Evidence map›Paper›PMID 39988783›Full record

ReviewCNS & neurological disorders drug targets2025

Internet of Medical Things (IoMT) for Alzheimer Patient's Outcome.

Thangavel Lakshmipriya, Subash C B Gopinath

Abstract readReview
PubMed Publisher
In one paragraph

Review in CNS & neurological disorders drug targets, 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

2 authors.

Thangavel LakshmipriyaCenter for Global Health Research, Saveetha Medical College & Hospital, Saveetha Institute of Medical and Technical Sciences, Chennai 602105, Tamil Nadu, India.
Subash C B GopinathFaculty of Chemical Engineering & Technology, Universiti Malaysia Perlis, 02600 Arau, Perlis, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Internet of Medical Things (IoMT) is a network system that connects devices with medical and healthcare for the ultimate aim of collecting, transmitting, and analyzing the acquired data in the presence of the internet. A wide range of equipment and monitoring systems have been generated with IoMT, and they permit real-time monitoring, sharing the data, analysis, patient care, and for efficient operation. At the advanced level, it is highly facilitated with remote patient digital monitoring and telemedicine. IoMT has a significant potential to enhance the care of Alzheimer's disease patients to overcome issues with a progressive neurological condition, memory loss, cognition, and behavior. This study aims to bring the potential of the Internet of Things (IoT) to be implemented in the Internet of Medical Things (IoMT), with a special focus on Alzheimer's disease patients.

Indexed as

Alzheimer DiseaseInternet of ThingsHumansTelemedicineAlzheimer’s diseaseamyloid betabrain disorderdeep learning.dementiaInternet of medical things

Identifiers

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.