Evidence map›Paper›PMID 40805956›Full record

ArticleHealthcare (Basel, Switzerland)2025

The Application of Artificial Intelligence in Acute Prescribing in Homeopathy: A Comparative Retrospective Study.

Rachael Doherty, Parker Pracjek, Christine D Luketic, Denise Straiges, Alastair C Gray

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 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. 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

5 authors.

Rachael DohertyHOHM Foundation, Office of Research, Philadelphia, PA 19138, USA.
Parker PracjekHOHM Foundation, Office of Research, Philadelphia, PA 19138, USA.ORCID 0009-0008-1201-270X
Christine D LuketicHOHM Foundation, Office of Research, Philadelphia, PA 19138, USA.ORCID 0009-0008-8699-4398
Denise StraigesHOHM Foundation, Office of Research, Philadelphia, PA 19138, USA.ORCID 0000-0002-3150-854X
Alastair C GrayHOHM Foundation, Office of Research, Philadelphia, PA 19138, USA.ORCID 0000-0003-4520-4560

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectiveThe use of artificial intelligence to assist in medical applications is an emerging area of investigation and discussion. The researchers studied whether there was a difference between homeopathy guidance provided by artificial intelligence (AI) (automated) and live professional practitioners (live) for acute illnesses. Additionally, the study explored the practical challenges associated with validating AI tools used for homeopathy and sought to generate insights on the potential value and limitations of these tools in the management of acute health complaints.

methodRandomly selected cases at a homeopathy teaching clinic (

resultIn the 100 cases compared, the automated online remedy finder provided between 1 and 20 prioritized remedy recommendations for each complaint, leaving the user to make the final remedy decision based on how well their characteristic symptoms were covered by each potential remedy. The live practitioner-recommended remedy was included somewhere among the auto-mated results in 59% of the cases, appeared in the top three results in 37% of the cases, and was a top remedy match in 17% of the cases. There was no guidance for managing remedy responses found in live clinical settings.

conclusionThis study also highlights the challenge and importance of validating AI remedy recommendations against real cases. The automated remedy finder used covered 74 acute complaints. The live cases from the teaching clinic included 22 of the 74 complaints.

Indexed as

artificial intelligenceclinical outcomeshomeopathylarge language modelsMYCaWteaching clinic

Identifiers

PMID40805956
PMCPMC12345833

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.