Introduction to artificial intelligence in ultrasound imaging in obstetrics and gynecology

Drukker, L., Noble, J. A., Papageorghiou, A. T.·2020·Ultrasound in Obstetrics & Gynecology

Cited by (251)

Items 101–200 of 251

  1. Artificial Intelligence to Determine Fetal Sex
    Emily Helena Frisch, Anant Jain, Mike Jin, Erik Duhaime, Amol K. Malshe, Steve Corey, Robert Allen, Nicole M. Duggan, Chanel E. Fischetti · 2024 · American Journal of Perinatology
  2. A Novel Method for Determining Fibrin/Fibrinogen Degradation Products and Fibrinogen Threshold Criteria via Artificial Intelligence in Massive Hemorrhage during Delivery with Hematuria
    Yasunari Miyagi, Katsuhiko Tada, Ichiro Yasuhi, Keisuke Tsumura, Yuka Maegawa, Norifumi Tanaka, Tomoya Mizunoe, Ikuko Emoto, Kazuhisa Maeda, Kosuke Kawakami · 2024 · Journal of Clinical Medicine
  3. Artificial Intelligence in Ultrasound Imaging: Where Are We Now?
    Jie Zhang, Adrian A. Dawkins · 2024 · Ultrasound Quarterly
  4. The use of AI and ChatGPT in teaching synonyms to EFL students
    Min Chen · 2024 · Research Studies in English Language Teaching and Learning
  5. Futuristic Technologies for Smart Manufacturing
    Amit Kumar Tyagi, Anand Kumar Mishra, Nalla Vedavathi, V. Kakulapati, S. A. Sajidha · 2023 · Wiley eBooks
  6. From Magnetic Moment to Magnetic Particle Imaging: A Comprehensive Review on MPI Technology, Tracer Design and Biological Applications
    Alessandro Negri, André Bongers · 2026 · Pharmaceutics
  7. Advancements in Interventional Pulmonology: Harnessing Ultrasound Techniques for Precision Diagnosis and Treatment
    Alireza Nathani, Sevak Keshishyan, Roy Joseph Cho · 2024 · Diagnostics
  8. Task sharing for increasing access to obstetric ultrasonography: a formative qualitative study of nurse-led scanning with telemedicine review in Kenya
    Meghan Bruce Kumar, Caleb Mike Mulongo, Lucia Pincerato, Maria Vittoria De Vita, Salima Saidi, Yvonne Gakii, Gianfranco Morino, Pratap A. Kumar · 2024 · Oxford Open Digital Health
  9. Handheld Ultrasound Bladder Volume Assessment Compared to Standard Technique
    Sanna Michelle Ho-Gotshall, Casey Lee Wilson, Errett Jacks, Rahul Kashyap · 2024 · Cureus
  10. A 10-Year Retrospective Review of Prenatal Applications, Current Challenges and Future Prospects of Three-Dimensional Sonoangiography
    Tuangsit Wataganara, Thanapa Rekhawasin, Nalat Sompagdee, Sommai Viboonchart, Nisarat Phithakwatchara, Katika Nawapun · 2021 · Diagnostics
  11. Yapay Zekâ Teknolojisinin Perinatal Dönem Bakımına Entegrasyonu ve Uygulama Örnekleri
    Buse HÜBAN KARAKAYA, Asiye Sena AKYOL, Yeliz Doğan Merih · 2022 · Türkiye Sağlık Enstitüleri Başkanlığı Dergisi
  12. Awareness, Training, and Perceived Needs of Gynecologists in Interpreting Basic Imaging Studies: A Cross-Sectional Survey in Saudi Arabia
    Eman Altom, Aminah Fouad, Doaa Fathelrahman Abdalmohssin Bilal, Njood Alsudairy · 2024 · Cureus
  13. Evaluating the usability and practicality of AI-enabled smartphone-based obstetric ultrasound in Sierra Leone: a mixed-methods study
    Abu Dim Din Sesay, Amie Lompri Koroma, Anke van der Kwaak, Enya Seguin, Alhassan Fouard Kanu, Abdul Mac Falama, Mirjam I. Bakker, Irene de Vries · 2026 · BMC Pregnancy and Childbirth
  14. Deep learning in renal ultrasound: applications, challenges, and future outlook
    Yong Zhang, Yao Hou, Tingting Qiu, Yan Zhuang, Chen Kl, Wenwu Ling, Yan Luo, Jiangli Lin · 2026 · Frontiers in Oncology
