Table 5.
The 10 most co-cited articles on the application of artificial intelligence in peripheral nerve injury and repair (sorted by co-citation counts) (data from 613 articles retrieved from the Web of Science Core Collection database)
| References | Cluster ID | Label (LLR) | Article highlights | Major Issues | Citation Counts |
|---|---|---|---|---|---|
| Raspopovic et al., 2014 | #1 | Ulnar nerve | By stimulating the median and ulnar nerve fascicles using transversal multichannel intrafascicular electrodes, physiologically appropriate (near-natural) sensory information can be transferred to amputees when decoding different grasping tasks in real time to control a dexterous hand prosthesis, based on the information provided by artificial sensors from a hand prosthesis. This feedback allows the participant to effectively modulate the grasping force of the prosthesis without visual or auditory feedback, thereby providing a key strategy for the near-natural replacement of missing hands. | AI control + electrode stimulation + artificial prosthesis (upper limb) + information feedback | 20 |
| Davis et al., 2016 | #3 | Deep learning-based approaches | A 96-microelectrode array can be implanted in the human peripheral nervous system for up to 1 month. This array can provide intuitive control of a virtual prosthetic hand with extensive sensory feedback. | AI control + electrode implantation in peripheral nerves + information feedback | 18 |
| Navarro et al., 2005 | #0 | Cybernetic hand prostheses | Many neuroprostheses use interfaces with peripheral nerves or muscles for neuromuscular stimulation and signal recording. This review offers a critical overview of existing peripheral interfaces and traces their clinical application in the control of artificial and robotic prostheses. | AI control + artificial prosthesis (upper limb) + information feedback + peripheral nerve interface | 15 |
| Tan et al., 2014 | #1 | Ulnar nerve | Implanted peripheral nerve interfaces in two upper limb amputees provided stable, natural touch sensation in their hands over 1 year. Electrical stimulation using implanted peripheral nerve cuff electrodes that do not penetrate the nerve produced tactile sensation in many locations on the phantom hand, and both subjects had reproducible, stable responses for 16 and 24 months. | AI control + information feedback+peripheral nerve interface | 14 |
| Dhillon et al., 2004 | #0 | Cybernetic hand prostheses | Amputees who underwent elective stump surgery were enrolled. Longitudinal intravascular electrodes were percutaneously inserted and implanted in the amputees’ nerves, and the electrodes were connected to a laptop-controlled amplifier and stimulator system. This study indicates that peripheral nerve interfaces can be used to provide amputees with prosthetic limbs with more natural sensation and control than that provided by current myoelectric and body dynamics control systems. | AI control + electrode implantation in peripheral nerves + information feedback+peripheral nerve interface | 13 |
| Ronneberger et al., 2015 | #2 | Corneal confocal microscopy | A network and training strategy is proposed that relies on a robust use of data augmentation to make more efficient use of the annotated samples available. The architecture consists of a contraction path that captures the context and a symmetric extension path that achieves precise localization. | AI + path localization | 13 |
| Kingma and Ba, 2014 | #5 | Using coherent anti-Stokes Raman | Adam, an algorithm for first-order gradient-based optimization of stochastic objective functions, is introduced. This algorithm is based on adaptive estimates of low-order moments. The method is simple and easy to implement, computationally efficient, has low memory requirements, is insensitive to diagonal remodeling of the gradient, and is available for problems with large-scale data and/or parameters. | AI algorithms | 12 |
| Vu PP et al., 2018 | #3 | Deep learning-based approaches | This study implemented a standard Kalman filter for continuous hand control in non-human primates using intramuscular electromyography from a regenerative peripheral nerve interface (RPNI) and intact muscles. It is the first demonstration of chronic retention electrodes for continuous position control using the Kalman filter. This is an important step forward in providing patients with more natural prosthetic control. | AI control + artificial prosthesis (hands) | 11 |
| Dhillon et al., 2005 | #0 | Cybernetic hand prostheses | This study is the first to demonstrate direct neurofeedback from and direct neural control of an amputee’s artificial arm by implanting electrodes into a single bundle of the amputee’s peripheral nerve stump, through which stimulation can produce graded, discrete sensations of touch or movement, and through which motor neuron activity associated with the tentative movements of the phantom limb can be recorded and used as a hierarchical control signal. | AI control + electrode implantation + information feedback+signal control | 9 |
| Rossini et al., 2010 | #1 | Ulnar nerve | The study evaluated a novel peripheral intraneural multielectrode for multi-movement prosthesis control and sensory feedback, as well as assessing cortical remodeling after the regaining of data streams. | AI control + electrode implantation + information feedback | 9 |
When two (or more) articles were cited as references together by one or more subsequent articles, they were said to be co-cited. Citation Counts refer to the number of co-citations of the literature, and reflect not only the literature impact but also the importance and trending behavior of the research topic, which change over time.