Evidence
![](https://psychiatryai.com/wp-content/uploads/2023/04/psychiatryai_com.webp)
![Google](https://www.google.com/images/branding/googlelogo/2x/googlelogo_light_color_92x30dp.png)
![Google Keep](https://www.gstatic.com/images/branding/product/1x/keep_48dp.png)
![Share on Linkedin](https://psychiatryai.com/wp-content/uploads/2023/10/linkedin-logo-png-2048-1.png)
Estimated reading time: 1 minute(s)
Latest: Psychiatryai.com #RAISR4D Evidence
![](/wp-content/uploads/2024/04/bd462cc11bcf0bd0d0d6f1d0f8b7cd04-modified-1.png)
Cool Evidence: Engaging Young People and Students in Real-World Evidence
![](/wp-content/uploads/2024/04/bd462cc11bcf0bd0d0d6f1d0f8b7cd04-modified-1.png)
Real-Time Evidence Search [Psychiatry]
![](/wp-content/uploads/2024/04/pubmed.png)
AI Research
![](/wp-content/uploads/2024/05/Il5nR_nf_400x400-modified-1.png)
Use of artificial intelligence and deep learning in fetal ultrasound imaging
![](https://psychiatryai.com/wp-content/uploads/2023/04/psychiatryai_com.webp)
🌐 90 Days
AI Virtual Reality Related Evidence Matrix
Fetal neuroimaging applications for diagnosis and counseling of brain anomalies: Current practice and future diagnostic strategies The Holy Grail of obstetric ultrasound: can artificial intelligence detect hard-to-identify fetal cardiac anomalies? The Holy Grail of obstetric ultrasound: can artificial intelligence detect hard-to-identify fetal cardiac anomalies? Deep Learning and Multimodal Artificial Intelligence in Orthopaedic Surgery Fetal membrane imaging: current and future perspectives-a review BraNet: a mobil application for breast image classification based on deep learning algorithms Imaging at the nexus: how state of the art imaging techniques can enhance our understanding of cancer and fibrosis Artificial Intelligence and Deep Learning in Sensors and Applications Artificial Intelligence in Eye Movements Analysis for Alzheimer's Disease Early Diagnosis Applications of Artificial Intelligence in Prostate Cancer Care: A Path to Enhanced Efficiency and Outcomes Advancements in artificial intelligence for pelvic floor ultrasound analysis Characterizing Sentinel Lymph Node Status in Breast Cancer Patients Using a Deep-Learning Model Compared With Radiologists' Analysis of Grayscale Ultrasound and Lymphosonography UIdataGB: Multi-Class ultrasound images dataset for gallbladder disease detection From Pixels to Prognosis: Unlocking the Potential of Deep Learning in Fibrotic Lung Disease Imaging Analysis A novel artificial intelligence model for measuring fetal intracranial markers during the first trimester based on two-dimensional ultrasound image Artificial intelligence in colonoscopy: from detection to diagnosis Artificial intelligence for gastric cancer in endoscopy: From diagnostic reasoning to market Advances in Fetal Brain Imaging A domain knowledge-based interpretable deep learning system for improving clinical breast ultrasound diagnosis Artificial intelligence in coronary artery calcium score: rationale, different approaches, and outcomes Evaluating the benefits of machine learning for diagnosing deep vein thrombosis compared to gold standard ultrasound- a feasibility study The Future of Orthodontics: Deep Learning Technologies Anatomic attention regions via optimal anatomy modeling and recognition for DL-based image segmentation The use of artificial intelligence in musculoskeletal ultrasound: a systematic review of the literature Constructing personalized characterizations of structural brain aberrations in patients with dementia using explainable artificial intelligence Zogala D. Artificial intelligence in medical imaging Clinical Application of Artificial Intelligence in the Ultrasound Classification of Hepatic Cystic Echinococcosis Artificial Intelligence in Cancer Diagnosis: A Game-Changer in Healthcare Brief Review and Primer of Key Terminology for Artificial Intelligence and Machine Learning in Hypertension Deep learning in the radiologic diagnosis of osteoporosis: a literature review Trends in artificial intelligence, machine learning, and chemometrics applied to chemical data PSFHSP-Net: an efficient lightweight network for identifying pubic symphysis-fetal head standard plane from intrapartum ultrasound images Research progress of deep learning applications in mass spectrometry imaging data analysis Factor-GAN: Enhancing stock price prediction and factor investment with Generative Adversarial Networks The Impact of Artificial Intelligence on Allergy Diagnosis and Treatment Using artificial intelligence to study atherosclerosis from computed tomography imaging: A state-of-the-art review of the current literature Using artificial intelligence to study atherosclerosis from computed tomography imaging: A state-of-the-art review of the current literature Providing insights into health data science