Artificial intelligence (AI) and internet of medical things (IoMT) assisted biomedical systems for intelligent healthcare
P Manickam, SA Mariappan, SM Murugesan, S Hansda… - Biosensors, 2022 - mdpi.com
Artificial intelligence (AI) is a modern approach based on computer science that develops
programs and algorithms to make devices intelligent and efficient for performing tasks that …
programs and algorithms to make devices intelligent and efficient for performing tasks that …
Assessment methods of post-stroke gait: A scoping review of technology-driven approaches to gait characterization and analysis
DM Mohan, AH Khandoker, SA Wasti… - Frontiers in …, 2021 - frontiersin.org
Background: Gait dysfunction or impairment is considered one of the most common and
devastating physiological consequences of stroke, and achieving optimal gait is a key goal …
devastating physiological consequences of stroke, and achieving optimal gait is a key goal …
Artificial intelligence and orthopaedics: an introduction for clinicians
TG Myers, PN Ramkumar, BF Ricciardi, KL Urish… - JBJS, 2020 - journals.lww.com
Artificial Intelligence and Orthopaedics: An Introduction fo... : JBJS Artificial Intelligence and
Orthopaedics: An Introduction for Clinicians : JBJS JBJS Journal Case Connector Reviews …
Orthopaedics: An Introduction for Clinicians : JBJS JBJS Journal Case Connector Reviews …
Deep learning model for automated detection and classification of central canal, lateral recess, and neural foraminal stenosis at lumbar spine MRI
Background Assessment of lumbar spinal stenosis at MRI is repetitive and time consuming.
Deep learning (DL) could improve productivity and the consistency of reporting. Purpose To …
Deep learning (DL) could improve productivity and the consistency of reporting. Purpose To …
[HTML][HTML] Neurosurgery and artificial intelligence
M Mofatteh - AIMS neuroscience, 2021 - ncbi.nlm.nih.gov
Neurosurgeons receive extensive and lengthy training to equip themselves with various
technical skills, and neurosurgery require a great deal of pre-, intra-and postoperative …
technical skills, and neurosurgery require a great deal of pre-, intra-and postoperative …
Artificial intelligence and computer aided diagnosis in chronic low back pain: A systematic review
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 …
socioeconomic burden. Diagnosis and treatment of LBP often involve a multidisciplinary …
The role of machine learning in spine surgery: the future is now
The recent influx of machine learning centered investigations in the spine surgery literature
has led to increased enthusiasm as to the prospect of using artificial intelligence to create …
has led to increased enthusiasm as to the prospect of using artificial intelligence to create …
Artificial intelligence and computer vision in low back pain: a systematic review
Chronic Low Back Pain (LBP) is a symptom that may be caused by several diseases, and it
is currently the leading cause of disability worldwide. The increased amount of digital …
is currently the leading cause of disability worldwide. The increased amount of digital …
[HTML][HTML] Machine learning in orthopaedic surgery
Artificial intelligence and machine learning in orthopaedic surgery has gained mass interest
over the last decade or so. In prior studies, researchers have demonstrated that machine …
over the last decade or so. In prior studies, researchers have demonstrated that machine …
A deep-learning-based framework for automated diagnosis of COVID-19 using X-ray images
The emergence and outbreak of the novel coronavirus (COVID-19) had a devasting effect on
global health, the economy, and individuals' daily lives. Timely diagnosis of COVID-19 is a …
global health, the economy, and individuals' daily lives. Timely diagnosis of COVID-19 is a …