  15. AI-based quality control was associated with improved fetal ultrasound image quality in low-resource settings: a real-world multicenter study from West China
    Jianxin Zhao, Yao Tang, Shengli Li, Ke Wang, Jing Tao, Chunyi Chen, Jiayuan Zhou, Lang Cui, Yuji Wang, Cheng Huang et al. · 2026 · BMC Medicine
  16. Cost-utility analysis of prenatal diagnosis of congenital cardiac diseases using deep learning
    Gary Michael Ginsberg, Lior Drukker, Uri Pollak, Mayer Brezis · 2024 · Cost Effectiveness and Resource Allocation
  17. Importance of Ultrasonic Testing and Its Metrology Through Emerging Applications
    Kalpana Yadav, Sanjay Yadav, P. K. Dubey · 2023 · Springer eBooks
  18. Artificial Intelligence Model for Human Capital Management
    Didik Hadiyatno, Dwi Susilowati, Nadi Hernadi Moorcy, Imam Arrywibowo, Tutik Yuliani · 2023 · Jurnal Penelitian Pendidikan IPA
  19. Fetal Face: Enhancing 3D Ultrasound Imaging by Postprocessing With AI Applications: Myth, Reality, or Legal Concerns?
    Gabriele Tonni, Gianpaolo Grisolia, Silvia Tonni, Valter Lacerda de Andrade, Rodrigo Ruano, Waldo Sepúlveda · 2024 · Journal of Clinical Ultrasound
  20. Künstliche Intelligenz (KI)
    R. Kreienberg, Wolfgang Janni, Klaus J. Vetter · 2021 · Der Gynäkologe
  21. Artificial Intelligence Aided Ultrasound Detection of DDH: A Scoping Review Protocol
    Rusul Yonis, Daniel J. Perry, James Simeon Bowness, Mohammed Khattak, Natalie Hall · 2024 · medRxiv
  22. Automatic uterus segmentation in transvaginal ultrasound using U-Net and nnU-Net
    Dilara Tank, Bianca G. S. Schor, Lisa M. Trommelen, Judith A.F. Huirne, Iacer Calixto, Robert Adrianus de Leeuw · 2025 · PLoS ONE
  23. Modelling maternal cardiovascular adaptation to pregnancy: a scoping review
    Kathryn Frances Hunt, Ioannis Polydoros, Raoul van Loon, Rosemary Townsend, Rebecca M. Reynolds · 2025 · BMC Pregnancy and Childbirth
  24. Evaluation of AI language models in answering pregnancy-related questions assessed by obstetrics specialists
    Betül Keyif, Engin Yurtçu, Alper Başbuğ, Gökhan Göynümer · 2026 · Scientific Reports
  25. The problem with the ‘truth’: rethinking ground truth for artificial intelligence in endometriosis diagnosis
    Alison Deslandes, Yuan Zhang, Mathew Leonardi, Hsiang‐Ting Chen, Gustavo Carneiro, Jodie Avery, George Stanley Condous, Steven Knox, Mary Louise Hull, the IMAGENDO Team · 2026 · Human Reproduction
  26. Decision support systems in the diagnosis of urological diseases
    A O Vasilyev, А. В. Говоров, P.A. Arutyunyan, Yuriy A. Kim, Arman Sarukhanian, Pushkar' DIu · 2024 · Cancer Urology
  27. Strategic Guidelines to Integrate Artificial Intelligence in Obstetrics and Gynecology: Best Practices and Ethical Considerations
    Pallav Sengupta, Sulagna Dutta, Sovan Bagchi, Prashanth Hegde, Suraj K. Sebastian, David Taylor, Ralf Henkel · 2025 · Reproductive Sciences
  28. Brain views that benefit from three-dimensional ultrasound
    Aly Youssef, Gianluigi Pilu · 2021 · Current Opinion in Obstetrics & Gynecology
  29. Ultrasound education across European Federation of Radiographers Societies (EFRS) countries: Similarities and differences
    Barbara Kraus, Gill Harrison, Rute M. Santos, Malene Roland Vils Pedersen · 2024 · Radiography
  30. Role of Artificial Intelligence in the Diagnosis and Therapy of Gynecological Disorders: Opportunities and Challenges
    Savithri Vemulavada, Shriya Karthikvatsan, Anchana Babu, B. Kadalmani, T. Ramani Devi, T. Sasipraba, Radhakrishnan Manikkam, Krupakar Parthasarathy, V. Hari Balaji · 2024 · Springer eBooks
