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Ultrasonography has become the most common auxiliary examination in obstetrics because of its security. In the vast majority of patient populations, ultrasound data need not be discarded. Our predictive model maximizes the clinical use of ultrasound and has significant implications for antenatal monitoring, antenatal assessment, intrapartum decision-making, and postpartum care.
JMIR Pediatr Parent 2025;8:e59377
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Ultrasonography is skill-intensive and operator-dependent, typically requiring hands-on practice with supervision [1]. However, technological advancements, the mismatch between global medical technology supply and demand, and social distancing measures due to infectious diseases have accelerated the transition of ultrasound education from traditional in-person training to digital training [7].
JMIR Serious Games 2025;13:e63448
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In contrast, objective measurements, such as isokinetic dynamometry and ultrasonography, have been infrequently used and have shown several inconsistencies. With these considerations in mind, we conducted a thorough analysis of the existing medical literature [13] and decided to plan a double-blind RCT to test an oral formulation of HA in a calculated sample size of 80 patients with OA.
JMIR Res Protoc 2024;13:e13642
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We suggest that experienced novices probably developed transferable skills from the general experience of ultrasonography, for example, during central line insertion.
Trainees characteristically tend to be overloaded with information psychomotor performance, spatial judgments, monitoring data, instruction, and intraoperative events [30,31]. Limited cognitive resources are available to enable decisive and correct decision-making.
JMIR Med Educ 2022;8(3):e32840
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Reference 21: Medical students' knowledge of ultrasonography: effects of a simulation-based ultrasoundultrasonography
JMIR Med Educ 2021;7(4):e31132
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As a convenient modality, breast ultrasonography plays an important role in breast cancer screening. Despite the improvements in ultrasound diagnosis with the application of new technology, dependence on operator experience remains the main limitation of ultrasound-based diagnosis [4,5].
JMIR Med Inform 2020;8(5):e18251
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CAD systems have been recently applied to improve diagnostic performance in breast ultrasonography. S-Detect is a CAD system based on a neural network learning algorithm [7], which applies a novel feature extraction technique and vector machine classifier that categorizes breast masses into benign or malignant depending on the suggested feature based on the BI-RADS lexicon [15].
JMIR Med Inform 2020;8(3):e16334
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Introduction of Ultrasound Simulation in Medical Education: Exploratory Study
Simulation-based training may enable trainees to become familiar with image optimization, probe orientation, as well as practicing a systematic approach to ultrasonography before beginning clinical training [5-8].
Ultrasound simulators are integrated simulators, generally composed of a human mannequin, a mock probe, and a computer. Usually, the mock probe is connected directly to a monitor that displays the ultrasound image depending upon the probe’s position and movements.
JMIR Med Educ 2019;5(2):e13568
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Reference 2: Learning, training, and teaching ultrasonography - problems and perspectives Reference 16: [A multimedia tutorial to train ultrasonography of the thyroid for medical students]ultrasonography
JMIR Serious Games 2019;7(2):e12713
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