[Retracted] Discovering Knee Osteoarthritis Imaging Features for Diagnosis and Prognosis: Review of Manual Imaging Grading and Machine Learning Approaches

YX Teoh, KW Lai, J Usman, SL Goh… - Journal of healthcare …, 2022 - Wiley Online Library
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 …

[HTML][HTML] A survey of multimodal information fusion for smart healthcare: Mapping the journey from data to wisdom

T Shaik, X Tao, L Li, H Xie, JD Velásquez - Information Fusion, 2023 - Elsevier
Multimodal medical data fusion has emerged as a transformative approach in smart
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 …

[HTML][HTML] Novel biomarkers of atherosclerotic vascular disease—Latest insights in the research field

CA Adam, DL Șalaru, C Prisacariu, DTM Marcu… - International journal of …, 2022 - mdpi.com
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 …

Bottom-up and top-down paradigms of artificial intelligence research approaches to healthcare data science using growing real-world big data

M Wang, M Sushil, BY Miao… - Journal of the American …, 2023 - academic.oup.com
Objectives As the real-world electronic health record (EHR) data continue to grow
exponentially, novel methodologies involving artificial intelligence (AI) are becoming …

[HTML][HTML] Applications of artificial intelligence for patients with peripheral artery disease

F Lareyre, CA Behrendt, A Chaudhuri, R Lee… - Journal of vascular …, 2023 - Elsevier
Objective Applications of artificial intelligence (AI) have been reported in several
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

I Ghanzouri, S Amal, V Ho, L Safarnejad, J Cabot… - Scientific Reports, 2022 - nature.com
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 …

[PDF][PDF] Medical data clustering and classification using TLBO and machine learning algorithms

A Dubey, U Gupta, S Jain - Computers, Materials and Continua, 2021 - cdn.techscience.cn
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 …

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 …

[HTML][HTML] A bibliometric analysis of technology in sustainable healthcare: Emerging trends and future directions

IK Nti, AF Adekoya, BA Weyori, F Keyeremeh - Decision Analytics Journal, 2023 - Elsevier
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 …