  31. The Holy Grail of obstetric ultrasound: can artificial intelligence detect hard‐to‐identify fetal cardiac anomalies?
    Lior Drukker · 2024 · Ultrasound in Obstetrics and Gynecology
  32. Artificial intelligence in ultrasound imaging: Inevitable, promising, and in need of responsible stewardship
    Manjiri Dighe · 2026 · WFUMB Ultrasound Open
  33. History of the Ultrasound Machine in Obstetrics and Gynecology
    Ada Douglas, Anjali Benjamin Daniel, Savithri C. Veluri · 2024 · Academic Medicine & Surgery
  34. Language Instruction in Indonesian Elementary Schools Through Computer Assisted Language Learning: A Library Research Review
    Ferril Irham Muzaki, Yohannes Kurniawan Barus, M Anas Tohir, Erif Ahdhianto, Candra Utama, Arda Purnama Putra · 2023 · New Language Dimensions
  35. Advancing equity with technology and innovation in obstetrics: A critical approach to obstetric TechQuity
    Alisse K. Hauspurg, Valene Garr Barry, Natalie Hernandez, Mark A. Clapp, Melissa Spring Wong, Adam Korrick Lewkowitz · 2025 · Pregnancy
  36. Artificial intelligence aided ultrasound imaging of foetal congenital heart disease: A scoping review
    Leslie A Norris, Paul Lockwood · 2025 · Radiography
  37. Emerging applications of artificial intelligence for obstetric ultrasound: A scoping review
    Vani Gupta, Nicole Santos, Sara Della Ripa, D. A. Walker · 2026 · International Journal of Gynecology & Obstetrics
  38. Artificial Intelligence as an Add‐On Instrument in Fetal Ultrasound; Sonographers' and Obstetricians' Expectations
    Renee Smit, Chiara C.M.M. Lap, Rima Arnaout, Anita J. Moon‐Grady, Monique C. Haak · 2026 · Prenatal Diagnosis
  39. Farewell to the transthalamic plane: toward a unified transventricular standard
    Laurent Guibaud, G. Pilu · 2026 · Ultrasound in Obstetrics and Gynecology
  40. Artificial Intelligence in Obstetrics: Current Trends and Future Directions
    Ittai Many, Ariel Many · 2026 · Journal of Clinical Medicine
  41. Artificial intelligence in maternal and child health: Current applications, translational gaps, and future research priorities
    Paula Domínguez-del Olmo, Juan D. Arévalo, Cecilia Villalaín, Ignacio Herraı̀z, Alberto Galindo, María Cernada, Julia Kuligowski, Iris Iglesia, Gerardo Rodrı́guez, Elvira Larqué et al. · 2026 · Women s Health
  42. Bestehende und zukünftige Assistenzsysteme in der pränatalmedizinischen Bildgebung
    Karl Oliver Kagan, Markus Hoopmann · 2021 · Der Gynäkologe
  43. Point-of-care ultrasound for abdominal pain in obstetrics and gynecological diseases
    Ayako Shibata · 2022 · Journal of Medical Ultrasonics
  44. Artificial Intelligence's Ethical and Legal Issues in the Healthcare Sector
    Chinkal Arunkumar Parmar · 2024 · International Journal of Research in Medical Sciences & Technology
  45. Effect of an online teaching module on midwives’ knowledge, attitude and practice regarding intrapartum ultrasound: A quasi-experimental approach
    Bram Packet, Adéla Samešová, Jute Richter · 2024 · European Journal of Midwifery
  46. A Systematic Review of Fetal Movements during Maternal Apnea in the Third Trimester of Pregnancy: An Indicator of Resistance to Intrauterine Hypoxia
    Natalya Urakova, Александр Ливиевич Ураков, Victor Olamiposi Olaiya, Vincentia Kuukua Agyekum, Fidelis Ogenetega Ejeheri, Ekow Dadzie, Petr Dmitrievich Shabanov · 2025 · Current Women s Health Reviews
