Evidence map›Paper›PMID 39282019›Full record

ReviewCyborg and bionic systems (Washington, D.C.)2024

Sensors and Devices Guided by Artificial Intelligence for Personalized Pain Medicine.

Yantao Xing, Kaiyuan Yang, Albert Lu, Ken Mackie, Feng Guo

Abstract readReview
In one paragraph

Review in Cyborg and bionic systems (Washington, D.C.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed.

  1. Article
  2. Organoid Brain-Machine-Interface Devices for Central Nervous System Repair.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Review
  10. Decoding Pain: Next-Generation In Vitro Systems for Mechanistic Insights and Drug Discovery.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
    Review
  11. Review
  12. The first birthday of OpenAI's Sora: A promising but cautious future in medicine.International journal of surgery (London, England) · 2025
    Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Review
  19. Wearable sensors-based assistive technologies for patient health monitoring.Frontiers in bioengineering and biotechnology · 2025
    Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yantao XingDepartment of Intelligent Systems Engineering, Indiana University Bloomington, Bloomington, IN 47405, USA.
Kaiyuan YangDepartment of Intelligent Systems Engineering, Indiana University Bloomington, Bloomington, IN 47405, USA.
Albert LuDepartment of Intelligent Systems Engineering, Indiana University Bloomington, Bloomington, IN 47405, USA.
Ken MackieGill Center for Biomolecular Science, Department of Psychological and Brain Sciences, Indiana University Bloomington, Bloomington, IN 47405, USA.
Feng GuoDepartment of Intelligent Systems Engineering, Indiana University Bloomington, Bloomington, IN 47405, USA.ORCID https://orcid.org/0000-0001-9103-3235

Funding

An automated portable system for detecting and treating opioid induced respiratory depressionU01DA056242 · NIDA · TRUSTEES OF INDIANA UNIVERSITY · PI GUO, FENG, MACKIE, KENNETH · 2022 to 2024
$3.8M
An acoustofluidic avidity cytometer for massive parallel profiling single autoreactive T cell in autoimmune diseaseDP2AI160242 · NIAID · TRUSTEES OF INDIANA UNIVERSITY · PI GUO, FENG · 2020 to 2020
$2.4M
NIAID NIH HHS DP2 AI160242NIDA NIH HHS U01 DA056242
6 · The paper itself

Abstract

Personalized pain medicine aims to tailor pain treatment strategies for the specific needs and characteristics of an individual patient, holding the potential for improving treatment outcomes, reducing side effects, and enhancing patient satisfaction. Despite existing pain markers and treatments, challenges remain in understanding, detecting, and treating complex pain conditions. Here, we review recent engineering efforts in developing various sensors and devices for addressing challenges in the personalized treatment of pain. We summarize the basics of pain pathology and introduce various sensors and devices for pain monitoring, assessment, and relief. We also discuss advancements taking advantage of rapidly developing medical artificial intelligence (AI), such as AI-based analgesia devices, wearable sensors, and healthcare systems. We believe that these innovative technologies may lead to more precise and responsive personalized medicine, greatly improved patient quality of life, increased efficiency of medical systems, and reducing the incidence of addiction and substance use disorders.

Identifiers

PMID39282019
PMCPMC11395709

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.