A Leading Collaboration in Quincy and Créteil – Interview with Dr. Jérémie Ben Soussan

 

“The fracture detection feature is highly effective, providing essential support to radiologists.”

“Honestly, when Milvue flagged it [a radial head fracture], we were quite skeptical. None of us could see it, and we thought it wasn’t there. Yet, the CT scan confirmed the fracture, invisible to the naked eye.”

 

Dr Ben Soussan
Interview with Dr. Jérémie Ben Soussan, radiologist at the Claude Galien Imaging Center in Quincy and the Créteil Medical Imaging Center. A graduate for 9 years and a partner for 5 years in the group that brings together both imaging centers, he specializes in musculoskeletal imaging.

 

 

 

In April 2024, the Quincy Medical Imaging Center integrated Milvue into its practices. “We had heard of Milvue, and after seeing several communications and a demonstration of the solution, we were convinced. The solution seemed perfectly suited to our needs.”

“We were convinced, the solution seemed perfectly suited to us.”

Since deploying Milvue, Dr. Ben Soussan and his colleagues have observed significant improvements in two main areas : trauma cases and measurements.

Around 30,000 annual visits are recorded at the emergency department of the Claude Galien Imaging Center in Quincy. Milvue’s AI solution helps interpret the numerous X-rays, particularly in trauma cases: “It allows patients to receive their reports by the next morning. And, more importantly, the emergency doctor receives confirmation of our observations, whether there’s something or not. For the ER, it has been extremely useful,” Dr. Ben Soussan confirms.

“All of this represents a valuable time-saving.”

Regarding measurements, Dr. Ben Soussan explains that Milvue saves them time, particularly for radiology technicians : “On the one hand, the technician can focus on other tasks instead of wasting time on measurements with cumbersome consoles. Additionally, for complex measurements, they often come to us to verify whether we agree with the measurements they’ve taken and how they did them. This all represents a valuable time-saving, allowing us to focus on interpreting other exams that require the radiologist’s expertise.”

“We couldn’t believe it. None of us could see it […] Yet, the CT scan confirmed this fracture, invisible to the naked eye.”

One of the most striking moments demonstrating Milvue’s effectiveness, according to Dr. Ben Soussan, was the detection of a rather unusual fracture. He recalls : “It was a radial head fracture. Honestly, when Milvue flagged it, we were quite skeptical and didn’t believe it. None of us could see it, and we thought it didn’t exist. Yet, the CT scan confirmed this fracture, invisible to the naked eye.” This experience highlighted Milvue’s ability to assist in cases where human diagnosis might be limited.

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Meanwhile, the Créteil Medical Imaging Center deployed Milvue’s solutions at the end of July. Their expectations were different from those of the Quincy hospital, as the Créteil radiology center is a city clinic and does not have emergency imaging needs. The primary goal of using Artificial Intelligence was to speed up measurements, thereby reducing patient wait times and easing the workload of radiology technicians.

“Saving time for the technicians but also reducing patient waiting times.” 

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Dr. Ben Soussan is very satisfied with Milvue and highly recommends it to other medical centers.

“It is an invaluable tool, especially in cases where we have diagnostic uncertainties. The Milvue solution allows us to confirm our diagnoses while saving valuable time, particularly with measurements.”
He emphasizes that “the fracture detection feature is highly effective, providing essential support to radiologists.

 

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