  47. Artificial Intelligence in Ultrasound-Based Diagnoses of Gynecological Tumors: A Systematic Review
    Fatima Siddig Abdalla Mohammed, Sara Mirghani Ahmed Eisa, Alsafa Mohamed Abdalla Madani, Najah Madyan F Alrowili, Ahlam Mohammed K Al Ghaythan, Ibtihal Meargani Mohamed Ali, Lamis Elamin, Naima Abdirahman Salad · 2025 · Cureus
  48. Regulation of Tech Forces-Technological Backlash: The Luddite Perspective
    Larry Earnhart · 2024 · Future of business and finance
  49. Enhancing skin aging parameter assessment in clinical trials: AI-Driven analysis of ultrasound images
    Mariane Massufero Vergílio, Samara Flamini Kiihl, João B. Florindo, Gislaine Ricci Leonardi · 2024 · Biomedical Signal Processing and Control
  50. Ethical Considerations in AI-Powered Health Communities to Promote Good Health and Wellbeing
    Chin‐Siang Ang, Kam-Fong Lee · 2025 · Advances in computational intelligence and robotics book series
  51. Künstliche Intelligenz in der Medizin und Gynäkologie – Holzweg oder Heilversprechen?
    Daniel Sonntag · 2021 · Der Gynäkologe
  52. Artificial Intelligence for Anatomical Structure Identification on Ultrasound in Regional Anaesthesia: A Scoping Review Protocol
    James Simeon Bowness, David Metcalfe, Kariem El‐Boghdadly, Neal Thurley, Julia Alison Noble, Helen Higham · 2023 · medRxiv
  53. Fetal magnetic resonance imaging artifacts: role of deep learning to improve imaging
    Heron Werner, I. Félix Santos, Graciela Giraldi, Jorge Lopes, Gerson Luiz Ulema Ribeiro, F. P. Lopes · 2023 · Ultrasound in Obstetrics and Gynecology
  54. Placement model for students into appropriate academic class using machine learning
    Khalid Haruna, Anadi Stella Uju, Ibrahim Alhaji Lawal, Raliya Abubakar · 2023 · Science in Information Technology Letters
  55. Neural networks in oncourology
    Михаил Павлович Корчагин, А. В. Говоров, A O Vasilyev, Игорь Олегович Грицков, Pushkar' DIu · 2024 · Urology Herald
  56. Application of ultrasound in combination with other methods in gynecological disease: artificial intelligence, surgery, and drugs
    Shaohua Shi, Chengcheng Dai, Demin Liu, Xingjie Liu · 2025 · Frontiers in Oncology
  57. Enhancing Fetal Cardiac Imaging With Artificial Intelligence
    Juliana Gevaerd Martins, Rebecca Horgan, Elena S. Sinkovskaya · 2025 · Clinical Obstetrics & Gynecology
  58. Artificial intelligence to support ultrasound in the detection of developmental dysplasia of the hip
    Rusul Yonis, Laurence Still, Mohammed Khattak, Natalie Hall, James Simeon Bowness, Daniel C. Perry · 2026 · Bone & Joint Open
  59. Automated interpretation of fetal cardiac function evaluation from the echocardiogram
    Caixin Huang, Lihe Zhang, Baihong Xie, Yuting Jiang, Yunxiao Zhu, Xiaozhen Liu, Ting Lei, Miao He, Yafei Yan, Nan Wang et al. · 2026 · npj Digital Medicine
  60. Empowering Patients Through AI Technologies: Contextualize and Personalize Patient Care
    Buddhadev Sasmal, Ramesh Saha, Krishna Gopal Dhal, Diptangshu Pandit, Sohail Saif, Gitosree Khan · 2026 · Springer optimization and its applications
  61. How to apply the DAZE technique: structured approach to fetal cardiac image optimization
    Mishella Perez, Mark Sklansky, T. Anton, Katie Jo Stauffer, R. Basu, D. Pretorius · 2026 · Ultrasound in Obstetrics and Gynecology
