ArticleOncotarget2018
Converging blockchain and next-generation artificial intelligence technologies to decentralize and accelerate biomedical research and healthcare.
Article in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 5 of them syntheses that pooled 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.
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
58 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Blockchain in Health Information Systems: A Systematic Review.International journal of environmental research and public health · 2024Pooled it
- Blockchain technology in healthcare: A systematic review.PloS one · 2022Pooled it
- Applications of Blockchain in the Medical Field: Narrative Review.Journal of medical Internet research · 2021Pooled it
- Comparison of blockchain platforms: a systematic review and healthcare examples.Journal of the American Medical Informatics Association : JAMIA · 2019Pooled it
- Implementing Blockchains for Efficient Health Care: Systematic Review.Journal of medical Internet research · 2019Pooled it
- Artificial intelligence in emergency surgery: a scoping review within the artificial intelligence in emergency and trauma surgery (ARIES) project.World journal of emergency surgery : WJES · 2026Article
- AI and innovation in clinical trials.NPJ digital medicine · 2025Article
- Artificial Intelligence (AI) in Pharmaceutical Formulation and Dosage Calculations.Pharmaceutics · 2025Review
- Blockchain for Securing AI-Driven Healthcare Systems: A Systematic Review and Future Research Perspectives.Cureus · 2025Review
- Quantum secure patient login credential system using blockchain for electronic health record sharing framework.Scientific reports · 2025Article
- Validation and user experience testing of DataCryptChain: An open-source standard combining blockchain technology with asymmetric encryption for private, secure, shareable, and tamper-proof research data.PLOS digital health · 2025Article
- Effective Integration of Artificial Intelligence and Blockchain Technologies for Empowerment of Drug Discovery and Development.Current drug discovery technologies · 2025Review
- Review
- Article
- Exploring the Advantages of Quantum Generative Adversarial Networks in Generative Chemistry.Journal of chemical information and modeling · 2023Article
- Scrybe: A Secure Audit Trail for Clinical Trial Data Fusion.Digital threats : research and practice · 2023Article
- Artificial Intelligence for Cancer Detection-A Bibliometric Analysis and Avenues for Future Research.Current oncology (Toronto, Ont.) · 2023Review
- AI-Powered Blockchain Technology for Public Health: A Contemporary Review, Open Challenges, and Future Research Directions.Healthcare (Basel, Switzerland) · 2022Review
- Emerging Artificial Intelligence-Empowered mHealth: Scoping Review.JMIR mHealth and uHealth · 2022Article
- Passive Data Use for Ethical Digital Public Health Surveillance in a Postpandemic World.Journal of medical Internet research · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The increased availability of data and recent advancements in artificial intelligence present the unprecedented opportunities in healthcare and major challenges for the patients, developers, providers and regulators. The novel deep learning and transfer learning techniques are turning any data about the person into medical data transforming simple facial pictures and videos into powerful sources of data for predictive analytics. Presently, the patients do not have control over the access privileges to their medical records and remain unaware of the true value of the data they have. In this paper, we provide an overview of the next-generation artificial intelligence and blockchain technologies and present innovative solutions that may be used to accelerate the biomedical research and enable patients with new tools to control and profit from their personal data as well with the incentives to undergo constant health monitoring. We introduce new concepts to appraise and evaluate personal records, including the combination-, time- and relationship-value of the data. We also present a roadmap for a blockchain-enabled decentralized personal health data ecosystem to enable novel approaches for drug discovery, biomarker development, and preventative healthcare. A secure and transparent distributed personal data marketplace utilizing blockchain and deep learning technologies may be able to resolve the challenges faced by the regulators and return the control over personal data including medical records back to the individuals.
Indexed as
Identifiers
What 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.