Knowledge, perceptions and behaviours of endoscopists towards the use of artificial intelligence-aided colonoscopy

Tham, Sarah; Koh, Frederick H.; Tan, Winson J.; Sivarajah, Sharmini S.; Ho, Leonard M. L.; Ng, Jia-Lin; Koh, Frederick H.; Chong, Cheryl; Aw, Darius; Kam, Juinn-Haur; Tan, Alvin Y. H.; Tan, Choon-Chieh; Yeung, Baldwin P. M.; Wong, Wai-Keong; Toh, Bin-Chet; Ladlad, Jasmine; Barco, Jason; Chue, Koy-Min; Leong, Faith; Kong, Christopher; Lin, Cui-Li; Teo, Eng-Kiong; Ng, Yi-Kang; Tey, Tze-Tong; De-Roza, Marianne A.; Lum, Jonathan; Li, Xiaoke; Li, Jinliang; Mohd-Nor, Nazeemah B.; Ng, Siok-Peng; Teo, Eng-Kiong; Lin, Cui-Li; Foo, Fung-Joon; ,

doi:10.1007/s00464-023-10412-3

Cited by 2 publications

References 15 publications

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Il ruolo dell’intelligenza artificiale nella gastroenterologia - Already changing the game!

Heinrich,

Bauerfeind

2023

Schweiz. Gastroenterol.

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ZusammenfassungDie Artifizielle Intelligenz (AI) wird oft als Zukunftsmusik abgetan – dabei verändert sie bereits zum jetzigen Zeitpunkt die Gegenwart vieler Gastroenterolog/innen. Die beiden prominentesten Beispiele sind der Einsatz einer AI im Bereich der Polypendetektion bei der Vorsorgekoloskopie und die Veränderungen, die die Verwendung von ChatGPT im Bereich der Administration und Patientenversorgung mit sich bringt.In vielen anderen Bereichen wie der Diagnostik des Barrettkarzinomes oder bei der Klassifizierung von Pankreaszysten wird die AI in Zukunft die diagnostischen Fähigkeiten von Gastroenterolog/innen verbessern. Offene Fragen bleiben in Bezug auf die Sichtweise des Patienten auf den Einsatz dieser neuen Techniken und den Einsatz der AI in der Ausbildung und Lehre.

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Il ruolo dell’intelligenza artificiale nella gastroenterologia - Already changing the game!

Heinrich,

Bauerfeind

2023

Schweiz. Gastroenterol.

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Artificial Intelligence and Machine Learning in Healthcare

Sarkar,

Goel

2024

Biomedical Research Developments for Improved Healthcare

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Artificial intelligence (AI) systems are systems designed by humans that, given a complex goal, act in the physical or digital dimension by perceiving their environment through data acquisition, interpreting the collected structured or unstructured data, reasoning on the knowledge, or processing the information, derived from this data and deciding the best action(s) to take to achieve the given goal. It is precisely AI's ability to carry out speedy processing and analysis of datasets that is one of its key strengths. The recent renaissance in AI largely has been driven by the successful application of deep learning — which involves training an artificial neural network with many layers (that is, a ‘deep' neural network) on huge datasets. The rise and dissemination of AI in clinical medicine will refine our diagnostic accuracy and rule-out capabilities. In this Book Chapter, we focus on the AI applications that could augment or change clinical practice, identify the impact arising from the development of AI diagnostic systems and suggest future research directions.

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Knowledge, perceptions and behaviours of endoscopists towards the use of artificial intelligence-aided colonoscopy

Cited by 2 publications

References 15 publications

Il ruolo dell’intelligenza artificiale nella gastroenterologia - Already changing the game!

Il ruolo dell’intelligenza artificiale nella gastroenterologia - Already changing the game!

Artificial Intelligence and Machine Learning in Healthcare

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