Machine learning for refining interpretation of magnetic resonance imaging scans in the management of multiple sclerosis: a narrative review.

Multiple sclerosis (MS) is an autoimmune disease of the brain and spinal cord with both inflammatory and neurodegenerative features. Although advances in imaging techniques, particularly magnetic resonance imaging (MRI), have improved the process of diagnosis, its cause is unknown, a cure remains elusive and the evidence base to guide treatment is lacking. Computational techniques like machine learning (ML) have started to be used to understand MS.

Suture tapes show superior biomechanical properties and greater meniscal healing compared to conventional sutures in posterior meniscal root tear repairs: A systematic review.

Purpose: This study aims to perform a systematic review to determine whether ultra-high molecular weight polyethylene (UHMWPE) tapes have superior biomechanical properties compared to conventional sutures in posterior meniscal root tear (PMRT) repairs, and whether this translates into superior clinical outcomes.

Methods: The Cochrane Controlled Register of Trials, PubMed and Embase were used to perform a systematic review using the following search terms: (meniscus OR meniscal) AND (root OR posterior horn) AND (suture OR tape OR wire OR cord). Data pertaining to certain biomechanical properties (load to failure, stiffness, displacement during cyclical loading and at failure), meniscal healing and patient-reported outcome measures (PROMs) were extracted.

Assessment of meniscal extrusion with ultrasonography: a systematic review and meta-analysis.

Background: Magnetic resonance imaging (MRI) is the imaging of choice for meniscal extrusion (ME). However, they may underappreciate the load-dependent changes of the meniscus. There is growing evidence that weight-bearing ultrasound (WB US) is more suitable, particularly in revealing occult extrusion.

A genetic algorithm optimization framework for the characterization of hyper-viscoelastic materials: application to human articular cartilage.

This study aims to develop an automated framework for the characterization of materials which are both hyper-elastic and viscoelastic. This has been evaluated using human articular cartilage (AC). AC (26 tissue samples from 5 femoral heads) underwent dynamic mechanical analysis with a frequency sweep from 1 to 90 Hz.

Kilohertz volumetric imaging of in-vivo dynamics using squeezed light field microscopy.

Volumetric functional imaging of transient cellular signaling and motion dynamics poses a significant challenge to current microscopy techniques, primarily due to limitations in hardware bandwidth and the restricted photon budget within short exposure times. In response to this challenge, we present squeezed light field microscopy (SLIM), a computational imaging method that enables rapid detection of high-resolution three-dimensional (3D) light signals using only a single, low-format camera sensor area. SLIM pushes the boundaries of 3D optical microscopy, achieving over one thousand volumes per second across a large field of view of 550 μm in diameter and 300 μm in depth with a spatial resolution of 3.