Now, researchers at Monash University’s Department of Mechanical and Aerospace Engineering, in collaboration with the Monash IVF Centre, have developed an AI-powered technology that “assesses the quality of live sperm in seconds with over 93% accuracy”, eliminating the need for procedures that affect sperm viability in IVF treatments.
“The consistency and reliability of our AI model provides unprecedented accuracy in classifying live sperm morphology,” said Dr. Reza Nosrati. “By providing a clear and accurate analysis of sperm quality, it offers promising opportunities to enhance clinical sperm selection practices. We hope to improve fertility treatment outcomes and provide new hope for couples struggling to conceive.”
“The technology has been tested and proven to work effectively with images of different resolutions,” said Sahar Shahali, lead author of the study. “This means it can be easily integrated into different clinical settings, providing reliable results regardless of the equipment used.”
Professor Deidre Zander-Fox, Chief Science Officer at Monash IVF, explained that the technology has the potential to make the sperm selection process faster, while improving outcomes.
“Sometimes, IVF embryologists need to inject a single sperm directly into the egg to increase the chances of fertilization. While they are experts at finding the best sperm for the procedure (sperm that are the right size and shape and move freely), it can sometimes take hours to examine the sample and find the best sperm to inject,” she added.
“We believe that AI could make the process much faster and give patients better outcomes. Following this research, Monash IVF hopes to create an AI algorithm that could be used to power a sperm selection machine, to guide our embryologist on which sperm to select at the time of ICSI, to help improve IVF outcomes,” she continued.
Source: Medical Express
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2024-08-19 03:04:52
