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medical imaging

GeneTech 知识引擎共收录 90 篇相关科研实体，横跨 13 个垂直领域。数据来自 OpenAlex、arXiv、Crossref、PubMed、Europe PMC 等公开学术源，全部可溯源到原文。

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代表性文献（按质量分排序，前 60 条）

• Artificial intelligence and multimodal imaging in orthopaedics: from technological advances to clinical translation
  2026 · 医疗人工智能 · The integration of multimodal medical imaging with artificial intelligence (AI) is potentially catalysing a paradigm shift in orthopaedic diagnosis and treatment, moving beyond experience-based practices toward intellige…
• A Primary Chest X-ray Dataset of Normal Bangladesh
  2026 · 医疗人工智能 · 📌 Steps to Reproduce This dataset contains a collection of primary chest X-ray images acquired from Epic Chittagong, Bangladesh. The dataset is designed for the study and development of deep learning and machine learnin…
• A Primary Chest X-ray Dataset of Normal Bangladesh
  2026 · 医疗人工智能 · 📌 Steps to Reproduce This dataset contains a collection of primary chest X-ray images acquired from Epic Chittagong, Bangladesh. The dataset is designed for the study and development of deep learning and machine learnin…
• The effect of medical explanations from large language models on diagnostic accuracy in radiology
  2026 · 医疗人工智能 · Large language models (LLMs) are increasingly used by physicians for diagnostic support. A key advantage of LLMs is the ability to generate explanations that can help physicians understand the reasoning behind a diagnosi…
• Underrepresentation of children in public medical imaging datasets
  2026 · 医疗人工智能 · Abstract Artificial intelligence (AI) has the potential to transform healthcare for all patients. Yet, there are disproportionately fewer paediatric AI studies and US Food and Drug Administration approvals relative to ad…
• A Web-Based Framework for Brain Hemorrhage Detection from CT Scans Using Deep Learning
  2026 · 脑科学 · This paper presents a deep learning-based web framework for automated detection of brain hemorrhage from CT scan images. Brain hemorrhage is a critical medical condition that requires early and accurate diagnosis to redu…
• A Web-Based Framework for Brain Hemorrhage Detection from CT Scans Using Deep Learning
  2026 · 脑科学 · This paper presents a deep learning-based web framework for automated detection of brain hemorrhage from CT scan images. Brain hemorrhage is a critical medical condition that requires early and accurate diagnosis to redu…
• Optical digital twins for disease prevention, diagnosis, therapy, and intervention.
  2026 · 数字孪生 · Significance: Digital twins are transitioning from conceptual models to operational frameworks that link measurement, prediction, and intervention in biomedicine. However, most biomedical digital twin efforts remain frag…
• A comprehensive review of quantum technologies for medical imaging
  2026 · 量子材料 · Medical imaging, a cornerstone of modern diagnostics that underpins early disease detection and personalized therapy, continues to confront fundamental physical limitations inherent to conventional modalities, including …
• Artificial intelligence in medical imaging empowers precision neoadjuvant immunochemotherapy in esophageal squamous cell carcinoma
  2025 · 医疗人工智能 · Neoadjuvant immunochemotherapy (nICT) has demonstrated significant potential in improving pathological response rates and survival outcomes for patients with locally advanced esophageal squamous cell carcinoma (ESCC). Ho…
• Efficiency of Artificial Intelligence in Three-Dimensional Reconstruction of Medical Imaging
  2025 · 医疗人工智能 · Three-dimensional (3D) reconstruction is necessary for visualizing complex anatomy and supporting clinical decision-making in radiology. However, traditional techniques often struggle with limitations in scalability, spe…
• Artificial Intelligence-Empowered Radiology—Current Status and Critical Review
  2025 · 医疗人工智能 · Humanity stands at a pivotal moment of technological revolution, with artificial intelligence (AI) reshaping fields traditionally reliant on human cognitive abilities. This transition, driven by advancements in artificia…
• Multimodal Large Language Models in Medical Imaging: Current State and Future Directions
  2025 · 医疗人工智能 · Multimodal large language models (MLLMs) are emerging as powerful tools in medicine, particularly in radiology, with the potential to serve as trusted artificial intelligence (AI) partners for clinicians. In radiology, t…
• Physical foundations for trustworthy medical imaging: A survey for artificial intelligence researchers
  2025 · 医疗人工智能 · Artificial intelligence in medical imaging has grown rapidly in the past decade, driven by advances in deep learning and widespread access to computing resources. Applications cover diverse imaging modalities, including …
• Artificial intelligence in imaging diagnosis of liver tumors: current status and future prospects
