Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease

M Van Smeden, G Heinze, B Van Calster… - European heart …, 2022 - academic.oup.com
The medical field has seen a rapid increase in the development of artificial intelligence (AI)-
based prediction models. With the introduction of such AI-based prediction model tools and …

Hemodynamic modeling, medical imaging, and machine learning and their applications to cardiovascular interventions

M Kadem, L Garber, M Abdelkhalek… - IEEE Reviews in …, 2022 - ieeexplore.ieee.org
Cardiovascular disease is a deadly global health crisis that carries a substantial financial
burden. Innovative treatment and management of cardiovascular disease straddles …

Artificial intelligence in cardiovascular medicine: current insights and future prospects

IU Haq, K Chhatwal, K Sanaka, B Xu - Vascular health and risk …, 2022 - Taylor & Francis
Cardiovascular disease (CVD) represents a significant and increasing burden on healthcare
systems. Artificial intelligence (AI) is a rapidly evolving transdisciplinary field employing …

Artificial intelligence, computational simulations, and extended reality in cardiovascular interventions

S Samant, JJ Bakhos, W Wu, S Zhao… - Cardiovascular …, 2023 - jacc.org
Artificial intelligence, computational simulations, and extended reality, among other 21st
century computational technologies, are changing the health care system. To collectively …

Safety of same‐day discharge after uncomplicated, minimalist transcatheter aortic valve replacement in the COVID‐19 era

E Perdoncin, AB Greenbaum, KJ Grubb… - Catheterization and …, 2021 - Wiley Online Library
Objectives We sought to evaluate the safety, efficacy and feasibility of same‐day discharge
after uncomplicated, minimalist TAVR. Background At the start of the COVID‐19 pandemic …

The emerging and important role of artificial intelligence in cardiac surgery

R Nedadur, N Bhatt, T Lui, MWA Chu… - Canadian Journal of …, 2024 - Elsevier
Artificial Intelligence (AI) has greatly affected our everyday lives and holds great promise to
change the landscape of medicine. AI is particularly positioned to improve care for the …

[PDF][PDF] 医学影像人工智能在心脏瓣膜疾病介入诊疗中的应用

谢明星 - 临床心血管病杂志, 2022 - lcxxgen.whuhzzs.com
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 …

Enhanced detection of severe aortic stenosis via artificial intelligence: a clinical cohort study

G Strange, S Stewart, A Watts, D Playford - Open Heart, 2023 - openheart.bmj.com
Objective We developed an artificial intelligence decision support algorithm (AI-DSA) that
uses routine echocardiographic measurements to identify severe aortic stenosis (AS) …

Machine learning for predicting pathological complete response in patients with locally advanced rectal cancer after neoadjuvant chemoradiotherapy

CM Huang, MY Huang, CW Huang, HL Tsai, WC Su… - Scientific reports, 2020 - nature.com
For patients with locally advanced rectal cancer (LARC), achieving a pathological complete
response (pCR) after neoadjuvant chemoradiotherapy (CRT) provides them with the optimal …

Artificial intelligence in transcatheter aortic valve replacement: its current role and ongoing challenges

MM Benjamin, MG Rabbat - Diagnostics, 2024 - mdpi.com
Transcatheter aortic valve replacement (TAVR) has emerged as a viable alternative to
surgical aortic valve replacement, as accumulating clinical evidence has demonstrated its …