Evidence map›Paper›PMID 40264319›Full record

ReviewCurrent drug discovery technologies2025

Effective Integration of Artificial Intelligence and Blockchain Technologies for Empowerment of Drug Discovery and Development.

Virendra S Gomase, Devendra L Visokar, Vitthal V Chopade

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current drug discovery technologies, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Virendra S GomaseS.P. Mandali's Prin. L. N. Welingkar Institute of Management Development & Research, Mumbai, 400019, India.ORCID 0000-0003-2454-1779
Devendra L VisokarDepartment of Pharmaceutics, Modern College of Pharmacy, Savitribai Phule Pune University, Pune, 411028, India.
Vitthal V ChopadeDepartment of Pharmaceutical Chemistry, Modern College of Pharmacy, Savitribai Phule Pune University, Pune, 411028, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The effective integration of blockchain technology and artificial intelligence (AI) has the potential to change healthcare management. Two cutting-edge developments in the healthcare industry are blockchain and artificial intelligence. Blockchain, an open network for information sharing and permission, is being used in e-Health to apply artificial intelligence models. Healthcare workers will be able to view patient medical records on the blockchain. Artificial intelligence (AI) makes use of a wide range of suggested algorithms, decision-making power, and vast amounts of data. Health care services can be made more decentralized, transparent, safe, and impenetrable with the use of blockchain technology. AI needs cryptographic records to be stored, and blockchain makes this possible. Applications of artificial intelligence in healthcare management include chatbots for diagnosis and treatment, predictive analytics, personalized medicine, and more. Blockchain technology has applications in supply chain management, clinical trial management, interoperability, and data security and integrity in healthcare management. A more effective, safe, and patient-centered healthcare ecosystem can be created by integrating blockchain technology and artificial intelligence (AI) into healthcare management. It can encourage the development of a wide range of applications in radiology, cancer treatment, cardiology, dermatology, and fundoscopy that may save patients' lives.

Indexed as

Artificial IntelligenceBlockchainDrug DevelopmentDrug DiscoveryDelivery of Health CareHumansalgorithmsartificial intelligenceBlockchain technologiesclinical trialselectronic medical recordssocial and public health.

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.