education through artificial intelligence Applications of Deep Learning in Trauma Radiology: A Narrative Review Comparison of lung ultrasound assisted by artificial intelligence to radiology examination in pneumothorax Knowledge, attitudes and practices of using Indocyanine Green (ICG) fluorescence in emergency surgery: an international web-based survey in the ARtificial Intelligence in Emergency and trauma Surgery (ARIES)-WSES project Screening for urothelial carcinoma cells in urine based on digital holographic flow cytometry through machine learning and deep learning methods Generative artificial intelligence in ophthalmology: current innovations, future applications and challenges Artificial intelligence in interventional radiology: state of the art Challenges in Reducing Bias Using Post-Processing Fairness for Breast Cancer Stage Classification with Deep Learning Deep learning for structure based drug discovery Deep learning for structure based drug discovery Deep learning for structure based drug discovery Radiomics of pituitary adenoma using computer vision: a review Deep learning methods for protein function prediction Optical coherence tomography choroidal enhancement using generative deep learning Artificial intelligence assisted diagnosis of early tc markers and its application MyoVision-US: an Artificial Intelligence-Powered Software for Automated Analysis of Skeletal Muscle Ultrasonography Artificial intelligence-based differential diagnosis of orbital MALT lymphoma and IgG4 related ophthalmic disease using hematoxylin-eosin images Speeding Up and Improving Image Quality in Glioblastoma MRI Protocol by Deep Learning Image Reconstruction Deep learning driven diagnosis of malignant soft tissue tumors based on dual-modal ultrasound images and clinical indexes Artificial intelligence for high content imaging in drug discovery Spatial and geometric learning for classification of breast tumors from multi-center ultrasound images: a hybrid learning approach Spatial and geometric learning for classification of breast tumors from multi-center ultrasound images: a hybrid learning approach Data set terminology of deep learning in medicine: a historical review and recommendation Artificial Intelligence in Laryngology, Broncho-Esophagology, and Sleep Surgery An interpretable artificial intelligence model based on CT for prognosis of intracerebral hemorrhage: a multicenter study From Diagnosis to Precision Surgery: the Transformative Role of Artificial Intelligence in Urologic Imaging From Diagnosis to Precision Surgery: the Transformative Role of Artificial Intelligence in Urologic Imaging
Evidence Blueprint
Use of artificial intelligence and deep learning in fetal ultrasound imaging
![](https://psychiatryai.com/wp-content/uploads/2023/04/psychiatryai_com.webp)
☊ AI-Driven Related Evidence Nodes
(recent articles with at least 5 words in title)
More Evidence
![](https://psychiatryai.com/wp-content/uploads/2023/04/psychiatryai_com.webp)
Use of artificial intelligence and deep learning in fetal ultrasound imaging
🌐 365 Days
AI Virtual Reality Related Evidence Matrix
Exploring the Potential of Artificial Intelligence in Breast Ultrasound Review on deep learning fetal brain segmentation from Magnetic Resonance images Fetal neuroimaging applications for diagnosis and counseling of brain anomalies: Current practice and future diagnostic strategies The Holy Grail of obstetric ultrasound: can artificial intelligence detect hard-to-identify fetal cardiac anomalies? The Holy Grail of obstetric ultrasound: can artificial intelligence detect hard-to-identify fetal cardiac anomalies? Deep Learning and Multimodal Artificial Intelligence in Orthopaedic Surgery ChatGPT-assisted deep learning model for thyroid nodule analysis: beyond artifical intelligence Simulation-based education in ultrasound - diagnostic and interventional abdominal focus Application of artificial intelligence techniques for non-alcoholic fatty liver disease diagnosis: A systematic review (2005-2023) Fetal membrane imaging: current and future perspectives-a review BraNet: a mobil application for breast image classification based on deep learning algorithms Deep learning to estimate gestational age from fly-to cineloop videos: A novel approach to ultrasound quality control Artificial intelligence and machine learning responses to COVID-19 related inquiries Imaging at the nexus: how state of the art imaging techniques can enhance our understanding of cancer and fibrosis Artificial Intelligence and Deep Learning in Sensors and Applications Artificial Intelligence in Eye Movements Analysis for Alzheimer's Disease Early Diagnosis Applications of Artificial Intelligence in Prostate Cancer Care: A Path to Enhanced Efficiency and Outcomes Advancements in artificial intelligence for pelvic floor