Empowering healthcare with IoMT: Evolution, machine learning integration, security, and interoperability challenges

GR Pradyumna, RB Hegde, KB Bommegowda… - IEEE …, 2024 - ieeexplore.ieee.org
The Internet of Medical Things (IoMT) is the subset of the Internet of Things (IoT) that
connects multiple medical devices, collect information/data from devices, and transmits and …

Evaluating Retinal Disease Diagnosis with an Interpretable Lightweight CNN Model Resistant to Adversarial Attacks

M Bhandari, TB Shahi, A Neupane - Journal of Imaging, 2023 - mdpi.com
Optical Coherence Tomography (OCT) is an imperative symptomatic tool empowering the
diagnosis of retinal diseases and anomalies. The manual decision towards those anomalies …

Machine Learning-Powered Fraud Detection & Prevention: A Comprehensive Implementation

B Kumar, SK Gupta, M Patnaik - 2024 2nd International …, 2024 - ieeexplore.ieee.org
Fraud detection as well as prevention represent paramount challenges in today's digital
scenario, where the threat landscape continually evolves. This research study focuses on …

Revolutionizing House Price Prediction: Harnessing the Power of Data Science and Augmented Reality

B Kumar, M Kumari, P Banerjee… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Data science and augmented reality (AR) technology convergence in recent years has
cleared the door for creative applications in many different fields. To revolutionize the …

A Systematic Literature Review on Transparencyand Interpretability of AI models in Healthcare: Taxonomies, Tools, Techniques, Datasets, OpenResearch Challenges …

W Shafik, AF Hidayatullah, K Kalinaki, H Gul, RY Zakari… - 2024 - researchsquare.com
The increased utilization of disruptive health and biomedical informatics technologies, such
as artificial intelligence (AI), has accelerated medical operations from patient-centered …

A study of Cardiovascular disease Risk factors using ML techniques

B Kumar, S Gulnar, P Banerjee… - … Global Conference on …, 2023 - ieeexplore.ieee.org
Worldwide, machine learning (ML) is applied in the healthcare industry. Machine learning
approaches enable the preservation of cardiac illnesses and locomotor disorders in the …