ArticleJournal of healthcare engineering2021
Application of Propofol in Oral and Maxillofacial Surgery Anesthesia Based on Smart Medical Blockchain Technology.
Article in Journal of healthcare engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- Observation of the Auxiliary Treatment Effect of Low-Frequency Nerve Therapy Instrument after Hysteroscopy for Moderate and Severe Intrauterine Adhesions Based on Intelligent Medical Treatment.Journal of healthcare engineering · 2022Trial
- Implementation of Blockchain Technology Across Different Domains of Dentistry: A Systematic Review.Cureus · 2023Review
- The Potential of Blockchain Technology in Dental Healthcare: A Literature Review.Sensors (Basel, Switzerland) · 2023Review
- Retracted: Application of Propofol in Oral and Maxillofacial Surgery Anesthesia Based on Smart Medical Blockchain Technology.Journal of healthcare engineering · 2023Article
Corrections and comments
- Retraction · 2023-10-11Concerns/Issues about Data · Concerns/Issues about Results and/or Conclusions · Concerns/Issues about Referencing/Attributions · Concerns/Issues about Peer Review · Investigation by Journal/Publisher · Investigation by Third Party · Paper Mill · Computer-Aided Content or Computer-Generated Content · Unreliable Results and/or Conclusions ·
- Retracted
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The rapid development of intelligent computer technology has promoted the improvement of people's living standards and the application of the entire intelligent system. In modern medicine, doctors use their accumulated experience and medical knowledge to diagnose diseases and draw conclusions. In order to effectively inherit the diagnosis experience accumulated by doctors, R&D personnel put forward the idea of using artificial intelligence technology to develop an intelligent auxiliary medical diagnosis system. Aiming at the abovementioned machine-learning problems in the medical field, this article mainly introduces the application research of propofol in oral and maxillofacial surgery anesthesia based on smart medical blockchain technology. This paper proposes a research method based on smart medical blockchain technology to assist propofol in oral and maxillofacial surgery anesthesia, including support vector machine data classification algorithm, decision tree data classification algorithm, and machine-learning-based LSTM neural network. Research experiments on the application of intelligent medical aid propofol in oral and maxillofacial surgery anesthesia are conducted. The experimental results in this paper show that the response time of the general business logic interface of the application system of propofol in oral and maxillofacial surgery anesthesia based on smart medical blockchain technology is about 41 milliseconds, which can better help doctors in anesthesia and related treatments.
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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.