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Reimagining Healthcare: Unleashing the Power of Artificial Intelligence in Medicine

Artificial intelligence (AI) has opened new medical avenues and revolutionized diagnostic and therapeutic practices, allowing healthcare providers to overcome significant challenges associated with cost, disease management, accessibility, and treatment optimization. Prominent AI technologies such as...

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Detalles Bibliográficos
Autores principales: Iqbal, Javed, Cortés Jaimes, Diana Carolina, Makineni, Pallavi, Subramani, Sachin, Hemaida, Sarah, Thugu, Thanmai Reddy, Butt, Amna Naveed, Sikto, Jarin Tasnim, Kaur, Pareena, Lak, Muhammad Ali, Augustine, Monisha, Shahzad, Roheen, Arain, Mustafa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10549955/
https://www.ncbi.nlm.nih.gov/pubmed/37799217
http://dx.doi.org/10.7759/cureus.44658
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author Iqbal, Javed
Cortés Jaimes, Diana Carolina
Makineni, Pallavi
Subramani, Sachin
Hemaida, Sarah
Thugu, Thanmai Reddy
Butt, Amna Naveed
Sikto, Jarin Tasnim
Kaur, Pareena
Lak, Muhammad Ali
Augustine, Monisha
Shahzad, Roheen
Arain, Mustafa
author_facet Iqbal, Javed
Cortés Jaimes, Diana Carolina
Makineni, Pallavi
Subramani, Sachin
Hemaida, Sarah
Thugu, Thanmai Reddy
Butt, Amna Naveed
Sikto, Jarin Tasnim
Kaur, Pareena
Lak, Muhammad Ali
Augustine, Monisha
Shahzad, Roheen
Arain, Mustafa
author_sort Iqbal, Javed
collection PubMed
description Artificial intelligence (AI) has opened new medical avenues and revolutionized diagnostic and therapeutic practices, allowing healthcare providers to overcome significant challenges associated with cost, disease management, accessibility, and treatment optimization. Prominent AI technologies such as machine learning (ML) and deep learning (DL) have immensely influenced diagnostics, patient monitoring, novel pharmaceutical discoveries, drug development, and telemedicine. Significant innovations and improvements in disease identification and early intervention have been made using AI-generated algorithms for clinical decision support systems and disease prediction models. AI has remarkably impacted clinical drug trials by amplifying research into drug efficacy, adverse events, and candidate molecular design. AI’s precision and analysis regarding patients’ genetic, environmental, and lifestyle factors have led to individualized treatment strategies. During the COVID-19 pandemic, AI-assisted telemedicine set a precedent for remote healthcare delivery and patient follow-up. Moreover, AI-generated applications and wearable devices have allowed ambulatory monitoring of vital signs. However, apart from being immensely transformative, AI’s contribution to healthcare is subject to ethical and regulatory concerns. AI-backed data protection and algorithm transparency should be strictly adherent to ethical principles. Vigorous governance frameworks should be in place before incorporating AI in mental health interventions through AI-operated chatbots, medical education enhancements, and virtual reality-based training. The role of AI in medical decision-making has certain limitations, necessitating the importance of hands-on experience. Therefore, reaching an optimal balance between AI’s capabilities and ethical considerations to ensure impartial and neutral performance in healthcare applications is crucial. This narrative review focuses on AI’s impact on healthcare and the importance of ethical and balanced incorporation to make use of its full potential.
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spelling pubmed-105499552023-10-05 Reimagining Healthcare: Unleashing the Power of Artificial Intelligence in Medicine Iqbal, Javed Cortés Jaimes, Diana Carolina Makineni, Pallavi Subramani, