About this Research Topic
Medical imaging plays a pivotal role in the surgical intervention and evaluation of bone and joint diseases, employing commonly used modalities such as X-ray, CT scans, MRI, and ultrasound. High-quality medical images are crucial for the accurate detection and localization of lesions, surgical planning, and prognosis assessment, thereby enhancing the efficiency of diagnosis and treatment in clinical orthopedics. Recent technological advancements have given rise to innovative imaging techniques like three-dimensional (3D) ultrasound, which enables real-time, radiation-free reconstruction of musculoskeletal anatomy, and diffusion tensor imaging (DTI), which offers clearer visualization of nerve lesions, significantly aiding in the diagnosis and management of complex neurological conditions.
Furthermore, the evolution of artificial intelligence (AI) technology presents new opportunities for enhancing traditional imaging methods. Researchers are actively exploring the use of AI in automated segmentation, diagnosis, and image registration, which can streamline surgical planning and enable predictive modeling. The integration of AI with medical imaging holds promises for more precise, efficient, and personalized patient care, potentially transforming clinical practices in orthopedics and marking a significant step forward in the field.
While new technologies in medical imaging hold significant promise in orthopedics, research and practice in this field are still in their early stages. This research topic aims to gather cutting-edge studies on medical imaging to drive clinical advancements. We focus on utilizing new imaging technologies to enhance orthopedic surgical treatments and employing AI techniques to improve the processing and application efficiency of medical images. We welcome high-quality submissions from clinical physicians and researchers, including original research and review articles. By compiling these studies, we hope to accelerate the integration of advanced imaging technologies and AI in clinical orthopedics, ultimately improving surgical efficacy and patient outcomes.
● Clinical applications of novel imaging technologies in orthopedics.
● Image processing and quantitative/qualitative assessment methods for medical images.
● Diagnosis, surgical planning, prognosis prediction, and other applications based on medical imaging, with a particular emphasis on utilizing artificial intelligence.
● Intraoperative value of medical imaging.
Furthermore, the evolution of artificial intelligence (AI) technology presents new opportunities for enhancing traditional imaging methods. Researchers are actively exploring the use of AI in automated segmentation, diagnosis, and image registration, which can streamline surgical planning and enable predictive modeling. The integration of AI with medical imaging holds promises for more precise, efficient, and personalized patient care, potentially transforming clinical practices in orthopedics and marking a significant step forward in the field.
While new technologies in medical imaging hold significant promise in orthopedics, research and practice in this field are still in their early stages. This research topic aims to gather cutting-edge studies on medical imaging to drive clinical advancements. We focus on utilizing new imaging technologies to enhance orthopedic surgical treatments and employing AI techniques to improve the processing and application efficiency of medical images. We welcome high-quality submissions from clinical physicians and researchers, including original research and review articles. By compiling these studies, we hope to accelerate the integration of advanced imaging technologies and AI in clinical orthopedics, ultimately improving surgical efficacy and patient outcomes.
● Clinical applications of novel imaging technologies in orthopedics.
● Image processing and quantitative/qualitative assessment methods for medical images.
● Diagnosis, surgical planning, prognosis prediction, and other applications based on medical imaging, with a particular emphasis on utilizing artificial intelligence.
● Intraoperative value of medical imaging.
Keywords: Orthopedic Imaging, 3D Ultrasound, Tensor Imaging, AI Imaging, Intraoperative Imaging
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
