Artificial Intelligence (AI) is a broad discipline of computer science and engineering. Modern
application of AI encompasses intelligent models and algorithms for automated data …

Artificial intelligence (AI) refers to the use of computational techniques to mimic human
thought processes and learning capacity. The past decade has seen a rapid proliferation of …

In this study, we propose a fast and accurate method to automatically localize anatomical
landmarks in medical images. We employ a global-to-local localization approach using fully …

In daily clinical practice, clinicians integrate available data to ascertain the diagnostic and
prognostic probability of a disease or clinical outcome for their patients. For patients with …

医学影像人工智能技术的研究与进展, 将极大促进现代心脏瓣膜病介入诊疗的进步. 超声心动图,
心脏磁共振, CT 与心血管造影等成像技术, 在心脏瓣膜病介入治疗术前患者精准筛选 …

Utilizing the idea of long-term cumulative return, reinforcement learning (RL) has shown
remarkable performance in various fields. We follow the formulation of landmark localization …

With innovations in therapeutic technologies and changes in population demographics,
transcatheter interventions for structural heart disease have become the preferred treatment …

Artificial intelligence in cardiovascular imaging: enhancing image analysis and risk stratification
Page 1 BJR|Open © 2023 The Authors. Published by the British Institute of Radiology. This is …

Automatic hippocampal volume measurement from brain magnetic resonance imaging
(MRI) is a crucial task and an important research area, especially in the study of …

Anatomic landmark detection is crucial during preoperative planning of transcatheter aortic
valve implantation (TAVI) to select the proper device size and assess the risk of …