The application of artificial intelligence in the sonography profession: Professional and educational considerations

Edwards, Christopher L.; Chamunyonga, Crispen; Searle, Benjamin Joseph; Reddan, Tristan

doi:10.1177/1742271x211072473

Cited by 13 publications

(9 citation statements)

References 49 publications

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“…Ultrasound technology is also advancing rapidly and future improvements in image quality may allow radiation therapists to achieve better prostate visualisation in larger patients without applying significant probe pressure [23]. Furthermore, additional robotic and artificial intelligence may provide further benefits [24]. More broadly, this study highlights the need for such investigations when setups in radiation therapy are altered through technology or other means.…”

Section: Future Directionsmentioning

confidence: 87%

Impact of transperineal ultrasound on perineal skin dose in prostate radiation therapy

Silva

Brown

Edwards

2022

Technical Innovations & Patient Support in Radiation Oncolo

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Section: Future Directionsmentioning

confidence: 87%

Impact of transperineal ultrasound on perineal skin dose in prostate radiation therapy

Silva

Brown

Edwards

2022

Technical Innovations & Patient Support in Radiation Oncolo

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“…Therefore, extensive training and education of future experts is of enormous significance [48][49][50][51]. Applications based on artificial intelligence (AI), on whose algorithms prenatal diagnostics will rely on increasingly, are transforming the way clinicians use ultrasound [50,[52][53][54][55][56][57][58][59][60][61][62][63][64][65].…”

Section: Introductionmentioning

confidence: 99%

How automated techniques ease functional assessment of the fetal heart: applicability of two-dimensional speckle-tracking echocardiography for comprehensive analysis of global and segmental cardiac deformation using fetalHQ®

Scharf,

Dracopoulos,

Gembicki

et al. 2024

Preprint

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Background Prenatal echocardiographic assessment of fetal cardiac function has become increasingly important. Fetal two-dimensional speckle-tracking echocardiography (2D-STE) allows the determination of global and segmental functional cardiac parameters. Prenatal diagnostics is relying increasingly on artificial intelligence, whose algorithms transform the way clinicians use ultrasound in their daily workflow. The purpose of this study was to demonstrate the feasibility of whether less experienced operators can handle and might benefit from an automated tool of 2D-STE in the clinical routine. Methods A total of 136 unselected, normal, singleton, second- and third-trimester fetuses with normofrequent heart rates were examined by targeted ultrasound. 2D-STE was performed separately by beginner and expert semiautomatically using a GE Voluson E10 (FetalHQ®, GE Healthcare, Chicago, IL, USA). Several fetal cardiac parameters were calculated (end-diastolic diameter (ED), sphericity index (SI), global longitudinal strain (EndoGLS), fractional shortening (FS)) and assigned to gestational age (GA). Bland-Altman plots were used to test agreement between both operators. Results The mean maternal age was 33 years, and the mean maternal body mass index prior to pregnancy was 24.78 kg/m . The GA ranged from 16.4 to 32.0 weeks (average 22.9 weeks). Averaged endoGLS value of the beginner was -18.57 % ± 6.59 percentage points (pp) for the right and -19.58 % ± 5.63 pp for the left ventricle, that of the expert -14.33 % ± 4.88 pp and -16.37 % ± 5.42 pp. With increasing GA, right ventricular endoGLS decreased slightly while the left ventricular were almost constant. The statistical analysis for endoGLS showed a Bland-Altman-Bias of -4.24 pp ± 8.06 pp for the right and -3.21 pp ± 7.11 pp for the left ventricle. The Bland-Altman-Bias of the ED in both ventricles in all analyzed segments ranged from -0.49 mm ± 1.54 mm to -0.10 mm ± 1.28 mm, that for FS from -0.33 pp ± 11.82 pp to 3.91 pp ± 15.56 pp and that for SI from -0.38 ± 0.68 to -0.15 ± 0.45. Conclusions Between both operators, our data indicated that 2D-STE analysis showed excellent agreement for cardiac morphometry parameters (ED and SI), and good agreement for cardiac function parameters (EndoGLS and FS). Due to its complexity, the application of fetal 2D-STE remains the domain of scientific-academic perinatal ultrasound and should be placed preferably in the hands of skilled operators. At present, from our perspective, an implementation into clinical practice ‘on-the-fly’ cannot be recommended.

