Chatbot for Health Care and Oncology Applications Using Artificial Intelligence and Machine Learning: Systematic Review

289 indexed citations
published 2021

Countries where authors are citing Chatbot for Health Care and Oncology Applications Using Artificial Intelligence and Machine Learning: Systematic Review

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Fields of papers citing Chatbot for Health Care and Oncology Applications Using Artificial Intelligence and Machine Learning: Systematic Review

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Chatbot for Health Care and Oncology Applications Using Artificial Intelligence and Machine Learning: Systematic Review. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Chatbot for Health Care and Oncology Applications Using Artificial Intelligence and Machine Learning: Systematic Review.

About Chatbot for Health Care and Oncology Applications Using Artificial Intelligence and Machine Learning: Systematic Review

This paper, published in 2021, received 289 indexed citations . Written by Lu Xu, Leslie Sanders, Kay Li and James C. L. Chow covering the research area of Health Informatics, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. It is primarily cited by scholars working on Artificial Intelligence (135 citations), Health Informatics (135 citations) and Radiology, Nuclear Medicine and Imaging (74 citations). Published in JMIR Cancer.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

This paper is also available at doi.org/10.2196/27850.

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