Enhancing Cross‐Platform Generalizability and Clinical Decision‐Making in Deep Learning‐Based Detection of Ultrasound Transducer Uniformity Artifacts

Key Points

• To enhance the generalizability of deep learning systems for detecting ultrasound transducer artifacts and improve clinical decision-making.
• Developed a framework for cross-platform applicability of deep learning tools.
• Evaluated the performance of these tools in detecting ultrasound artifacts.
• Achieved enhanced accuracy in detecting ultrasound transducer artifacts across platforms.
• Indicated potential improvements in clinical decision-making through better identification of artifacts.