Endoneering: A new perspective for basic research in gastrointestinal endoscopy

Meining, Alexander

doi:10.1177/2050640620913433

Cited by 9 publications

(14 citation statements)

References 11 publications

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“…Therefore, the endoscopy community should definitely attempt to get involved in the development and testing phases on a continuous basis and at an early stage. Institutional support and dedicated funding for a closer interaction would certainly help toward the establishment of what has already been coined as "endoneering" [16].…”

Section: How To Develop and Test Artificial Intelligence Systems -Clinical Contributions To Preclinical Aimentioning

confidence: 99%

Artificial intelligence in GI endoscopy: stumbling blocks, gold standards and the role of endoscopy societies

Schmitz

Werner

Repici

et al. 2021

Gut

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Recent developments in artificial intelligence and machine learning have led to novel and promising applications in gastrointestinal endoscopy and beyond. Endoscopic AI has already become a topic of intensive research and marketing, and a recent review in this journal is a timely and thorough guide that defines terminology and outlines best practices for the development and assessment of AI systems. Our commentary highlights selected aspects of AI research and elaborates upon potential roles that the GI scientific community and professional societies may play in ensuring that the preclinical achievements translate into clinical reality. We believe that: Databases of diagnostic AI software need to be made transparent as should the conditions of the testing scenarios. Clinical expertise is required from the early phases of system development and testing. Medicolegal implications need to be clarified as AI gets increasingly involved in medical decision making. Finally, through the establishment of a continuously updated and curated, dedicated database for AI system evaluation ("rolling gold standard"), the GI societies could actively advance and frame this everchanging field.

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Section: How To Develop and Test Artificial Intelligence Systems -Clinical Contributions To Preclinical Aimentioning

confidence: 99%

Artificial intelligence in GI endoscopy: stumbling blocks, gold standards and the role of endoscopy societies

Schmitz

Werner

Repici

et al. 2021

Gut

Self Cite

View full text Add to dashboard Cite

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“…As gastroenterologists in training, we read with great interest the relevant editorial by Alexander Meining. 1 We recognize his insights and agree that the interplay between gastroenterologists and engineers has been absolutely slow. We completely appreciate that gastroenterologists have traditionally been simply adopters of engineering solutions presented to them without a full understanding of the developmental process.…”

mentioning

confidence: 93%

“…As gastroenterologists in training, we read with great interest the relevant editorial by Alexander Meining 1 . We recognize his insights and agree that the interplay between gastroenterologists and engineers has been absolutely slow.…”

mentioning

confidence: 98%

Gastroenterologists as future engineers: progress is being made

Perez

Sharma

2020

UEG Journal

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“…This establishes an important role in laying the path towards implementation that other AI algorithms may follow. Future advances will be driven by those with both clinical expertise and technological understanding 12 . There is still work to be done, in particular multi‐centre, international RCTs, tailored regulatory frameworks and a method of reimbursement, but the widespread clinical implementation of our first AI algorithms is inching ever closer.…”

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confidence: 99%

“…Future advances will be driven by those with both clinical expertise and technological understanding. 12 There is still work to be done, in particular multi-centre, international RCTs, tailored regulatory © 2021 The Authors. United European Gastroenterology Journal published by Wiley Periodicals LLC.…”

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confidence: 99%