ArticleCancer medicine2024
An automatic parathyroid recognition and segmentation model based on deep learning of near-infrared autofluorescence imaging.
Article in Cancer medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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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.
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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.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.
- Pooled it
- Endoscopic detection of near-infrared autofluorescence in the parathyroid glands: a case report of two patients.Annals of medicine and surgery (2012) · 2026Article
- Research status and frontier trends of near-infrared autofluorescence for parathyroid identification and protection: a bibliometric analysis from 2006 to 2026.Gland surgery · 2026Article
- A novel automated parathyroid glands detection and segmentation method in thyroidectomy.BMC surgery · 2026Article
- A reliable and explainable deep learning framework for clinical-grade endocrine disorder risk prediction and decision support.Frontiers in artificial intelligence · 2026Article
- Enhanced parathyroid identification and preservation in total thyroidectomy using combined near-infrared autofluorescence and carbon nanoparticles.Frontiers in surgery · 2026Article
- Intraoperative applications of artificial intelligence for augmented parathyroid gland recognition: a narrative review.Gland surgery · 2025Review
- The research progress of label-free optical imaging technology in intraoperative real-time navigation of parathyroid glands.Lasers in medical science · 2025Review
- An automatic parathyroid recognition and segmentation model based on deep learning of near-infrared autofluorescence imaging.Cancer medicine · 2024Article
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionNear-infrared autofluorescence imaging (NIFI) can be used to identify parathyroid gland (PG) during surgery. The purpose of the study is to establish a new model, help surgeons better identify, and protect PGs.
methodsFive hundred and twenty three NIFI images were selected. The PGs were recorded by NIFI and marked with artificial intelligence (AI) model. The recognition rate for PGs was calculated. Analyze the differences between surgeons of different years of experience and AI recognition, and evaluate the diagnostic and therapeutic efficacy of AI model.
resultsOur model achieved 83.5% precision and 57.8% recall in the internal validation set. The visual recognition rate of AI model was 85.2% and 82.4% on internal and external sets. The PG recognition rate of AI model is higher than that of junior surgeons (p < 0.05).
conclusionsThis AI model will help surgeons identify PGs, and develop their learning ability and self-confidence.
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Registered trials
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.