NER tagged spans by generating masked text sequences based on the report text and determined pairs of potentially linked NER spans. A dense adjacency matrix is calculated based on attention weights obtained from providing the one or more masked text sequences to a Transformer deep learning network, and graph convolutions are then performed over the calculated dense adjacency matrix.

Another notable patent is "Computer-implemented detection and statistical analysis of errors by healthcare providers." This process involves accessing a plurality of digitally stored, unstructured medical diagnostic data. It digitally displays a first subset of the medical diagnostic data, including at least a first set of diagnostic reports, concurrently with digitally displaying one or more quality control checklists specific to a medical discipline represented in the first set of diagnostic reports. The process receives digital input specifying one or more errors in the first set of diagnostic reports and digitally stores this input in association with the first subset of medical diagnostic data. A hierarchical Bayesian machine learning model is then trained using the digital input and the first subset of medical diagnostic data, which is evaluated for a second subset of the medical diagnostic data to output one or more provider error rate data. Finally, a grading algorithm is applied to yield one or more output provider quality score values.

Career Highlights

Ron Vianu is currently employed at Covera Health, Inc., where he continues to innovate in the healthcare technology sector. His work focuses on enhancing the accuracy and efficiency of medical data processing, which