Artificial intelligence in clinical and genomic diagnostics

R Dias, A Torkamani - Genome medicine, 2019 - Springer
Artificial intelligence (AI) is the development of computer systems that are able to perform
tasks that normally require human intelligence. Advances in AI software and hardware …

Advancing patient care: how artificial intelligence is transforming healthcare

DG Poalelungi, CL Musat, A Fulga, M Neagu… - Journal of personalized …, 2023 - mdpi.com
Artificial Intelligence (AI) has emerged as a transformative technology with immense
potential in the field of medicine. By leveraging machine learning and deep learning, AI can …

An evaluation of the critical success factors impacting artificial intelligence implementation

MI Merhi - International Journal of Information Management, 2023 - Elsevier
AI systems offer organizations great benefits causing decision-makers to invest more in
these systems. The advantages of AI cannot be achieved without successful implementation …

[PDF][PDF] Echonet-dynamic: a large new cardiac motion video data resource for medical machine learning

D Ouyang, B He, A Ghorbani, MP Lungren… - NeurIPS ML4H …, 2019 - echonet.github.io
Abstract Machine learning analysis of biomedical images has seen significant recent
advances. In contrast, there has been much less work on medical videos, despite the fact …

Multi-level multi-type self-generated knowledge fusion for cardiac ultrasound segmentation

C Yu, S Li, D Ghista, Z Gao, H Zhang, J Del Ser, L Xu - Information Fusion, 2023 - Elsevier
Most existing works on cardiac echocardiography segmentation require a large number of
ground-truth labels to appropriately train a neural network; this, however, is time consuming …

Artificial intelligence in echocardiography for anesthesiologists

X Chen, CA Owen, EC Huang, BD Maggard… - … of Cardiothoracic and …, 2021 - Elsevier
Echocardiography is a unique diagnostic tool for intraoperative monitoring and assessment
of patients with cardiovascular diseases. However, there are high levels of interoperator …

AI-based natural language processing for the generation of meaningful information electronic health record (EHR) data

KS Kaswan, L Gaur, JS Dhatterwal… - Advanced AI techniques …, 2021 - taylorfrancis.com
Big real data are being created by the widespread introduction of electronic health record
systems in healthcare, which create new spaces for clinical study. Since a great deal of …

The incremental role of multiorgan point-of-care ultrasounds in the emergency setting

A D'Andrea, C Del Giudice, D Fabiani… - International journal of …, 2023 - mdpi.com
Point-of-care ultrasonography (POCUS) represents a goal-directed ultrasound examination
performed by clinicians directly involved in patient healthcare. POCUS has been widely …

ETAB: a benchmark suite for visual representation learning in echocardiography

AM Alaa, A Philippakis… - Advances in Neural …, 2022 - proceedings.neurips.cc
Echocardiography is one of the most commonly used diagnostic imaging modalities in
cardiology. Application of deep learning models to echocardiograms can enable automated …

Design and implementation of virtual reality interactive product software based on artificial intelligence deep learning algorithm

Y Wang, J Sun - Advances in Multimedia, 2022 - Wiley Online Library
The aim of this study is to improve the interactive needs of artificial intelligence in the virtual
reality environment. Based on the in‐depth study of the interactive needs of virtual reality, a …