Matches in SemOpenAlex for { <https://semopenalex.org/work/W2916559661> ?p ?o ?g. }
Showing items 1 to 98 of
98
with 100 items per page.
- W2916559661 endingPage "81" @default.
- W2916559661 startingPage "73" @default.
- W2916559661 abstract "The term Artificial Intelligence (AI) was coined by John McCarthy in 1956 during a conference held on this subject. However, the possibility of machines being able to simulate human behavior and actually think was raised earlier by Alan Turing who developed the Turing test in order to differentiate humans from machines. Since then, computational power has grown to the point of instant calculations and the ability evaluate new data, according to previously assessed data, in real time. Today, AI is integrated into our daily lives in many forms, such as personal assistants (Siri, Alexa, Google assistant etc.), automated mass transportation, aviation and computer gaming. More recently, AI has also begun to be incorporated into medicine to improve patient care by speeding up processes and achieving greater accuracy, opening the path to providing better healthcare overall. Radiological images, pathology slides, and patients' electronic medical records (EMR) are being evaluated by machine learning, aiding in the process of diagnosis and treatment of patients and augmenting physicians' capabilities. Herein we describe the current status of AI in medicine, the way it is used in the different disciplines and future trends." @default.
- W2916559661 created "2019-03-02" @default.
- W2916559661 creator A5024559200 @default.
- W2916559661 creator A5056117034 @default.
- W2916559661 date "2019-02-27" @default.
- W2916559661 modified "2023-10-18" @default.
- W2916559661 title "Introduction to artificial intelligence in medicine" @default.
- W2916559661 cites W1213581300 @default.
- W2916559661 cites W1874293710 @default.
- W2916559661 cites W1969678022 @default.
- W2916559661 cites W1982123972 @default.
- W2916559661 cites W1992579055 @default.
- W2916559661 cites W1997502358 @default.
- W2916559661 cites W2001771035 @default.
- W2916559661 cites W2006217757 @default.
- W2916559661 cites W2068084886 @default.
- W2916559661 cites W2081278479 @default.
- W2916559661 cites W2138480916 @default.
- W2916559661 cites W2153793668 @default.
- W2916559661 cites W2165470797 @default.
- W2916559661 cites W2171468379 @default.
- W2916559661 cites W2514628397 @default.
- W2916559661 cites W2518582440 @default.
- W2916559661 cites W2551092483 @default.
- W2916559661 cites W2555734295 @default.
- W2916559661 cites W2557738935 @default.
- W2916559661 cites W2565861041 @default.
- W2916559661 cites W2581082771 @default.
- W2916559661 cites W2591746411 @default.
- W2916559661 cites W2600960295 @default.
- W2916559661 cites W2613210177 @default.
- W2916559661 cites W2725984455 @default.
- W2916559661 cites W2731422065 @default.
- W2916559661 cites W2769604672 @default.
- W2916559661 cites W2772723798 @default.
- W2916559661 cites W2773615652 @default.
- W2916559661 cites W2783063799 @default.
- W2916559661 cites W2796925382 @default.
- W2916559661 cites W2797069348 @default.
- W2916559661 cites W2803176146 @default.
- W2916559661 cites W2807121762 @default.
- W2916559661 cites W2810024032 @default.
- W2916559661 cites W2899876413 @default.
- W2916559661 cites W2919115771 @default.
- W2916559661 doi "https://doi.org/10.1080/13645706.2019.1575882" @default.
- W2916559661 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30810430" @default.
- W2916559661 hasPublicationYear "2019" @default.
- W2916559661 type Work @default.
- W2916559661 sameAs 2916559661 @default.
- W2916559661 citedByCount "236" @default.
- W2916559661 countsByYear W29165596612019 @default.
- W2916559661 countsByYear W29165596612020 @default.
- W2916559661 countsByYear W29165596612021 @default.
- W2916559661 countsByYear W29165596612022 @default.
- W2916559661 countsByYear W29165596612023 @default.
- W2916559661 crossrefType "journal-article" @default.
- W2916559661 hasAuthorship W2916559661A5024559200 @default.
- W2916559661 hasAuthorship W2916559661A5056117034 @default.
- W2916559661 hasConcept C111919701 @default.
- W2916559661 hasConcept C154945302 @default.
- W2916559661 hasConcept C157170001 @default.
- W2916559661 hasConcept C199360897 @default.
- W2916559661 hasConcept C2522767166 @default.
- W2916559661 hasConcept C41008148 @default.
- W2916559661 hasConcept C577917 @default.
- W2916559661 hasConcept C98045186 @default.
- W2916559661 hasConcept C9870796 @default.
- W2916559661 hasConceptScore W2916559661C111919701 @default.
- W2916559661 hasConceptScore W2916559661C154945302 @default.
- W2916559661 hasConceptScore W2916559661C157170001 @default.
- W2916559661 hasConceptScore W2916559661C199360897 @default.
- W2916559661 hasConceptScore W2916559661C2522767166 @default.
- W2916559661 hasConceptScore W2916559661C41008148 @default.
- W2916559661 hasConceptScore W2916559661C577917 @default.
- W2916559661 hasConceptScore W2916559661C98045186 @default.
- W2916559661 hasConceptScore W2916559661C9870796 @default.
- W2916559661 hasIssue "2" @default.
- W2916559661 hasLocation W29165596611 @default.
- W2916559661 hasLocation W29165596612 @default.
- W2916559661 hasOpenAccess W2916559661 @default.
- W2916559661 hasPrimaryLocation W29165596611 @default.
- W2916559661 hasRelatedWork W1003561713 @default.
- W2916559661 hasRelatedWork W1551050533 @default.
- W2916559661 hasRelatedWork W1602556653 @default.
- W2916559661 hasRelatedWork W2212742531 @default.
- W2916559661 hasRelatedWork W2251367917 @default.
- W2916559661 hasRelatedWork W2495856924 @default.
- W2916559661 hasRelatedWork W2979955985 @default.
- W2916559661 hasRelatedWork W4221165489 @default.
- W2916559661 hasRelatedWork W4232007423 @default.
- W2916559661 hasRelatedWork W3201617206 @default.
- W2916559661 hasVolume "28" @default.
- W2916559661 isParatext "false" @default.
- W2916559661 isRetracted "false" @default.
- W2916559661 magId "2916559661" @default.
- W2916559661 workType "article" @default.