ReviewIndian journal of endocrinology and metabolism
A Glimpse into the Realm that Combines Artificial Intelligence and Endocrinology.
Review in Indian journal of endocrinology and metabolism. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Technology and Obesity: A Year in Review.Advances in therapy · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial Intelligence (AI) in the healthcare sector is expanding quickly. It is significantly assisting us in assimilating the growing volume of data and applying it to enhance patient care while maintaining the present state of cost-effectiveness. AI has often been used in developing screening and diagnostic tools in endocrinology, with some limited uses in disease management. AI has assisted in the accurate diagnosis of thyroid nodules, detection of adrenal malignancies, prediction of diabetes microvascular complications, calculation of correct bone age, and estimation of the risks of osteoporosis. Additionally, it has been used successfully in the insulin algorithm of closed-loop insulin delivery and predicting survival in endocrinological malignancies. With an emphasis on the key concepts of artificial intelligence, such as machine learning algorithms and deep-learning models, this article seeks to present a brief overview of the state of AI applications in endocrinology and metabolism.
Indexed as
Identifiers
What Socratic holds
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 Socratic graph.