FDA Clears AI-Powered Software For Automated Measurements on Long Leg Radiographs

The FDA granted clearance to ImageBiopsy Lab’s IB Lam LAMA. The image processing software uses AI to provide geometric length and angle measurements on full leg x-rays. The software uses machine learning technology to provide measurements based on fixed, predetermined ranges.

"FDA clearance serves as a significant validation of the accuracy and quality of our LAMA module. It is a huge milestone to bring AI-supported software tools to surgeons, not only to increase efficiency, but also to improve the outcomes and follow-ups for their patients" Richard Ljuhar, CEO & co-founder of IB Lab, said in a press release.

The software can be used by surgeons performing joint replacement procedures, which require highly accurate and detailed measurements of the limbs involved. According to ImageBiopsy Lab, this software will free up healthcare professionals from the time-consuming task of taking these measurements. As is the case with many AI-based products, the goal is not to replace the surgeons, but instead to perform time-consuming tasks for them so that they can spend more time focused directly on the patient.

According to the press release, the principal investigator of the standalone performance study on the software said that it will provide a pathway for more personalized treatment.

This is the latest example of AI-powered products being introduced to the life sciences industry.

Medical Device & Technology previously reported that Core Sound Imagin Inc. announced a platform for cardiologists that will allow them to choose from a selection of AI. These tools can be used on a single exam at a time or for multiple exams.

"We are excited about the significant impact this new Studycast Integration Program will have on our clients' ability to deliver the highest quality of care," Laurie Smith, COO and founding partner at Core Sound Imaging, said in a press release. "Let's take an AI vendor who has a tool to calculate strain values based on the images acquired. Within hours, a clinic can be set up to utilize this vendor's analysis tool. The clinic may benefit because their technologists have not yet been trained to acquire strain values, or perhaps they have not added this functionality to their imaging machine yet. It's easy to see how this tool for early heart disease detection can ultimately improve patient care."