Results 1 to 10 of about 12,792 (223)

Medical Professional Enhancement Using Explainable Artificial Intelligence in Fetal Cardiac Ultrasound Screening [PDF]

Biomedicines, 2022
Diagnostic support tools based on artificial intelligence (AI) have exhibited high performance in various medical fields. However, their clinical application remains challenging because of the lack of explanatory power in AI decisions (black box problem),
Akira Sakai, Masaaki Komatsu, Reina Komatsu, Ryu Matsuoka, Suguru Yasutomi, Ai Dozen, Kanto Shozu, Tatsuya Arakaki, Hidenori Machino, Ken Asada, Syuzo Kaneko, Akihiko Sekizawa, Ryuji Hamamoto   +12 more
doaj   +7 more sources

Automated Assessment of the Pulmonary Artery-to-Ascending Aorta Ratio in Fetal Cardiac Ultrasound Screening Using Artificial Intelligence [PDF]

Bioengineering
The three-vessel view (3VV) is a standardized transverse scanning plane used in fetal cardiac ultrasound screening to measure the absolute and relative diameters of the pulmonary artery (PA), ascending aorta (Ao), and superior vena cava, as required. The
Rina Aoyama, Masaaki Komatsu, Naoaki Harada, Reina Komatsu, Akira Sakai, Katsuji Takeda, Naoki Teraya, Ken Asada, Syuzo Kaneko, Kazuki Iwamoto, Ryu Matsuoka, Akihiko Sekizawa, Ryuji Hamamoto   +12 more
doaj   +7 more sources

Three-Dimensional Visualization and Detection of the Pulmonary Venous–Left Atrium Connection Using Artificial Intelligence in Fetal Cardiac Ultrasound Screening [PDF]

Bioengineering
Total anomalous pulmonary venous connection (TAPVC) is one of the most severe congenital heart defects; however, prenatal diagnosis remains suboptimal. A normal fetal heart has a junction between the pulmonary venous (PV) and left atrium (LA).
Reina Komatsu, Masaaki Komatsu, Katsuji Takeda, Naoaki Harada, Naoki Teraya, Shohei Wakisaka, Takashi Natsume, Tomonori Taniguchi, Rina Aoyama, Mayumi Kaneko, Kazuki Iwamoto, Ryu Matsuoka, Akihiko Sekizawa, Ryuji Hamamoto   +13 more
doaj   +4 more sources

Factors affecting the accuracy of fetal cardiac ultrasound screening in the first trimester of pregnancy. [PDF]

J Med Ultrason (2001)
Abstract Purpose Most studies on the performance of first-trimester cardiac screening have concentrated on comparing the detection rate between different protocols and not on the actual reason for false-negative results.
Hashiramoto S, Kaneko M, Takita H, Yamashita Y, Matsuoka R, Sekizawa A.   +5 more
europepmc   +3 more sources

Artificial Intelligence-Based Automated Assessment of the Four-Chamber View in Fetal Cardiac Ultrasound Videos [PDF]

Bioengineering
The clinical application of artificial intelligence (AI) can provide technical support for examiners and improve obstetric workflow efficiency. In this study, we developed AI models that automatically extract the four-chamber view (4CV) from fetal ...
Naoki Teraya, Masaaki Komatsu, Katsuji Takeda, Kanto Shozu, Naoaki Harada, Reina Komatsu, Akira Sakai, Rina Aoyama, Mayumi Kaneko, Ken Asada, Syuzo Kaneko, Kazuki Iwamoto, Akitoshi Nakashima, Ryu Matsuoka, Akihiko Sekizawa, Ryuji Hamamoto   +15 more
doaj   +2 more sources

Detection of Cardiac Structural Abnormalities in Fetal Ultrasound Videos Using Deep Learning

Applied Sciences, 2021
Artificial Intelligence (AI) technologies have recently been applied to medical imaging for diagnostic support. With respect to fetal ultrasound screening of congenital heart disease (CHD), it is still challenging to achieve consistently accurate ...
Masaaki Komatsu, Akira Sakai, Reina Komatsu, Ryu Matsuoka, Suguru Yasutomi, Kanto Shozu, Ai Dozen, Hidenori Machino, Hirokazu Hidaka, Tatsuya Arakaki, Ken Asada, Syuzo Kaneko, Akihiko Sekizawa, Ryuji Hamamoto   +13 more
doaj   +3 more sources

Image Segmentation of the Ventricular Septum in Fetal Cardiac Ultrasound Videos Based on Deep Learning Using Time-Series Information

Biomolecules, 2020
Image segmentation is the pixel-by-pixel detection of objects, which is the most challenging but informative in the fundamental tasks of machine learning including image classification and object detection.
Ai Dozen, Masaaki Komatsu, Akira Sakai, Reina Komatsu, Kanto Shozu, Hidenori Machino, Suguru Yasutomi, Tatsuya Arakaki, Ken Asada, Syuzo Kaneko, Ryu Matsuoka, Daisuke Aoki, Akihiko Sekizawa, Ryuji Hamamoto   +13 more
doaj   +3 more sources

Ultrasound Screening in the First and Second Trimester of Pregnancy for the Detection of Fetal Cardiac Anomalies in a Low-Risk Population

Diagnostics
Background/Objectives: Congenital heart disease (CHD) is the most common birth defect, an important cause of morbidity and mortality, with a reported prevalence of 5–12 per 1000 live births.
Aura Iuliana Popa, Nicolae Cernea, Marius Cristian Marinaș, Maria Cristina Comănescu, Ovidiu Costinel Sîrbu, Dragoș George Popa, Larisa Pătru, Vlad Pădureanu, Ciprian Laurențiu Pătru   +8 more
doaj   +3 more sources

Correction: Komatsu et al. Three-Dimensional Visualization and Detection of the Pulmonary Venous–Left Atrium Connection Using Artificial Intelligence in Fetal Cardiac Ultrasound Screening. Bioengineering 2026, 13, 100 [PDF]

Bioengineering (Basel)
In the original publication [1], there was a mistake in relation to the cited references:8 [...]
Komatsu R, Komatsu M, Takeda K, Harada N, Teraya N, Wakisaka S, Natsume T, Taniguchi T, Aoyama R, Kaneko M, Iwamoto K, Matsuoka R, Sekizawa A, Hamamoto R.   +13 more
europepmc   +2 more sources

Learning Curve of First-Trimester Detailed Cardiovascular Ultrasound Screening by Moderately Experienced Obstetricians in 3509 Consecutive Unselected Pregnancies with Fetal Follow-Up

Life
Our primary objective was to assess the effectiveness of detailed cardiovascular ultrasound screening during the first trimester, which was performed by obstetricians with intermediate experience. We collected first-trimester fetal cardiac screening data
Tibor Elekes, Gyula Csermely, Krisztina Kádár, László Molnár, Gábor Keszthelyi, Andrea Hozsdora, Miklós Vizer, Marianna Török, Petra Merkely, Szabolcs Várbíró   +9 more
doaj   +3 more sources