Promises, Pitfalls, and Clinical Applications of Artificial Intelligence in Pediatrics

Artificial intelligence (AI) broadly describes a branch of computer science focused on developing machines capable of performing tasks typically associated with human intelligence. Those who connect AI with the world of science fiction may meet its growing rise with hesitancy or outright...

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Main Authors: Hansa Bhargava, Carmela Salomon, Srinivasan Suresh, Anthony Chang, Rachel Kilian, Diana van Stijn, Albert Oriol, Daniel Low, Ashley Knebel, Sharief Taraman
格式: 文件
语言:English
出版: JMIR Publications 2024-02-01
丛编:Journal of Medical Internet Research
在线阅读:https://www.jmir.org/2024/1/e49022
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author Hansa Bhargava
Carmela Salomon
Srinivasan Suresh
Anthony Chang
Rachel Kilian
Diana van Stijn
Albert Oriol
Daniel Low
Ashley Knebel
Sharief Taraman
author_facet Hansa Bhargava
Carmela Salomon
Srinivasan Suresh
Anthony Chang
Rachel Kilian
Diana van Stijn
Albert Oriol
Daniel Low
Ashley Knebel
Sharief Taraman
author_sort Hansa Bhargava
collection DOAJ
description Artificial intelligence (AI) broadly describes a branch of computer science focused on developing machines capable of performing tasks typically associated with human intelligence. Those who connect AI with the world of science fiction may meet its growing rise with hesitancy or outright skepticism. However, AI is becoming increasingly pervasive in our society, from algorithms helping to sift through airline fares to substituting words in emails and SMS text messages based on user choices. Data collection is ongoing and is being leveraged by software platforms to analyze patterns and make predictions across multiple industries. Health care is gradually becoming part of this technological transformation, as advancements in computational power and storage converge with the rapid expansion of digitized medical information. Given the growing and inevitable integration of AI into health care systems, it is our viewpoint that pediatricians urgently require training and orientation to the uses, promises, and pitfalls of AI in medicine. AI is unlikely to solve the full array of complex challenges confronting pediatricians today; however, if used responsibly, it holds great potential to improve many aspects of care for providers, children, and families. Our aim in this viewpoint is to provide clinicians with a targeted introduction to the field of AI in pediatrics, including key promises, pitfalls, and clinical applications, so they can play a more active role in shaping the future impact of AI in medicine.
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spelling doaj.art-3fed157d9031438f8e71c36be1f8c36e2024-02-29T16:00:30ZengJMIR PublicationsJournal of Medical Internet Research1438-88712024-02-0126e4902210.2196/49022Promises, Pitfalls, and Clinical Applications of Artificial Intelligence in PediatricsHansa Bhargavahttps://orcid.org/0009-0001-2785-3930Carmela Salomonhttps://orcid.org/0000-0003-2662-4308Srinivasan Sureshhttps://orcid.org/0000-0003-1717-7593Anthony Changhttps://orcid.org/0000-0003-4380-5151Rachel Kilianhttps://orcid.org/0000-0002-5857-0845Diana van Stijnhttps://orcid.org/0000-0002-4179-9950Albert Oriolhttps://orcid.org/0000-0002-5236-950XDaniel Lowhttps://orcid.org/0000-0003-1822-2165Ashley Knebelhttps://orcid.org/0000-0002-6405-8573Sharief Taramanhttps://orcid.org/0000-0003-2108-2490 Artificial intelligence (AI) broadly describes a branch of computer science focused on developing machines capable of performing tasks typically associated with human intelligence. Those who connect AI with the world of science fiction may meet its growing rise with hesitancy or outright skepticism. However, AI is becoming increasingly pervasive in our society, from algorithms helping to sift through airline fares to substituting words in emails and SMS text messages based on user choices. Data collection is ongoing and is being leveraged by software platforms to analyze patterns and make predictions across multiple industries. Health care is gradually becoming part of this technological transformation, as advancements in computational power and storage converge with the rapid expansion of digitized medical information. Given the growing and inevitable integration of AI into health care systems, it is our viewpoint that pediatricians urgently require training and orientation to the uses, promises, and pitfalls of AI in medicine. AI is unlikely to solve the full array of complex challenges confronting pediatricians today; however, if used responsibly, it holds great potential to improve many aspects of care for providers, children, and families. Our aim in this viewpoint is to provide clinicians with a targeted introduction to the field of AI in pediatrics, including key promises, pitfalls, and clinical applications, so they can play a more active role in shaping the future impact of AI in medicine.https://www.jmir.org/2024/1/e49022
spellingShingle Hansa Bhargava
Carmela Salomon
Srinivasan Suresh
Anthony Chang
Rachel Kilian
Diana van Stijn
Albert Oriol
Daniel Low
Ashley Knebel
Sharief Taraman
Promises, Pitfalls, and Clinical Applications of Artificial Intelligence in Pediatrics
Journal of Medical Internet Research
title Promises, Pitfalls, and Clinical Applications of Artificial Intelligence in Pediatrics
title_full Promises, Pitfalls, and Clinical Applications of Artificial Intelligence in Pediatrics
title_fullStr Promises, Pitfalls, and Clinical Applications of Artificial Intelligence in Pediatrics
title_full_unstemmed Promises, Pitfalls, and Clinical Applications of Artificial Intelligence in Pediatrics
title_short Promises, Pitfalls, and Clinical Applications of Artificial Intelligence in Pediatrics
title_sort promises pitfalls and clinical applications of artificial intelligence in pediatrics
url https://www.jmir.org/2024/1/e49022
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