Revolutionizing Healthcare: The Impact of Artificial Intelligence on Precision Diagnoses and Patient Outcomes

Artificial Intelligence (AI) has reached a level of precision comparable to human expertise in the medical field, utilizing sophisticated algorithms for intricate imaging calculations that identify abnormalities and enhance clinical outcomes. The integration of AI in healthcare is transforming the ideal system by improving diagnostic accuracy, particularly in low-income countries where AI-driven robots hold promise for addressing global health challenges. This convergence of machine capabilities is revolutionizing healthcare culture, with AI modules focused on image acquisition and machine learning playing a pivotal role in advancing practices. These technologies not only facilitate public access to digital consultations through wearable's but also provide a practical alternative to frequent hospital visits. Recent research emphasizes the promising potential of AI modules in addressing mental disorders, diagnosing respiratory diseases, and early identification of chronic and potentially fatal conditions such as cancer. The rapid expansion of AI modules is not only increasing survival rates but is also significantly enhancing the overall quality of treatment.

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Publication Details

Published
2024-12-13
DOI
https://doi.org/10.1109/mpcit62449.2024.10892672
Primary Topic
Machine Learning in Healthcare
Type
article
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article

Revolutionizing Healthcare: The Impact of Artificial Intelligence on Precision Diagnoses and Patient Outcomes

Ananya Sahoo, Phani Kumar Pullela, N. Suresh
Machine Learning in Healthcare
article

Revolutionizing Healthcare: The Impact of Artificial Intelligence on Precision Diagnoses and Patient Outcomes

Ananya Sahoo, Phani Kumar Pullela, N. Suresh
article en

Abstract

Artificial Intelligence (AI) has reached a level of precision comparable to human expertise in the medical field, utilizing sophisticated algorithms for intricate imaging calculations that identify abnormalities and enhance clinical outcomes. The integration of AI in healthcare is transforming the ideal system by improving diagnostic accuracy, particularly in low-income countries where AI-driven robots hold promise for addressing global health challenges. This convergence of machine capabilities is revolutionizing healthcare culture, with AI modules focused on image acquisition and machine learning playing a pivotal role in advancing practices. These technologies not only facilitate public access to digital consultations through wearable's but also provide a practical alternative to frequent hospital visits. Recent research emphasizes the promising potential of AI modules in addressing mental disorders, diagnosing respiratory diseases, and early identification of chronic and potentially fatal conditions such as cancer. The rapid expansion of AI modules is not only increasing survival rates but is also significantly enhancing the overall quality of treatment.

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Machine Learning in Healthcare
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Revolutionizing Healthcare: The Impact of Artificial Intelligence on Precision Diagnoses and Patient Outcomes — Ananya Sahoo, Phani Kumar Pullela, et al. · (2024) | TGRS Research Map | TGRS