Toward Personalizing Healthcare With AI

The claim that artificial intelligence (AI) is the biggest breakthrough in medicine is not altogether an exaggeration. In this brief note we describe a few trends and speculate on a future path of AI in the healthcare sector. Since AI depends on data, growth in wearable devices or “medical IoT”<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup><sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup>Sometimes “wellness IoT” or “monitoring IoT” have been fueling AI and its applications to medicine. Incessant growth brought new taxonomy; little has been standardized and we use terms which are likely to be changed as the industry matures. Its proliferation brings a plethora of risks associated with data acquired by IoT; risks include data breaches, denial of service attacks, ransomware, etc.

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Published
2024-09-30
DOI
https://doi.org/10.1109/aixset62544.2024.00036
Primary Topic
Artificial Intelligence in Healthcare
Type
article
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article

Toward Personalizing Healthcare With AI

Fabio Persia, Joseph R. Barr, Jon C. Haass, Daniela D’Auria
Artificial Intelligence in Healthcare
article

Toward Personalizing Healthcare With AI

Fabio Persia, Joseph R. Barr, Jon C. Haass, Daniela D’Auria
article en

Abstract

The claim that artificial intelligence (AI) is the biggest breakthrough in medicine is not altogether an exaggeration. In this brief note we describe a few trends and speculate on a future path of AI in the healthcare sector. Since AI depends on data, growth in wearable devices or “medical IoT”<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup><sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup>Sometimes “wellness IoT” or “monitoring IoT” have been fueling AI and its applications to medicine. Incessant growth brought new taxonomy; little has been standardized and we use terms which are likely to be changed as the industry matures. Its proliferation brings a plethora of risks associated with data acquired by IoT; risks include data breaches, denial of service attacks, ransomware, etc.

University of L'Aquila (IT), University of Milano-Bicocca (IT), Embry–Riddle Aeronautical University (US)
Openalex Percentile: Top 69%
Artificial Intelligence in Healthcare
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Toward Personalizing Healthcare With AI — Fabio Persia, Joseph R. Barr, et al. · (2024) | TGRS Research Map | TGRS