  2025 · 医疗人工智能 · Liver cancer remains a significant global health concern, ranking as the sixth most common malignancy and the third leading cause of cancer-related deaths worldwide. Medical imaging plays a vital role in managing liver t…
• Next-Generation Advances in Prostate Cancer Imaging and Artificial Intelligence Applications
  2025 · 医疗人工智能 · Prostate cancer is one of the leading causes of cancer-related morbidity and mortality worldwide, and imaging plays a critical role in its detection, localization, staging, treatment, and management. The advent of artifi…
• Reinforcement Learning in Medical Imaging: Taxonomy, LLMs, and Clinical Challenges
  2025 · 医疗人工智能 · Reinforcement learning (RL) is being used more in medical imaging for segmentation, detection, registration, and classification. This survey provides a comprehensive overview of RL techniques applied in this domain, cate…
• Current progress of digital twin construction using medical imaging
  2025 · 数字孪生 · Medical imaging is fundamental to digital twin technology, enabling patient-specific virtual models of anatomy and physiology. By integrating high-resolution modalities (Magnetic Resonance Imaging (MRI), Computed Tomogra…
• Implementing federated learning with privacy-preserving encryption to secure patient-derived imaging and sequencing data from cyber intrusions
  2025 · 隐私计算与数据要素 · The growing adoption of artificial intelligence (AI) and data-driven analytics in healthcare has accelerated the integration of large-scale patient-derived imaging and genomic sequencing data into clinical workflows. How…
• Implementing federated learning with privacy-preserving encryption to secure patient-derived imaging and sequencing data from cyber intrusions
  2025 · 隐私计算与数据要素 · The growing adoption of artificial intelligence (AI) and data-driven analytics in healthcare has accelerated the integration of large-scale patient-derived imaging and genomic sequencing data into clinical workflows. How…
• acusim: a synthetic dataset for cervicocranial acupuncture points localisation
  2025 · 中医药工具 · The locations of acupuncture points (acupoints) differ among human individuals due to variations in factors such as height, weight, and fat proportions. However, acupoint annotation is expert-dependent, labour-intensive,…
• Evaluating Explainable Artificial Intelligence (XAI) techniques in chest radiology imaging through a human-centered Lens
  2024 · AI 安全与对齐 · The field of radiology imaging has experienced a remarkable increase in using of deep learning (DL) algorithms to support diagnostic and treatment decisions. This rise has led to the development of Explainable AI (XAI) s…
• Perspective on the applications of terahertz imaging in skin cancer diagnosis
  2024 · 生物计算 · Applications of terahertz (THz) imaging technologies have advanced significantly in the disciplines of biology, medical diagnostics, and non- destructive testing in the past several decades. Significant progress has been…
• The limits of fair medical imaging AI in real-world generalization
  2024 · 医疗人工智能 · As artificial intelligence (AI) rapidly approaches human-level performance in medical imaging, it is crucial that it does not exacerbate or propagate healthcare disparities. Previous research established AI's capacity to…
• Explainable Artificial Intelligence in Medical Imaging: A Case Study on Enhancing Lung Cancer Detection through CT Images
  2024 · 医疗人工智能 · This study tackles the pressing challenge of lung cancer detection, the foremost cause of cancer-related mortality worldwide, hindered by late detection and diagnostic limitations. Aiming to improve early detection rates…
• Deep Learning in Breast Cancer Imaging: State of the Art and Recent Advancements in Early 2024
  2024 · 仿生智能 · The rapid advancement of artificial intelligence (AI) has significantly impacted various aspects of healthcare, particularly in the medical imaging field. This review focuses on recent developments in the application of …
• Design, construction and validation of a magnetic particle imaging (MPI) system for human brain imaging
  2024 · 仿生智能 · Abstract Objective. Magnetic particle imaging (MPI) was introduced in 2005 as a promising, tracer-based medical imaging modality with the potential for high sensitivity and spatial resolution. Since then, numerous precli…
• Advanced AI-driven approach for enhanced brain tumor detection from MRI images utilizing EfficientNetB2 with equalization and homomorphic filtering
  2024 · 仿生智能 · Brain tumors pose a significant medical challenge necessitating precise detection and diagnosis, especially in Magnetic resonance imaging(MRI). Current methodologies reliant on traditional image processing and convention…
• Edge Computing for AI-Based Brain MRI Applications: A Critical Evaluation of Real-Time Classification and Segmentation
  2024 · 仿生智能 · Medical imaging plays a pivotal role in diagnostic medicine with technologies like Magnetic Resonance Imagining (MRI), Computed Tomography (CT), Positron Emission Tomography (PET), and ultrasound scans being widely used …
• AI for Medical Image Processing
