ArticleMissouri medicine
Brain Implants in the Age of Artificial Intelligence.
Article in Missouri medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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0 citing papers in PubMed.
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Brain implants are routinely used to treat movement disorders and other network disorders such as obsessive-compulsive disorder. Closed-loop intracranial brain stimulation systems can now detect neural biomarkers of disease in real-time and therapeutically stimulate the brain based on these signals. Research devices can measure neural data on the order of single neurons and transform these data, via machine learning algorithms, into cursor movements and keyboard clicks, so that a quadriplegic patient can control a robotic arm. It is still a challenge to find the important brain signals of interest, that encode a patient's intentions or needs. Furthermore, the ethics of developing devices that allow for human cognitive and physical enhancement should be a part of societal discussion. The hope is that artificial intelligence (AI) will continue to advance neurotechnology's role in human health.
Indexed as
Identifiers
41438920PMC12721853What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.