Challenges for translating implantable brain-computer interface to medical device

Deng, Chunshan; Li, Xiaojian; Dai, Ji

doi:10.59717/j.xinn-med.2023.100040

TIME

2023

DOI: 10.59717/j.xinn-med.2023.100040

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Challenges for translating implantable brain-computer interface to medical device

Chunshan Deng,

Xiaojian Li,

Ji Dai

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2024

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Cited by 3 publications

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“…In 2022, this team achieved an equivalent information transfer rate of 62 bits/min in the BCI speller with epilepsy patients. 4 On October 24, 2023, at Xuanwu Hospital in Beijing, a NEO device was successfully implanted into the brain of a patient who had been quadriplegic for 14 years due to complete spinal cord injury. Ten days post-surgery, the patient was discharged from hospital and returned home.…”

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confidence: 99%

Applications over the horizon — Advancements and challenges in brain-computer interfaces

Pang,

Yuan,

Zheng

et al. 2024

TIL

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mentioning

confidence: 99%

Applications over the horizon — Advancements and challenges in brain-computer interfaces

Pang,

Yuan,

Zheng

et al. 2024

TIL

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Artificial intelligence for life sciences: A comprehensive guide and future trends

Luo,

Yang,

Bai

et al. 2024

TIL

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<p>Artificial intelligence has had a profound impact on life sciences. This review discusses the application, challenges, and future development directions of artificial intelligence in various branches of life sciences, including zoology, plant science, microbiology, biochemistry, molecular biology, cell biology, developmental biology, genetics, neuroscience, psychology, pharmacology, clinical medicine, biomaterials, ecology, and environmental science. It elaborates on the important roles of artificial intelligence in aspects such as behavior monitoring, population dynamic prediction, microorganism identification, and disease detection. At the same time, it points out the challenges faced by artificial intelligence in the application of life sciences, such as data quality, black-box problems, and ethical concerns. The future directions are prospected from technological innovation and interdisciplinary cooperation. The integration of Bio-Technologies (BT) and Information-Technologies (IT) will transform the biomedical research into AI for Science and Science for AI paradigm.</p>

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The past and future depicted by neural electrode technology

Yu,

Liu,

Wang

et al. 2024

TIME

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<p>Neural electrode is the most direct part of brain computer interface technology to link the carbon based brain and silicon based computer. Here, we briefly reviewed the development history of neural electrode technology, and then presented our views on its prospects for the future. How to decipher the logic code of neural circuits and apply it to the electronic design is a most crucial biophysics topic for scientists in the long term, and ideas on two types of future neural electrode in the relatively short term are also delivered to our fellows around the world.</p>

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Challenges for translating implantable brain-computer interface to medical device

Cited by 3 publications

References 4 publications

Applications over the horizon — Advancements and challenges in brain-computer interfaces

Applications over the horizon — Advancements and challenges in brain-computer interfaces

Artificial intelligence for life sciences: A comprehensive guide and future trends

The past and future depicted by neural electrode technology

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