The applications of AI in ultrasound holds the promise of numerous benefits.
First trimester scanning, placental assessment, the acquisition and measurement of fetal biometry, fetal echocardiography and neurosonography, assessment of fetal anatomy, and screening for risks of adverse outcomes all have the potential to be facilitated by artificial intelligence tools.
In terms of diagnosis and treatment, AI offers significant advantages to healthcare providers. AI provides swift support to clinicians with interpreting each image in real-time and helping them in deciding the optimal course of action during examinations. Combining a physician’s expertise with the use of AI helps them to perform technical gestures with precision, ensure quality standards are met for each examination and enables the detection of anomalies without the risk of human error.
One considerable advantage of AI lies in its potential to improve efficiency by reducing scanning time and reduce errors by real-time quality assurance. This, in turn, provides clinicians with more time and higher quality data to inform critical decision-making.
AI can also play a crucial role in shortening the learning curve for sonographers and physicians to attain proficiency in using ultrasound. AI can make it easier to train clinicians on ultrasound usage and scan interpretation. As a result, this instils confidence in their ability to make accurate diagnoses and interventions.
These represent just a few of the benefits of AI in fetal and obstetric ultrasound. While the utilization of AI in radiology has significantly progressed, its application in obstetric and fetal ultrasound is still evolving. It is imperative for trainees in obstetrics and gynecology to stay informed and dive deeper into the latest AI breakthroughs in this rapidly growing sector.
ISUOG’s AI Trainee Webinar on March 6th will provide an opportunity for obstetrics and gynecology trainees, as well as sonographers and midwives who utilize ultrasound, to engage in discussion around the potential advantages and inherent challenges associated with integrating Generative AI into medical practice.
Attendees will have the chance to discover how AI can enhance fetal scanning, explore the available AI functions in obstetric ultrasound and gain insights into the future prospects of AI in fetal ultrasound.
This online course is proudly sponsodred by Samsung and places are free for trainees.
Reference
Horgan R, Nehme L, Abuhamad A. Artificial intelligence in obstetric ultrasound: A scoping review. Prenatal Diagnosis (2023). 43(9); 1176-1219.