Deep learning can be seen in use across numerous industries. In particular, it has significantly impacted the healthcare industry. For example, deep learning has shown remarkable progress in the field of medical imaging. One upshot of this has been that ultrasound imaging has become much more widely used.
What is deep learning?
Deep learning is a subset of machine learning, which is a branch of artificial intelligence (AI). The goal is to teach the computer to simulate the behavior of the human brain.
Based on a review article from the journal Engineering, ultrasound imaging has become one of the most commonly used imaging techniques in clinical practice across many specialties, such as cardiology and gynecology. With the advancements of AI, deep learning has also been increasingly applied to ultrasound imaging for workflow efficiency and diagnostic accuracy.
The challenges of ultrasound imaging
Ultrasound imaging is used in a wide range of medical scenarios due to its safety, cost-effectiveness, and non-invasiveness. And, with devices like ASUS’ Handheld Ultrasound Solutions, it has become increasingly portable. However, ultrasound imaging is still not perfect and there are a number of challenges facing radiologists today.
For example, according to a survey conducted in the United States, 90% of radiologists reported an increase in their workload over the past three years. This surge can be attributed to the escalating number of scans, which demand swift yet meticulous analysis. This trend places immense pressure on radiologists to maintain accuracy while also speeding up the pace of their work.
But the challenges faced by radiologists extend beyond heavy workloads. Unlike X-rays and CT scans that provide clear images, ultrasound images can be more difficult to interpret due to signal dropout and speckle noise, which can hinder accurate diagnosis. Furthermore, ultrasound images that are excessively filtered to remove noise texture may not provide valuable clinical insights.
Performing and evaluating ultrasound images can also be a time-consuming process, and the skill of the radiologist is crucial in interpreting the results. This can make it challenging to achieve consistent and reliable outcomes across different operators.
In response to these unique hurdles, AI and deep learning are emerging as game-changers in the realm of medical imaging. For ultrasound specifically, the integration of deep learning can be seen in various methodological tasks, including image classification, object detection, and measurement. By streamlining workflows, AI-assisted solutions have the potential to standardize medical practice, reduce examination time, and enhance overall image quality.
Related Reading: Transforming Medical Imaging with ASUS Healthcare AI Solutions
Leveling up ultrasound diagnostics with ASUS AI-assisted solutions
Harnessing the transformative potential of AI algorithms and deep learning techniques, ASUS has released three intelligent features for its handheld ultrasound solutions. Through AI integration, ASUS helps to extend the capabilities of healthcare professionals by boosting diagnostic accuracy and efficiency, ultimately delivering faster, standardized patient care.
ASUS Handheld Ultrasound Solutions come equipped with three AI functions: AI Voice Control, AI Smart Preset, and AI Auto Measurement. With AI Voice Control, radiologists can effortlessly configure over 20 ultrasound parameters using simple verbal commands, effectively maximizing efficiency and minimizing disruption during examinations.
Radiologists can also eliminate guesswork and optimize every image with AI Smart Preset, which automatically detects the area being examined and fine-tunes the settings for precise scanning.
Lastly, AI Auto Measurement automatically computes numerical results in real-time, eliminating the need for lengthy manual calculations during the scanning process. This allows radiologists to free up more time for image interpretation and patient interaction.
Besides the AI features, ASUS Handheld Ultrasound Solutions also offer a range of scanning modes and an advanced tuning function to produce high-quality imagery. With these new AI capabilities, ASUS’ wireless ultrasound technology ensures more accurate diagnostics and evaluation, while simplifying the laborious tasks associated with ultrasound imaging.
To find out more about ASUS Handheld Ultrasound Solutions, please visit: ASUS Handheld Ultrasound Solutions | A Point-Of Care Ultrasound system just in your hand (Youtube Video)
About ASUS
ASUS is a global technology leader that provides the world’s most innovative and intuitive devices, components, and solutions to deliver incredible experiences that enhance the lives of people everywhere. With its team of 5,000 in-house R&D experts, the company is world-renowned for continuously reimagining today’s technologies. Consistently ranked as one of Fortune’s World’s Most Admired Companies, ASUS is also committed to sustaining an incredible future. The goal is to create a net zero enterprise that helps drive the shift towards a circular economy, with a responsible supply chain creating shared value for every one of us.