  62. UOG now and beyond!
    Anthony O. Odibo · 2021 · Ultrasound in Obstetrics and Gynecology
  63. A Review of AI-Based Approaches for Suspected Fetal Abnormalities
    Nusrat Jawed Iqbal Ansari, Maniroja M. Edinburg, NIKITHA NIKITHA · 2024 · Information systems engineering and management
  64. Smart Healthcare: Integrating Artificial Intelligence for Better Patient Outcomes
    Shilpa Sivashankar, Allwin Ebinesar Jacob Samuel Sehar, M. Ismail Shareef, Aswathy V Nair, C M Shree Lakshmi, D. M. Moulya, G.Megala P.Sri Vidhya · 2024
  65. AI in English Teaching With ChatGPT
    Amjad Kamal Owais · 2025 · Advances in computational intelligence and robotics book series
  66. OSAM-NET: A multi-feature fusion model for measuring fetal head flexion during labor with transformer multi-head self-attention
    Shijie Zhang, Shaozheng He, Jingjing Wu, Dandan Wang, Pan Zeng, Guorong Lyu · 2025 · Computerized Medical Imaging and Graphics
  67. The Cervix in Context: Bias Assessment in Preterm Birth Prediction
    Joris Fournel, Paraskevas Pegios, Emilie Pi Fogtmann Sejer, Martin G. Tolsgaard, Aasa Feragen · 2025 · Lecture notes in computer science
  68. Development of a Novel Machine Learning Model for Automatic Assessment of Quality of Transvaginal Ultrasound Images From Multi‐Annotator Labels
    Alison Deslandes, Daniel Petashvili, H. Wang, Gustavo Carnerio, Jodie Avery, George Condous, Mathew Leonardi, Mary Louise Hull, Hsiang‐Ting Chen · 2025 · Australasian Journal of Ultrasound in Medicine
  69. Beyond Incremental: Embracing Transformative Innovation in Women’s Health
    Mark I. Evans, Lawrence D. Devoe, Gregory F Ryan, David W. Britt, Christian R. Macedonia · 2026 · Reproductive Medicine
  70. Deep Learning in Obstetric Sonography: A Literature Review of Techniques, Applications, and Challenges
    Abdullah Mohan · 2026 · Journal of diagnostic medical sonography
  71. Aplicação de inteligência artificial como suporte pós-operatório para pacientes submetidos à cirurgia torácica
    BEATRIZ D’ÁVILA PEREIRA DA SILVA, Ernesto Evangelista, João Aléssio Juliano Perfeito, André Miotto · 2026 · Revista do Colégio Brasileiro de Cirurgiões
  72. When technology advances faster than competence: the risk of deskilling in obstetrics and gynecology
    Agnaldo Lopes da Silva, Eduardo Cordioli, Sergio Podgaec, Marcos Felipe Silva de Sá, Maria Celeste Osório Wender · 2026 · Revista Brasileira Ginecologia e Obstetrícia
  73. An online cross-section survey exploring the training needs of healthcare professionals learning to perform transvaginal ultrasound for endometriosis: Does artificial intelligence have a role to play?
