Analyzing Failures and Challenges in Oncology: Integration of Artificial Intelligence in Healthcare

Year : 2024 | Volume :13 | Issue : 01 | Page : 42-50
By

    Sudha

  1. Jayashri K

  1. Assistant Professor, Shri Shankarlal Sundarbai Shasun Jain College for Women, Tamil Nadu, India
  2. Student, Shri Shankarlal Sundarbai Shasun Jain College for Women, Tamil Nadu, India

Abstract

The present study focused on investigating the challenges and failures that had been embarked during the deployment of artificial intelligence technologies within the field of oncology in healthcare. Through precise research and statistical analysis, we aimed to elucidate the specific circumstances surrounding each failure, providing insights into the root causes, consequences, and subsequent developments. The present study was aimed to offer a detailed understanding of the challenges faced through artificial intelligence in healthcare. The primary objectives included identifying common patterns and root causes of the failed tech, assessing the impact on patient care, and exploring potential solutions to mitigate risks and successful integration of artificial intelligence in oncology. The outcomes derived from our study were focused at fostering a more knowledgeable and resilient incorporation of artificial intelligence, emphasizing advancements that prioritize ethical concerns. By doing so, we aspire to catalyze improvements in healthcare outcomes through the conscientious and thoughtful integration of artificial intelligence technologies.

Keywords: artificial intelligence, oncology, challenges, robust, ethical, deployment

[This article belongs to Research & Reviews: Journal of Oncology and Hematology(rrjooh)]

How to cite this article: Sudha, Jayashri K.Analyzing Failures and Challenges in Oncology: Integration of Artificial Intelligence in Healthcare.Research & Reviews: Journal of Oncology and Hematology.2024; 13(01):42-50.
How to cite this URL: Sudha, Jayashri K , Analyzing Failures and Challenges in Oncology: Integration of Artificial Intelligence in Healthcare rrjooh 2024 {cited 2024 Apr 20};13:42-50. Available from: https://journals.stmjournals.com/rrjooh/article=2024/view=143837


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Regular Issue Subscription Review Article
Volume 13
Issue 01
Received January 20, 2024
Accepted March 1, 2024
Published April 20, 2024
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