Evidence map›Paper›PMID 41170270›Full record

ArticleCureus2025

Emerging Bio-Intelligent Dental Prostheses: A Shift Toward Interactive and Adaptive Prosthodontic Systems.

Akshim Rana, Shubham K Srivastava, Chinmoy Sikdar, Indrakumar Hs, Aditya Shewale

Abstract readEditorial
In one paragraph

Article in Cureus, 2025. 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

5 authors.

Akshim RanaDepartment of Prosthodontics, Sardar Patel Post Graduate Institute of Dental and Medical Sciences, Lucknow, IND.
Shubham K SrivastavaDepartment of Prosthodontics, Sardar Patel Post Graduate Institute of Dental and Medical Sciences, Lucknow, IND.
Chinmoy SikdarDepartment of Prosthodontics, Sardar Patel Post Graduate Institute of Dental and Medical Sciences, Lucknow, IND.
Indrakumar HsDepartment of Prosthodontics, College of Dental Science and Hospital, Indore, IND.
Aditya ShewaleDepartment of Prosthodontics, SMBT Dental College and Hospital, Sangamner, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emerging bio-intelligent dental prostheses mark a paradigm shift from passive tissue replacements to interactive, adaptive systems. Traditional dentures and fixed prostheses restore function and esthetics but remain static within a dynamic oral environment. Recent advances in materials science, sensor technology, nanotechnology, and artificial intelligence (AI) are redefining prosthodontics by enabling prostheses to monitor, respond, and integrate with biological processes. Biosensor-embedded implants and smart dentures can track peri-implant tissue health, detect oral dryness, or provide real-time temperature data, while AI systems interpret inputs for predictive and preventive care. These innovations expand prosthodontics into a partner discipline of systemic healthcare. However, challenges remain, including device durability, power supply, data security, regulatory frameworks, and equitable access. This editorial explores the emerging concept of bio-intelligent prostheses, highlighting their potential applications, limitations, and implications for future prosthodontic education, practice, and interdisciplinary collaboration. Such systems position prostheses not as inert replacements but as intelligent health interfaces shaping the future of dental medicine.

Indexed as

bio-intelligent prosthesesdigital dentistryoral rehabilitationprosthodonticsquality of life

Identifiers

PMID41170270
PMCPMC12570697

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.