  2023 · AI 安全与对齐 · With the introduction of convolutional neural networks, radiological image acquisition could shift from physics-based image reconstruction and image optimization algorithms to neural network–based ones. This is poised to…
• Towards Generalist Biomedical AI
  2023 · AI 安全与对齐 · Medicine is inherently multimodal, with rich data modalities spanning text, imaging, genomics, and more. Generalist biomedical artificial intelligence (AI) systems that flexibly encode, integrate, and interpret this data…
• CLIP in Medical Imaging: A Survey
  2023 · 医疗人工智能 · Contrastive Language-Image Pre-training (CLIP), a simple yet effective pre-training paradigm, successfully introduces text supervision to vision models. It has shown promising results across various tasks due to its gene…
• Radiologists’ and Radiographers’ Perspectives on Artificial Intelligence in Medical Imaging in Saudi Arabia
  2023 · 医疗人工智能 · INTRODUCTION: Artificial intelligence (AI) in medical imaging rapidly expands regarding image processing and interpretation. Therefore, the aim was to explore radiographers’ and radiologists’ perceptions and attitudes to…
• Explainable AI in medical imaging: An overview for clinical practitioners – Beyond saliency-based XAI approaches
  2023 · 医疗人工智能 · Driven by recent advances in Artificial Intelligence (AI) and Computer Vision (CV), the implementation of AI systems in the medical domain increased correspondingly. This is especially true for the domain of medical imag…
• Computational Science Role in Medical and Healthcare‐Related Approach
  2023 · 医疗人工智能 · Medical imaging, human genome research, clinical diagnosis, and medical data management are all areas where computer technology plays a critical role in modern medicine, healthcare, and life sciences. Computer science so…
• Artificial Intelligence in CT and MR Imaging for Oncological Applications
  2023 · 医疗人工智能 · Cancer care increasingly relies on imaging for patient management. The two most common cross-sectional imaging modalities in oncology are computed tomography (CT) and magnetic resonance imaging (MRI), which provide high-…
• Data Pipeline for Multimodal Breast Imaging Analysis
  2026 · AI Agent 生态 · The data-pipeline repository provides a software pipeline for multimodal breast imaging analysis, including anonymization, metadata extraction, processing, and BIRADS-based analytical workflows across MammoGraphy (MG), U…
• Multimodal Deep Learning For Pulmonary Disease Classification: A Deployment-Oriented Framework For Healthcare And Social Good
  2026 · 医疗人工智能 · Globally, pulmonary diseases are a major health burden, especially in settings where resources are constrained and access to specialized radiological expertise is limited. Most chest radiograph-based deep learning models…
• Multimodal Deep Learning For Pulmonary Disease Classification: A Deployment-Oriented Framework For Healthcare And Social Good
  2026 · 医疗人工智能 · Globally, pulmonary diseases are a major health burden, especially in settings where resources are constrained and access to specialized radiological expertise is limited. Most chest radiograph-based deep learning models…
• Causal generative modeling in 3D neuroimaging of healthy aging and disease
  2026 · 脑科学 · In recent years, deep learning methods have demonstrated remarkable performance in medical image analysis. However, most existing approaches remain fundamentally correlation-based, making them vul-nerable to shortcut lea…
• Artificial intelligence for medical imaging: U-Net technology for anatomical feature analysis
  2025 · 医疗人工智能 · The successful utilization of artificial intelligence (AI) systems in medical and healthcare systems has substantially advanced research and publication in scientific journals. This field encompasses a wide range of stud…
• The Role of Artificial Intelligence in Improving Diagnostic Accuracy in Medical Imaging: A Review
  2025 · 医疗人工智能 · This review comprehensively analyzes advancements in artificial intelligence, particularly machine learning and deep learning, in medical imaging, focusing on their transformative role in enhancing diagnostic accuracy. O…
• A holistic overview of deep learning approach in medical imaging
  2022 · 医疗人工智能 · Medical images are a rich source of invaluable necessary information used by clinicians. Recent technologies have introduced many advancements for exploiting the most of this information and use it to generate better ana…
• Deep Learning for Smart Healthcare—A Survey on Brain Tumor Detection from Medical Imaging
  2022 · 医疗人工智能 · Advances in technology have been able to affect all aspects of human life. For example, the use of technology in medicine has made significant contributions to human society. In this article, we focus on technology assis…
• A survey on computational spectral reconstruction methods from RGB to hyperspectral imaging
  2022 · 医疗人工智能 · Hyperspectral imaging enables many versatile applications for its competence in capturing abundant spatial and spectral information, which is crucial for identifying substances. However, the devices for acquiring hypersp…