    Alison Deslandes, Jodie Avery, Rebecca L. O’Hara, Hsiang‐Ting Chen, Mathew Leonardi, Mary Louise Hull, George Stanley Condous · 2026 · Journal of Endometriosis and Uterine Disorders
  74. Machine learning for precision obstetrics: A comprehensive review of risk prediction models for hypertensive disorders and pregnancy-related syndromes
    Juanjuan Xie, 时春艳, Lei Dou, Dan Peng, Li Li, Rui Xu, Yanqi Wu · 2026 · Pregnancy Hypertension
  75. AI and The Cardiologist-When Mind, Heart and Machine Unite
    Antonio D’Costa, Aishwarya Zatale · 2022 · Communications in computer and information science
  76. Application of Artificial Intelligence to Ultrasonography
    Xaira Elena Santacruz-Yaah · 2022 · Science Insights
  77. Application of digital methods and artificial intelligence capabilities for diagnostics in obstetrics and gynecology
    E.R. Safiullina, E.I. Rychkova, I.V. Мayorova, D.Kh. Khairutdinova, A.A. Slonskaya, A.S. Faronova, Y.A. Davydova, I.A. Mussova · 2023 · Cardiometry
  78. An opportunity for using artificial intelligence in modern gynecology
    Шайлиева Шеридан Ларсеновна, D. Kh. Mamchueva, A. P. Vishnevskaya, Kh. Sh. Dzhalaeva, E. G. Ramazanova, Y. R. Kokaeva, Z. M. Eloeva, D. R. Aisanova, A. S. Vinogradova, R. R. Tuko et al. · 2024 · Obstetrics Gynecology and Reproduction
  79. Use of Artificial Intelligence in Ultrasound Diagnosis of Fetal Central Nervous System Anomalies Between 19 and 22 Weeks’ Gestation
    Alexey V. Pomortsev, Andrey N. Redko, E. A. Barsukova, Матосян Мариам Альбертовна, J. Yu. Dyachenko, R. A. Dyachenko, Белоглядова Ирина Александровна, Янаева Марина Викторовна, V. T. Babayan · 2024 · Innovative medicine of Kuban
  80. Importance of Ultrasonic Testing and Its Metrology Through Emerging Applications
    Kalpana Yadav, Sanjay Yadav, P. K. Dubey · 2022 · Springer eBooks
  81. Description and clinical validation of a real-time AI diagnostic companion for fetal ultrasound examination
    J. Stirnemann, Rémi Besson, Emmanuel Spaggiari, Sandra Rojo, Frédéric Logé, Hélène Peyro-Saint-Paul, Stéphanie Allassonnière, Erwan Le Pennec, Yves G. Ville · 2021 · medRxiv
  82. La gynécologie-obstétrique à l’âge de l’Intelligence Artificielle
    Imane Ben M’Barek, Grégoire Jauvion, Pierre‐François Ceccaldi · 2022 · Gynécologie Obstétrique Fertilité & Sénologie
  83. Cost-Utility Analysis of Prenatal Diagnosis of Congenital Cardiac Diseases using Deep Learning
    Gary Michael Ginsberg, Lior Drukker, Uri Pollak, Mayer Brezis · 2024
  84. A picture is worth a thousand words: textual analysis of the routine 20‐week scan
    Mohammad Alsharid, Lior Drukker, Harshita Sharma, Julia Alison Noble, Aris T. Papageorghiou · 2022 · Ultrasound in Obstetrics and Gynecology
  85. FemNet: Distilling Responsible Frames from Ultrasound Cineclips of Breast Cancer Screening Using Feature Entropy Empowered Deep Learning
    Yitao Jiang, Huaiyu Wu, Chen Cui, Siyuan Shi, Xiuqin Ye, Hongtian Tian, Di Song, Jincao Yao, Liping Wang, Mei Zhang et al. · 2022 · SSRN Electronic Journal
  86. Isotonic Muscle Strength Evaluation Based on Ultrasound Video
    Beilei Zhang, Qian Lv, Jianzhong Guo · 2022 · Advances in transdisciplinary engineering
  87. Aktuelle Aspekte zur künstlichen Intelligenz in der gynäkologischen Diagnostik
    Jann Lennard Scharf, Christoph Dracopoulos, Michael Gembicki, Amrei Welp, Jan Weichert · 2022 · Die Gynäkologie
