Evidence map›Paper›PMID 37337063›Full record

ArticleEating and weight disorders : EWD2023

The oracle of Delphi 2.0: considering artificial intelligence as a challenging tool for the treatment of eating disorders.

Giovanni Abbate-Daga, Alberto Taverna, Matteo Martini

Abstract readEditorial
In one paragraph

Article in Eating and weight disorders : EWD, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Ethical Challenges in AI Approaches to Eating Disorders.Journal of medical Internet research · 2023
    Article
  6. Artificial intelligence and eating disorders: a commentary.Eating and weight disorders : EWD · 2023
    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

3 authors.

Giovanni Abbate-DagaDepartment of Neuroscience, University of Turin, Via Cherasco 15, Turin, Italy. giovanni.abbatedaga@unito.it.ORCID http://orcid.org/0000-0002-5826-5664
Alberto TavernaASL City of Turin, Via San Secondo 29, Turin, Italy.
Matteo MartiniDepartment of Neuroscience, University of Turin, Via Cherasco 15, Turin, Italy.ORCID http://orcid.org/0000-0001-8877-0138

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this editorial, we discuss how the diffusion of Artificial Intelligence (AI)-based tools-such as the recently available conversational AIs-could impact and transform eating disorders (EDs) care. We try to envision the possible use of AI by individuals affected by EDs and by clinicians, in terms of prevention, support to treatment, and development of new and actually personalized treatment strategies. We then focus on how the introduction of AI into psychotherapy could either represent an element of disruption for the therapeutical relationship or be positively and creatively integrated into session and inter-sessional dynamics. As technological advancements open scenarios where anyone could have access to a personal and all-knowing "oracle", the ability to formulate questions, individuals' experiences, and the scientific rigor with which clinicians study them must remain at the center of our work. Ethical and legal issues about the use of AI are also considered.

Indexed as

Artificial IntelligenceFeeding and Eating DisordersCommunicationHumansPsychotherapyAnorexia nervosaArtificial IntelligenceEating disordersEthicsPsychotherapyTreatment

Identifiers

PMID37337063
PMCPMC10279563

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.