The state of quantum computing applications in health and medicine

FF Flöther - Research Directions: Quantum Technologies, 2023 - cambridge.org
Medicine, including fields in healthcare and life sciences, has seen a flurry of quantum-
related activities and experiments in the last few years (although biology and quantum …

[HTML][HTML] Machine learning application in autoimmune diseases: State of art and future prospectives

MG Danieli, S Brunetto, L Gammeri, D Palmeri… - Autoimmunity …, 2024 - Elsevier
Autoimmune diseases are a group of disorders resulting from an alteration of immune
tolerance, characterized by the formation of autoantibodies and the consequent …

[HTML][HTML] Thermal threshold for knee osteoarthritis people evaluated with infrared thermography: A scoping review

L Petrigna, A Amato, F Roggio, B Trovato… - Journal of Thermal …, 2024 - Elsevier
Introduction Knee degenerative processes, such as osteoarthritis, are disabling. An early
intervention is generally more effective making important a timely diagnosis. A pre-diagnosis …

RANet: a custom CNN model and quanvolutional neural network for the automated detection of rheumatoid arthritis in hand thermal images

RK Ahalya, FM Almutairi, U Snekhalatha, V Dhanraj… - Scientific Reports, 2023 - nature.com
Rheumatoid arthritis is an autoimmune disease which affects the small joints. Early
prediction of RA is necessary for the treatment and management of the disease. The current …

Quantum machine learning‐based framework to detect heart failures in Healthcare 4.0

M Munshi, R Gupta, NK Jadav… - Software: Practice …, 2024 - Wiley Online Library
Quantum machine learning (QML) is an emerging field that combines the power of quantum
computing with machine learning (ML) techniques to solve complex problems. In recent …

A survey of artificial intelligence in rheumatoid arthritis

J Wang, Y Tian, T Zhou, D Tong, J Ma… - Rheumatology and …, 2023 - degruyter.com
The article offers a survey of currently notable artificial intelligence methods (released
between 2019-2023), with a particular emphasis on the latest advancements in detecting …

The study of various registration methods based on maximal stable extremal region and machine learning

RK Patel, M Kashyap - Computer Methods in Biomechanics and …, 2023 - Taylor & Francis
This review article aims to discuss contemporary and traditional image registration methods,
which involve establishing correspondences between two or more images of a same object …

Segmenting hotspots from medical thermal images using Density-based modified FC-PcFS with spatial information

T Gupta, I Sreedevi, R Jindal - Quantitative InfraRed Thermography …, 2024 - Taylor & Francis
Thermal cameras complemented with robust and automated computational intelligence-
aided diagnostic systems can be deployed at public gathering points and on smartphones to …

[HTML][HTML] Quantum Computing Research in Medical Sciences

S Alrashed, N Min-Allah - Informatics in Medicine Unlocked, 2024 - Elsevier
With the emergence of ever-improving quantum computers, technology is making its way to
revolutionize many fields, and the medical sector is no exception. Recent efforts have …

[HTML][HTML] RA-XTNet: A Novel CNN Model to Predict Rheumatoid Arthritis from Hand Radiographs and Thermal Images: A Comparison with CNN Transformer and …

AR Kesavapillai, SM Aslam, S Umapathy, F Almutairi - Diagnostics, 2024 - mdpi.com
The aim and objective of the research are to develop an automated diagnosis system for the
prediction of rheumatoid arthritis (RA) based on artificial intelligence (AI) and quantum …