  88. Referral ultrasound in fetal medicine: May telemedicine play a pivotal role?
    Giuseppe Rizzo, Lodovico Patrizi · 2022 · Journal of Clinical Ultrasound
  89. Explainable Artificial Intelligence in Gynecology and Obstetrics
    Alberto Barbado Gonza Iez · 2021 · Journal of Gynecology and Womens Health
  90. Smart ICV ™ versus VOCAL ™ in fetal brain volume assessment: Can we begin to trust artificial intelligence in clinical practice?
    Gianpaolo Grisolia, Alessia Pinto · 2023 · Journal of Clinical Ultrasound
  91. The Promise of Query Answering Systems in Sexuality Studies: Current State, Challenges and Limitations
    Andrea Morales-Garzón, Gracia M. Sánchez-Pérez, Juan Carlos Sierra, María José Martín-Bautista · 2023 · Lecture notes in computer science
  92. Artificial intelligence as a coming revolution in medicine
    Rami Ben Rhaiem, Grzegorz Tarsa, Katarzyna Sudelska, Zuzanna Sawińska, Przemysław Kępka, Aleksandra Łokczewska-Bojar, Daria Kuziemkowska, Jan Kuźma, Magdalena Skotalczyk, Anna Łącka-Majcher · 2023 · Journal of Education Health and Sport
  93. Deep Learning-based FemNet for Key Frame Selection in Ultrasound Videos of Breast Cancer Screening: Distilling Responsible Frames with Feature Entropy for Improved Diagnostic Accuracy
    Jing Chen, Huaiyu Wu, Yitao Jiang, Shuzhen Tang, Chen Cui, Siyuan Shi, Hongtian Tian, Keen Yang, Zhibin huang, Jinfeng Xu et al. · 2023 · Research Square
  94. Integrating Technologies: An Affordable Health Care System in Digital India
    Maninder Ahuja, Avir Sarkar, Vartika Sharma · 2023 · Journal of Mid-life Health
  95. Future Applications of Handheld POCUS
    Craig J. Fryman, Paul H. Mayo · 2023 · Springer eBooks
  96. Interpretable Machine learning for the Cesarean Section Risk Identification in Epidural Analgesia
    Sara Montagna, Rita Pini, Riccardo Benedetti, Giuliano Bolondi, Angelo Croatti, Annabella DE CHIARA, Georgia Malewski, Giada Pierucci, Vanni Agnoletti, Stefano Ferretti · 2023 · Research Square
  97. The increasing role of ultrasound in OB-GYN practice: Present and future applications
    Lara Marie G. David-Bustamante · 2023 · Philippine Journal of Obstetrics and Gynecology
  98. Cost-Utility Analysis of Prenatal Diagnosis of Congenital Cardiac Diseases using Deep Learning
    Gary Michael Ginsberg, Lior Drukker, Uri Pollak, Meyer Brezis · 2024 · Research Square
  99. Aile Hekimleri için Genitoüriner Sistem Hastalıklarına Yaklaşım
    Muhammed Ali Ulucak, Murat Cengizhan Atik, Mustafa Esat İnce, Fatih Türkoğlu, Berkay Eren, Veysel Bayburtluoğlu, Ayşe Yılmaz Yalçınkaya, Recep Uzun, Veli Mert Yazar, Kemal Ulusoy et al. · 2023 · Akademisyen Kitabevi eBooks
  100. Ultrasound-Based Deep Learning Models Performance versus Expert Subjective Assessment for Discriminating Adnexal Masses: A Head-to-Head Systematic Review and Meta-Analysis
    Mariana Lourenço, Teresa Arrufat, Elena Satorres-Pérez, Sara Maderuelo, Blanca Novillo-Del Álamo, S. Guerriero, Rodrigo Orozco, Juan Luis Alcázar · 2024 · Applied Sciences