Evidence map›Paper›PMID 28018743›Full record

ArticleBiomedical optics express2016

Smartphone-based multispectral imaging: system development and potential for mobile skin diagnosis.

Sewoong Kim, Dongrae Cho, Jihun Kim, Manjae Kim, Sangyeon Youn, Jae Eun Jang, Minkyu Je, Dong Hun Lee, Boreom Lee, Daniel L Farkas and 1 more

Abstract read
In one paragraph

Article in Biomedical optics express, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

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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

11 authors.

Sewoong KimDepartment of Information and Communication Engineering, Daegu Gyeongbuk Institute of Science & Technology, Daegu, 42988, South Korea.
Dongrae ChoDepartment of Biomedical Science and Engineering, Gwangju Institute of Science & Technology, Gwangju, 61005, South Korea.
Jihun KimDepartment of Information and Communication Engineering, Daegu Gyeongbuk Institute of Science & Technology, Daegu, 42988, South Korea.
Manjae KimDepartment of Information and Communication Engineering, Daegu Gyeongbuk Institute of Science & Technology, Daegu, 42988, South Korea.
Sangyeon YounDepartment of Information and Communication Engineering, Daegu Gyeongbuk Institute of Science & Technology, Daegu, 42988, South Korea.
Jae Eun JangDepartment of Information and Communication Engineering, Daegu Gyeongbuk Institute of Science & Technology, Daegu, 42988, South Korea.
Minkyu JeDepartment of Electrical Engineering, Korea Advanced Institute of Science & Technology, Daejeon, 34141, South Korea.
Dong Hun LeeDepartment of Dermatology, Seoul National University, Seoul, 03080, South Korea.
Boreom LeeDepartment of Biomedical Science and Engineering, Gwangju Institute of Science & Technology, Gwangju, 61005, South Korea.
Daniel L FarkasSpectral Molecular Imaging, Inc., California 90211, USA; Department of Biomedical Engineering, University of Southern California, California 90089, USA.
Jae Youn HwangDepartment of Information and Communication Engineering, Daegu Gyeongbuk Institute of Science & Technology, Daegu, 42988, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigate the potential of mobile smartphone-based multispectral imaging for the quantitative diagnosis and management of skin lesions. Recently, various mobile devices such as a smartphone have emerged as healthcare tools. They have been applied for the early diagnosis of nonmalignant and malignant skin diseases. Particularly, when they are combined with an advanced optical imaging technique such as multispectral imaging and analysis, it would be beneficial for the early diagnosis of such skin diseases and for further quantitative prognosis monitoring after treatment at home. Thus, we demonstrate here the development of a smartphone-based multispectral imaging system with high portability and its potential for mobile skin diagnosis. The results suggest that smartphone-based multispectral imaging and analysis has great potential as a healthcare tool for quantitative mobile skin diagnosis.

Indexed as

(110.4234) Multispectral and hyperspectral imaging(170.1870) Dermatology

Identifiers

PMID28018743
PMCPMC5175570

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.