ultrasound analysis Characterizing Sentinel Lymph Node Status in Breast Cancer Patients Using a Deep-Learning Model Compared With Radiologists' Analysis of Grayscale Ultrasound and Lymphosonography UIdataGB: Multi-Class ultrasound images dataset for gallbladder disease detection Applications of Artificial Intelligence, Machine Learning, and Deep Learning in Nutrition: A Systematic Review Study shows that the way the brain learns is different from the way that artificial intelligence systems learn From Pixels to Prognosis: Unlocking the Potential of Deep Learning in Fibrotic Lung Disease Imaging Analysis A novel artificial intelligence model for measuring fetal intracranial markers during the first trimester based on two-dimensional ultrasound image Artificial intelligence in colonoscopy: from detection to diagnosis Exploring the potential of machine learning in gynecological care: a review Artificial intelligence for gastric cancer in endoscopy: From diagnostic reasoning to market Advances in Fetal Brain Imaging A domain knowledge-based interpretable deep learning system for improving clinical breast ultrasound diagnosis Application of deep learning in radiation therapy for cancer A comprehensive review for artificial intelligence on neuroimaging in rehabilitation of ischemic stroke Artificial intelligence in coronary artery calcium score: rationale, different approaches, and outcomes Evaluating the benefits of machine learning for diagnosing deep vein thrombosis compared to gold standard ultrasound- a feasibility study DEEP-squared: deep learning powered De-scattering with Excitation Patterning The Future of Orthodontics: Deep Learning Technologies Anatomic attention regions via optimal anatomy modeling and recognition for DL-based image segmentation The use of artificial intelligence in musculoskeletal ultrasound: a systematic review of the literature Constructing personalized characterizations of structural brain aberrations in patients with dementia using explainable artificial intelligence US2Mask: Image-to-mask generation learning via a conditional GAN for cardiac ultrasound image segmentation Zogala D. Artificial intelligence in medical imaging Trends in cardiology and oncology artificial intelligence publications Clinical Application of Artificial Intelligence in the Ultrasound Classification of Hepatic Cystic Echinococcosis Artificial Intelligence in Cancer Diagnosis: A Game-Changer in Healthcare Brief Review and Primer of Key Terminology for Artificial Intelligence and Machine Learning in Hypertension Deep learning in the radiologic diagnosis of osteoporosis: a literature review Trends in artificial intelligence, machine learning, and chemometrics applied to chemical data PSFHSP-Net: an efficient lightweight network for identifying pubic symphysis-fetal head standard plane from intrapartum ultrasound images How Artificial Intelligence Unravels the Complex Web of Cancer Drug Response Artificial intelligence for ultrasound microflow imaging in breast cancer diagnosis Research progress of deep learning applications in mass spectrometry imaging data analysis Factor-GAN: Enhancing stock price prediction and factor investment with Generative Adversarial Networks The Impact of Artificial Intelligence on Allergy Diagnosis and Treatment Using artificial intelligence to study atherosclerosis from computed tomography imaging: A state-of-the-art review of the current literature Using artificial intelligence to study atherosclerosis from computed tomography imaging: A state-of-the-art review of the current literature Providing insights into health data science education through artificial intelligence Magnetic resonance enterography and intestinal ultrasound for the assessment and monitoring of Crohn's disease Use and performance of artificial intelligence applications in the diagnosis of chronic apical periodontitis based on cone beam computed tomography imaging Ultrasound-Induced Cascade Amplification in a Mechanoluminescent Nanotransducer for Enhanced Sono-Optogenetic Deep Brain Stimulation Applications of Deep Learning in Trauma Radiology: A Narrative Review Comparison of lung ultrasound assisted by artificial intelligence to radiology examination in pneumothorax Deep learning analysis of mid-infrared microscopic imaging data for the diagnosis and classification of human lymphomas Knowledge, attitudes and practices of using Indocyanine Green (ICG) fluorescence in emergency surgery: an international web-based survey in the ARtificial Intelligence in Emergency and trauma Surgery (ARIES)-WSES project Screening for urothelial carcinoma cells in urine based on digital holographic flow cytometry through machine learning and deep learning methods Generative artificial intelligence in ophthalmology: current innovations, future applications and challenges