Evidence map›Paper›PMID 42662638›Full record

ReviewCureus2026

Artificial Intelligence (AI) and Parathyroid Gland Preservation During Thyroidectomy.

Antreana Hadjipavlou, Antria Nicolaou, Eleftheria Sazou, Ioannis Pliakos, Moysis Moysidis, Theodossis Papavramidis, Angeliki Chorti

Abstract readReview
In one paragraph

Review in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Antreana HadjipavlouSchool of Medicine, Aristotle University of Thessaloniki, Thessaloniki, GRC.
Antria NicolaouSchool of Medicine, Aristotle University of Thessaloniki, Thessaloniki, GRC.
Eleftheria SazouSchool of Medicine, Aristotle University of Thessaloniki, Thessaloniki, GRC.
Ioannis Pliakos1st Propaedeutic Department of Surgery, American Hellenic Educational Progressive Association (AHEPA) University Hospital, Aristotle University, Thessaloniki, GRC.
Moysis Moysidis1st Propaedeutic Department of Surgery, American Hellenic Educational Progressive Association (AHEPA) University Hospital, Aristotle University, Thessaloniki, GRC.
Theodossis Papavramidis1st Propaedeutic Department of Surgery, American Hellenic Educational Progressive Association (AHEPA) University Hospital, Aristotle University, Thessaloniki, GRC.
Angeliki Chorti1st Propaedeutic Department of Surgery, American Hellenic Educational Progressive Association (AHEPA) University Hospital, Aristotle University, Thessaloniki, GRC.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Preserving the parathyroid glands (PGs) is crucial during thyroidectomy to avoid hypoparathyroidism and its related complications. Recently, artificial intelligence (AI) based techniques have been introduced intraoperatively, allowing surgeons to reduce the level of subjectivity and assist with the identification of PGs accurately and quickly. The aim of this narrative review is to assess the current evidence on the application of AI in parathyroid gland (PG) preservation. PubMed, Google Scholar, and Embase were used for the search for various types of studies and reviews dating from 2015 up to 2025, relating PG detection and preservation during thyroidectomy with AI. A total of 368 articles were identified through the database searching. After duplicates were removed and articles were screened, 358 records not fulfilling the criteria were excluded. In total, 11 studies are included, which focus on artificial intelligence or deep learning identification of parathyroid glands during thyroidectomy. The criteria of inclusion were the use or the development and training of an AI model, deep learning, near-infrared autofluorescence (NIRAF), and intraoperative PG identification and preservation. Although available data remain limited, this narrative review suggests that AI-assisted techniques are feasible and have the potential to improve surgical accuracy and efficiency. To confirm this clinical benefit, further high-quality prospective studies are required.

Indexed as

artificial intelligencenear infrared autofluorescenceparathyroid glandparathyroid gland preservationthyroidectomy

Identifiers

PMID42662638
PMCPMC13520060

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.