Evidence map›Paper›PMID 37204545›Full record

ArticleAnnals of biomedical engineering2023

AI Tackles Pandemics: ChatGPT's Game-Changing Impact on Infectious Disease Control.

Partha Pratim Ray, Poulami Majumder

Abstract readLetter
In one paragraph

Article in Annals of biomedical engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
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

2 authors.

Partha Pratim RaySikkim University, Gangtok, India. ppray@cus.ac.in.
Poulami MajumderMaulana Abul Kalam Azad University of Technology, Kolkata, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Unleashing the power of artificial intelligence (AI), this letter delves into the potential applications of ChatGPT, a cutting-edge language model, in the management and control of infectious diseases. By examining ChatGPT's contributions to information dissemination, diagnosis, treatment, and research, the article underscores its revolutionary impact on the field while acknowledging existing limitations and envisioning future advancements for optimized medical applications.

Indexed as

Artificial IntelligencePandemicsInformation DisseminationArtificial intelligenceChatGPTDisease managementHealthcareInfectious diseasesNatural language processing

Identifiers

PMID37204545
PMCPMC10196282

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.