Artificial intelligence and computer aided diagnosis in chronic low back pain: A systematic review

F D'Antoni, F Russo, L Ambrosio, L Bacco… - International journal of …, 2022 - mdpi.com
Low Back Pain (LBP) is currently the first cause of disability in the world, with a significant
socioeconomic burden. Diagnosis and treatment of LBP often involve a multidisciplinary …

Artificial intelligence: A new cutting-edge tool in spine surgery

GP Kalanjiyam, T Chandramohan… - Asian Spine …, 2024 - pmc.ncbi.nlm.nih.gov
The purpose of this narrative review was to comprehensively elaborate the various
components of artificial intelligence (AI), their applications in spine surgery, practical …

Artificial Intelligence Empowering Medical Image Processing

T Geroski, N Filipović - In Silico Clinical Trials for Cardiovascular Disease …, 2024 - Springer
The integration of artificial intelligence (AI) into medical image processing has emerged as a
transformative paradigm, revolutionizing diagnostic and therapeutic approaches in the field …

[HTML][HTML] Enhanced Disc Herniation Classification Using Grey Wolf Optimization Based on Hybrid Feature Extraction and Deep Learning Methods

Y Sarı, N Aydın Atasoy - Tomography, 2024 - mdpi.com
Due to the increasing number of people working at computers in professional settings, the
incidence of lumbar disc herniation is increasing. Background/Objectives: The early …

Implementation of medical image processing algorithms on FPGA using xilinx system generator

TI Šušteršič, ND Filipovic - Computational Modeling and …, 2021 - Wiley Online Library
While software implementation of various image processing methods is adequate for
general application, when it comes to meeting real‐time requirements, the implementation …

Heart Rate Variability Analysis Through Upsampling on Electrocardiogram Data

U Zaky, E Noersasongko, A Syukur… - 2023 6th International …, 2023 - ieeexplore.ieee.org
Heart Rate Variability (HRV) measurement is very dependent on the distance between
heartbeats (RR Interval). This value is affected by the number of samples produced per …

[HTML][HTML] ИННОВАЦИОННЫЕ МЕТОДЫ ДИАГНОСТИКИ БОЛЕЙ В ПОЯСНИЦЕ (ОБЗОР)

НБ Болат, АЕ Нуралиева, УА Калыбаева… - Медицина труда и …, 2024 - cyberleninka.ru
Боль в пояснице является распространенной проблемой опорно-двигательного
аппарата, которая значительно ухудшает качество жизни и приводит к снижению …

FPGA Implementation of Expert System for Medical Diagnosis of Disc Hernia Diagnosis Based on Bayes Theorem

T Šušteršič, A Peulić - Journal of Circuits, Systems and Computers, 2023 - World Scientific
The aim of this research is to create a medical expert system based on Bayes theorem to
diagnose level of disc hernia based on real foot force measurement signals obtained using …

Computational Modelling and Machine Learning Based Image Processing in Spine Research

T Šušteršič, V Kovačević, V Ranković, L Rasulić… - … and Applications of …, 2022 - Springer
Diagnosing spinal problems is not an easy task. Doctors collect different types of
information, including magnetic resonance imaging (MRI), to make a final diagnosis and …

[PDF][PDF] N. Enhanced Disc Herniation Classification Using Grey Wolf Optimization Based on Hybrid Feature Extraction and Deep Learning Methods. Tomography 2024 …

Y Sarı, A Atasoy - 2024 - researchgate.net
Due to the increasing number of people working at computers in professional settings, the
incidence of lumbar disc herniation is increasing. Background/Objectives: The early …