BioGames: A Platform for Crowd-Sourced Biomedical Image Analysis and Telediagnosis

Mavandadi, Sam; Feng, Steve; Yu, Frank; Dimitrov, Stoyan; Yu, Richard; Özcan, Aydogan

doi:10.1089/g4h.2012.0054

Cited by 24 publications

(21 citation statements)

References 14 publications

(20 reference statements)

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“…Already, interesting concepts are being proposed for how POC systems can be integrated with machine learning, such as the generation of a predictive model capable of assessing risks for heart attack and heart failure patients 64 . An intriguing (but less tested) approach for analyzing large sets of data is crowdsourcing 65 .…”

Section: The New Poc Ecosystemmentioning

confidence: 99%

Point-of-Care Diagnostics: Recent Developments in a Connected Age

et al. 2016

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Section: The New Poc Ecosystemmentioning

confidence: 99%

Point-of-Care Diagnostics: Recent Developments in a Connected Age

et al. 2016

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“…Crowdsourcing and gamification of microscopic identification of infectious agents, such as Plasmodium , has been investigated. (41-43) It is difficult to imagine this approach to telemicroscopy gaining traction in the current era of patient privacy vigilance and analyst credentialing requirements, but it is a novel contemporary approach to disease screening and diagnosis.…”

Section: Future Directionsmentioning

confidence: 99%

Review of Telemicrobiology

Rhoads¹,

Mathison²,

Bishop³

et al. 2015

Archives of Pathology &Amp; Laboratory Medicine

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Context Microbiology laboratories are continually pursuing means to improve quality, rapidity, and efficiency of specimen analysis in the face of limited resources. One means by which to achieve these improvements is through the remote analysis of digital images. Telemicrobiology enables the remote interpretation of images of microbiology specimens. To date, the practice of clinical telemicrobiology has not been thoroughly reviewed. Objective Identify the various methods that can be employed for telemicrobiology, including emerging technologies that may provide value to the clinical laboratory. Data Sources Peer-reviewed literature, conference proceedings, meeting presentations, and expert opinions pertaining to telemicrobiology have been evaluated. Results A number of modalities have been employed for telemicroscopy including static capture techniques, whole slide imaging, video telemicroscopy, mobile devices, and hybrid systems. Telemicrobiology has been successfully implemented for applications including routine primary diagnois, expert teleconsultation, and proficiency testing. Emerging areas include digital culture plate reading, mobile health applications and computer-augmented analysis of digital images. Conclusions Static image capture techniques to date have been the most widely used modality for telemicrobiology, despite the fact that other newer technologies are available and may produce better quality interpretations. Increased adoption of telemicrobiology offers added value, quality, and efficiency to the clinical microbiology laboratory.

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“…Our analysis included data not only for registered players, but also for anonymous players because both games support anonymous play. The DAU and MAU statistics for these two games are shown in Tables II and III. We also gathered data from the literature about several other CSSGs including EyeWire [2], Phylo [4], Foldit [10], and Malaria Training Game (MTG) [5]. The sizes of these additional data sets are shown in Table IV, and we will refer to this data in Section IV.…”

Section: A Data Setsmentioning

confidence: 99%

“…The creator of Phylo, a CSSG whose players solve puzzles to help find solutions to genetic disorders, reported obtaining a total of 254,485 completed puzzles (generated by ∼12,000 registered players) in the first seven months of deployment [4]. The Malaria Training Game (MTG), created for advancing the concept of tele-diagnosis of diseases, was able to screen more than 1.5 million red blood cell images for malaria infection in less than 4 months, with the help of 2,150 people from 77 countries [5]. Comparative studies are also applicable in some cases.…”

Section: Introductionmentioning

confidence: 99%

Whale of a crowd: Quantifying the effectiveness of crowd-sourced serious games

Tellioglu

Xie

Rohrer

et al. 2014

2014 Computer Games: AI, Animation, Mobile, Multimedia, Educational and Serious Games (CGAMES)

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Abstract-In this paper we analyze several Crowd-Sourced Serious Games (CSSGs), a new genre focused on advancing widely respected causes such as social equality and science. We observe that the general effectiveness of these games has remained largely unknown. Existing performance analyses have been limited to documenting experiences with individual systems. More importantly, existing game analytics approaches are designed for games that provide personal experience and entertainment. In contrast, CSSGs attract participants by evoking their sense of social responsibility and sympathy for others. Intuitively, social awareness and sympathy alone may not result in the same level of consistent participation as personal achievement, or fun. Consequently, the success of a CSSG may be more tightly linked to the contributions of few highly-dedicated players (whales).

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BioGames: A Platform for Crowd-Sourced Biomedical Image Analysis and Telediagnosis

Cited by 24 publications

References 14 publications

Point-of-Care Diagnostics: Recent Developments in a Connected Age

Point-of-Care Diagnostics: Recent Developments in a Connected Age

Review of Telemicrobiology

Whale of a crowd: Quantifying the effectiveness of crowd-sourced serious games

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