Evidence map›Paper›PMID 40687746›Full record

ReviewJournal of clinical orthopaedics and trauma2025

IoT-enabled medical advances shaping the future of orthopaedic surgery and rehabilitation.

Bhumika Parashar, Rishabha Malviya, Sathvik Belagodu Sridhar, Tarun Wadhwa, Javedh Shareef

Abstract readReview
In one paragraph

Review in Journal of clinical orthopaedics and trauma, 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.

Bhumika ParasharDepartment of Pharmacy, School of Medical and Allied Sciences, Galgotias University, Greater Noida, 201310, Uttar Pradesh, India.
Rishabha MalviyaDepartment of Pharmacy, School of Medical and Allied Sciences, Galgotias University, Greater Noida, 201310, Uttar Pradesh, India.
Sathvik Belagodu SridharRAK College of Pharmacy, RAK Medical & Health Sciences University, Ras Al Khaimah, 11172, United Arab Emirates.
Tarun WadhwaRAK College of Pharmacy, RAK Medical & Health Sciences University, Ras Al Khaimah, 11172, United Arab Emirates.
Javedh ShareefRAK College of Pharmacy, RAK Medical & Health Sciences University, Ras Al Khaimah, 11172, United Arab Emirates.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Internet of Things (IoT) connects smart devices to enable automation and data exchange. IoT is rapidly transforming the healthcare industry. Understanding of the framework and challenges of IoT is essential for effective implementation. This review explores the advances in IoT technology in orthopaedic surgery and rehabilitation. A comprehensive literature search was conducted by the author using databases such as PubMed, Scopus, and Google Scholar. Relevant peer-reviewed articles published between 2010 and 2024 were preferred based on their focus on IoT applications in orthopaedic surgery, rehabilitation, and assistive technologies. Keywords including "Internet of Things," "orthopaedic rehabilitation," "wearable sensors," and "smart health monitoring" were used. Studies were analysed to identify current trends, clinical relevance, and future opportunities in IoT-driven orthopaedic care. The reviewed studies demonstrate that IoT technologies, such as wearable motion sensors, smart implants, real-time rehabilitation platforms, and AI-powered analytics, have significantly improved orthopaedic surgical outcomes and patient recovery. These systems enable continuous monitoring, early complication detection, and adaptive rehabilitation. However, challenges persist in data security, device interoperability, user compliance, and standardisation across platforms. IoT holds great promise in enhancing orthopaedic surgery and rehabilitation by enabling real-time monitoring and personalised care. Moving forward, clinical validation, user-friendly designs, and strong data security will be key to its successful integration in routine practice.

Indexed as

Biosensing techniquesCloud computingInteroperabilityOrthopaedicsSmart implants

Identifiers

PMID40687746
PMCPMC12268194

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.