Evidence map›Paper›PMID 38817799›Full record

ArticleCureus2024

Transforming Virtual Healthcare: The Potentials of ChatGPT-4omni in Telemedicine.

Mohamad-Hani Temsah, Amr Jamal, Khalid Alhasan, Fadi Aljamaan, Ibraheem Altamimi, Khalid H Malki, Abdulrahman Temsah, Robin Ohannessian, Ayman Al-Eyadhy

Abstract readEditorial
PubMed Full text at PMC Publisher
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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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

9 authors.

Mohamad-Hani TemsahPediatric Intensive Care Unit, Pediatric Department, King Saud University Medical City, College of Medicine, King Saud University, Riyadh, SAU.
Amr JamalFamily and Community Medicine, King Saud University, Riyadh, SAU.
Khalid AlhasanPediatric Nephrology, King Saud University, Riyadh, SAU.
Fadi AljamaanCritical Care Department, College of Medicine, King Saud University, Riyadh, SAU.
Ibraheem AltamimiCollege of Medicine, King Saud University, Riyadh, SAU.
Khalid H MalkiDepartment of Otolaryngology, College of Medicine, King Saud University, Riyadh, SAU.
Abdulrahman TemsahSoftware Engineering Department, College of Engineering, Alfaisal University, Riyadh, SAU.
Robin OhannessianDigital Health, Vickino Institute of Telehealth, Vickino, ARM.
Ayman Al-EyadhyDepartment of Pediatrics, Pediatric Intensive Care Unit, College of Medicine, King Saud University, Riyadh, SAU.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The introduction of OpenAI's ChatGPT-4omni (GPT-4o) represents a potential advancement in virtual healthcare and telemedicine. GPT-4o excels in processing audio, visual, and textual data in real time, offering possible enhancements in understanding natural language in both English and non-English contexts. Furthermore, the new "Temporary Chat" feature may improve privacy and data confidentiality during interactions, potentially increasing integration with healthcare systems. These innovations promise to enhance communication clarity, facilitate the integration of medical images, and increase data privacy in online consultations. This editorial explores some future implications of these advancements for telemedicine, highlighting the necessity for further research on reliability and the integration of advanced language models with human expertise.

Indexed as

ai in healthcarechatgpt-4odata privacydigital health innovationshealth information privacylarge language models (llm)natural language processingpatient communicationtelemedicinevirtual healthcare

Identifiers

PMID38817799
PMCPMC11139454

What Socratic 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 Socratic graph.