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“…An ultrasound examination is highly examiner-dependent-especially in filigreed, moving and changing fetal structures-and training is of enormous significance, even in the acquisition of the MPI [34,35]. Future experts will progressively be guided by applications of artificial intelligence (AI), on whose algorithms prenatal diagnostics will rely on increasingly [36][37][38][39][40][41]. By now, the acquisition of the MPI can also be achieved automatically using AI [23,30,[42][43][44].…”

Section: Introductionmentioning

confidence: 99%

How Automated Techniques Ease Functional Assessment of the Fetal Heart: Applicability of MPI+™ for Direct Quantification of the Modified Myocardial Performance Index

et al. 2023

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(1) Objectives: In utero functional cardiac assessments using echocardiography have become increasingly important. The myocardial performance index (MPI, Tei index) is currently used to evaluate fetal cardiac anatomy, hemodynamics and function. An ultrasound examination is highly examiner-dependent, and training is of enormous significance in terms of proper application and subsequent interpretation. Future experts will progressively be guided by applications of artificial intelligence, on whose algorithms prenatal diagnostics will rely on increasingly. The objective of this study was to demonstrate the feasibility of whether less experienced operators might benefit from an automated tool of MPI quantification in the clinical routine. (2) Methods: In this study, a total of 85 unselected, normal, singleton, second- and third-trimester fetuses with normofrequent heart rates were examined by a targeted ultrasound. The modified right ventricular MPI (RV-Mod-MPI) was measured, both by a beginner and an expert. A calculation was performed semiautomatically using a Samsung Hera W10 ultrasound system (MPI+™, Samsung Healthcare, Gangwon-do, South Korea) by taking separate recordings of the right ventricle’s in- and outflow using a conventional pulsed-wave Doppler. The measured RV-Mod-MPI values were assigned to gestational age. The data were compared between the beginner and the expert using a Bland-Altman plot to test the agreement between both operators, and the intraclass correlation was calculated. (3) Results: The mean maternal age was 32 years (19 to 42 years), and the mean maternal pre-pregnancy body mass index was 24.85 kg/m2 (ranging from 17.11 to 44.08 kg/m2). The mean gestational age was 24.44 weeks (ranging from 19.29 to 36.43 weeks). The averaged RV-Mod-MPI value of the beginner was 0.513 ± 0.09, and that of the expert was 0.501 ± 0.08. Between the beginner and the expert, the measured RV-Mod-MPI values indicated a similar distribution. The statistical analysis showed a Bland-Altman bias of 0.01136 (95% limits of agreement from −0.1674 to 0.1902). The intraclass correlation coefficient was 0.624 (95% confidence interval from 0.423 to 0.755). (4) Conclusions: For experts as well as for beginners, the RV-Mod-MPI is an excellent diagnostic tool for the assessment of fetal cardiac function. It is a time-saving procedure, offers an intuitive user interface and is easy to learn. There is no additional effort required to measure the RV-Mod-MPI. In times of reduced resources, such assisted systems of fast value acquisition represent clear added value. The establishment of the automated measurement of the RV-Mod-MPI in clinical routine should be the next level in cardiac function assessment.

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The application of artificial intelligence in the sonography profession: Professional and educational considerations

Cited by 13 publications

References 49 publications

Impact of transperineal ultrasound on perineal skin dose in prostate radiation therapy

Impact of transperineal ultrasound on perineal skin dose in prostate radiation therapy

How automated techniques ease functional assessment of the fetal heart: applicability of two-dimensional speckle-tracking echocardiography for comprehensive analysis of global and segmental cardiac deformation using fetalHQ®

How Automated Techniques Ease Functional Assessment of the Fetal Heart: Applicability of MPI+™ for Direct Quantification of the Modified Myocardial Performance Index

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