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A Perspective from a Case Conference on Comparing the Diagnostic Process: Human Diagnostic Thinking vs. Artificial Intelligence (AI) Decision Support Tools
Artificial intelligence (AI) has made great contributions to the healthcare industry. However, its effect on medical diagnosis has not been well explored. Here, we examined a trial comparing the thinking process between a computer and a master in diagnosis at a clinical conference in Japan, with a f...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7504543/ https://www.ncbi.nlm.nih.gov/pubmed/32842581 http://dx.doi.org/10.3390/ijerph17176110 |
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author | Harada, Taku Shimizu, Taro Kaji, Yuki Suyama, Yasuhiro Matsumoto, Tomohiro Kosaka, Chintaro Shimizu, Hidefumi Nei, Takatoshi Watanuki, Satoshi |
author_facet | Harada, Taku Shimizu, Taro Kaji, Yuki Suyama, Yasuhiro Matsumoto, Tomohiro Kosaka, Chintaro Shimizu, Hidefumi Nei, Takatoshi Watanuki, Satoshi |
author_sort | Harada, Taku |
collection | PubMed |
description | Artificial intelligence (AI) has made great contributions to the healthcare industry. However, its effect on medical diagnosis has not been well explored. Here, we examined a trial comparing the thinking process between a computer and a master in diagnosis at a clinical conference in Japan, with a focus on general diagnosis. Consequently, not only was AI unable to exhibit its thinking process, it also failed to include the final diagnosis. The following issues were highlighted: (1) input information to AI could not be weighted in order of importance for diagnosis; (2) AI could not deal with comorbidities (see Hickam’s dictum); (3) AI was unable to consider the timeline of the illness (depending on the tool); (4) AI was unable to consider patient context; (5) AI could not obtain input information by themselves. This comparison of the thinking process uncovered a future perspective on the use of diagnostic support tools. |
format | Online Article Text |
id | pubmed-7504543 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75045432020-09-24 A Perspective from a Case Conference on Comparing the Diagnostic Process: Human Diagnostic Thinking vs. Artificial Intelligence (AI) Decision Support Tools Harada, Taku Shimizu, Taro Kaji, Yuki Suyama, Yasuhiro Matsumoto, Tomohiro Kosaka, Chintaro Shimizu, Hidefumi Nei, Takatoshi Watanuki, Satoshi Int J Environ Res Public Health Perspective Artificial intelligence (AI) has made great contributions to the healthcare industry. However, its effect on medical diagnosis has not been well explored. Here, we examined a trial comparing the thinking process between a computer and a master in diagnosis at a clinical conference in Japan, with a focus on general diagnosis. Consequently, not only was AI unable to exhibit its thinking process, it also failed to include the final diagnosis. The following issues were highlighted: (1) input information to AI could not be weighted in order of importance for diagnosis; (2) AI could not deal with comorbidities (see Hickam’s dictum); (3) AI was unable to consider the timeline of the illness (depending on the tool); (4) AI was unable to consider patient context; (5) AI could not obtain input information by themselves. This comparison of the thinking process uncovered a future perspective on the use of diagnostic support tools. MDPI 2020-08-22 2020-09 /pmc/articles/PMC7504543/ /pubmed/32842581 http://dx.doi.org/10.3390/ijerph17176110 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Perspective Harada, Taku Shimizu, Taro Kaji, Yuki Suyama, Yasuhiro Matsumoto, Tomohiro Kosaka, Chintaro Shimizu, Hidefumi Nei, Takatoshi Watanuki, Satoshi A Perspective from a Case Conference on Comparing the Diagnostic Process: Human Diagnostic Thinking vs. Artificial Intelligence (AI) Decision Support Tools |
title | A Perspective from a Case Conference on Comparing the Diagnostic Process: Human Diagnostic Thinking vs. Artificial Intelligence (AI) Decision Support Tools |
title_full | A Perspective from a Case Conference on Comparing the Diagnostic Process: Human Diagnostic Thinking vs. Artificial Intelligence (AI) Decision Support Tools |
title_fullStr | A Perspective from a Case Conference on Comparing the Diagnostic Process: Human Diagnostic Thinking vs. Artificial Intelligence (AI) Decision Support Tools |
title_full_unstemmed | A Perspective from a Case Conference on Comparing the Diagnostic Process: Human Diagnostic Thinking vs. Artificial Intelligence (AI) Decision Support Tools |
title_short | A Perspective from a Case Conference on Comparing the Diagnostic Process: Human Diagnostic Thinking vs. Artificial Intelligence (AI) Decision Support Tools |
title_sort | perspective from a case conference on comparing the diagnostic process: human diagnostic thinking vs. artificial intelligence (ai) decision support tools |
topic | Perspective |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7504543/ https://www.ncbi.nlm.nih.gov/pubmed/32842581 http://dx.doi.org/10.3390/ijerph17176110 |
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