[Retracted] Discovering Knee Osteoarthritis Imaging Features for Diagnosis and Prognosis: Review of Manual Imaging Grading and Machine Learning Approaches
Knee osteoarthritis (OA) is a deliberating joint disorder characterized by cartilage loss that
can be captured by imaging modalities and translated into imaging features. Observing …
can be captured by imaging modalities and translated into imaging features. Observing …
[HTML][HTML] A survey of multimodal information fusion for smart healthcare: Mapping the journey from data to wisdom
Multimodal medical data fusion has emerged as a transformative approach in smart
healthcare, enabling a comprehensive understanding of patient health and personalized …
healthcare, enabling a comprehensive understanding of patient health and personalized …
Potential applications of artificial intelligence and machine learning on diagnosis, treatment, and outcome prediction to address health care disparities of chronic limb …
AB Bagheri, MD Rouzi, NA Koohbanani… - Seminars in Vascular …, 2023 - Elsevier
Chronic limb-threatening ischemia (CLTI) is the most advanced form of peripheral artery
disease. CLTI has an extremely poor prognosis and is associated with considerable risk of …
disease. CLTI has an extremely poor prognosis and is associated with considerable risk of …
[HTML][HTML] Novel biomarkers of atherosclerotic vascular disease—Latest insights in the research field
The atherosclerotic vascular disease is a cardiovascular continuum in which the main role is
attributed to atherosclerosis, from its appearance to its associated complications. The …
attributed to atherosclerosis, from its appearance to its associated complications. The …
Bottom-up and top-down paradigms of artificial intelligence research approaches to healthcare data science using growing real-world big data
Objectives As the real-world electronic health record (EHR) data continue to grow
exponentially, novel methodologies involving artificial intelligence (AI) are becoming …
exponentially, novel methodologies involving artificial intelligence (AI) are becoming …
[HTML][HTML] Applications of artificial intelligence for patients with peripheral artery disease
Objective Applications of artificial intelligence (AI) have been reported in several
cardiovascular diseases but its interest in patients with peripheral artery disease (PAD) has …
cardiovascular diseases but its interest in patients with peripheral artery disease (PAD) has …
[HTML][HTML] Performance and usability testing of an automated tool for detection of peripheral artery disease using electronic health records
Peripheral artery disease (PAD) is a common cardiovascular disorder that is frequently
underdiagnosed, which can lead to poorer outcomes due to lower rates of medical …
underdiagnosed, which can lead to poorer outcomes due to lower rates of medical …
[PDF][PDF] Medical data clustering and classification using TLBO and machine learning algorithms
This study aims to empirically analyze teaching-learning-based optimization (TLBO) and
machine learning algorithms using k-means and fuzzy c-means (FCM) algorithms for their …
machine learning algorithms using k-means and fuzzy c-means (FCM) algorithms for their …
The Stanford Medicine data science ecosystem for clinical and translational research
A Callahan, E Ashley, S Datta, P Desai, TA Ferris… - JAMIA …, 2023 - academic.oup.com
Objective To describe the infrastructure, tools, and services developed at Stanford Medicine
to maintain its data science ecosystem and research patient data repository for clinical and …
to maintain its data science ecosystem and research patient data repository for clinical and …
[HTML][HTML] A bibliometric analysis of technology in sustainable healthcare: Emerging trends and future directions
Technology application in healthcare is a recent field devoted to sustainability in the
healthcare industry. However, research in this sector has grown at a rapid pace. While this …
healthcare industry. However, research in this sector has grown at a rapid pace. While this …