• Application of medical imaging methods and artificial intelligence in tissue engineering and organ-on-a-chip
  2022 · 医疗人工智能 · Organ-on-a-chip (OOC) is a new type of biochip technology. Various types of OOC systems have been developed rapidly in the past decade and found important applications in drug screening and precision medicine. However, d…
• Artificial Intelligence in Diagnostic Radiology: Where Do We Stand, Challenges, and Opportunities
  2022 · 医疗人工智能 · ABSTRACT: Artificial intelligence (AI) is the most revolutionizing development in the health care industry in the current decade, with diagnostic imaging having the greatest share in such development. Machine learning an…
• Canadian Medical Imaging Inventory, 2019–2020
  2021 · 医疗人工智能 · Context and Policy Issues The purpose of the CMII is to document current practices and developments in the supply, distribution, technical operations, and general clinical use of advanced imaging equipment across Canada.…
• Advances of Artificial Intelligence Application in Medical Imaging of Ovarian Cancers
  2021 · 医疗人工智能 · Ovarian cancer is one of the three most common gynecological cancers in the world, and is regarded as a priority in terms of women's cancer. In the past few years, many researchers have attempted to develop and apply art…
• Applications of artificial intelligence in nuclear medicine image generation
  2021 · 边缘智能 · Recently, the application of artificial intelligence (AI) in medical imaging (including nuclear medicine imaging) has rapidly developed. Most AI applications in nuclear medicine imaging have focused on the diagnosis, tre…
• Artificial intelligence in medical imaging
  2024 · 医疗人工智能 · With the rapid development of science and technology, the application of artificial intelligence (AI) in various fields is constantly expanding, especially in the field of medical imaging [1]. AI technology is suitable t…
• Artificial Intelligence in Medical Imaging: Applications of Deep Learning for Disease Detection and Diagnosis
  2024 · 医疗人工智能 · The integration of artificial intelligence (AI) and deep learning techniques into medical imaging has revolutionized disease detection and diagnosis. This paper provides a comprehensive overview of the applications of de…
• Application and Development of Artificial Intelligence-based Medical Imaging Diagnostic Assistance System
  2024 · 医疗人工智能 · Medical imaging technology plays a key role in modern medical diagnosis and treatment, and the integration of artificial intelligence (AI) technology has revolutionised the field.AI uses deep learning and machine learnin…
• Evolving and Novel Applications of Artificial Intelligence in Thoracic Imaging
  2024 · 医疗人工智能 · The advent of artificial intelligence (AI) is revolutionizing medicine, particularly radiology. With the development of newer models, AI applications are demonstrating improved performance and versatile utility in the cl…
• Canadian Medical Imaging Inventory 2022–2023: MRI
  2024 · 医疗人工智能 · MRI is a noninvasive imaging modality that uses powerful electromagnetic and radiofrequency fields to produce cross-sectional images of the body. MRI is primarily used for neurologic exams (28%), followed by musculoskele…
• The Neural Frontier of Future Medical Imaging: A Review of Deep Learning for Brain Tumor Detection
  2024 · 仿生智能 · Brain tumor detection is crucial in medical research due to high mortality rates and treatment challenges. Early and accurate diagnosis is vital for improving patient outcomes, however, traditional methods, such as manua…
• High-Resolution Stereoscopic Visualization of Pediatric Echocardiography Data on Microsoft HoloLens 2
  2024 · 空间计算 · Pediatric valve surgery typically requires cardiopulmonary bypass and cardioplegic arrest, which can have adverse effects on both post-operative recovery and long-term neurological function. However, non-bypass surgical …
• Artificial Intelligence In Field of Medical Imaging Informatics
  2023 · 医疗人工智能 · This paper reviews about application of artificial intelligence in medical image informatics. Additionally, it may enhance therapeutic results and increase the value of medical image analysis in yet-to-be-determined ways…
• AI in Healthcare: Transformative Innovations, Trends, and Ethical Considerations (2014 - 2023)
  2023 · 医疗人工智能 · This note synthesises key developments in the use of artificial intelligence (AI) in healthcare over the 2014–2023 period, with emphasis on clinical applications and governance constraints. It reviews advances in machine…
• AI in Healthcare: Transformative Innovations, Trends, and Ethical Considerations (2014 - 2023)
  2023 · 医疗人工智能 · This note synthesises key developments in the use of artificial intelligence (AI) in healthcare over the 2014–2023 period, with emphasis on clinical applications and governance constraints. It reviews advances in machine…

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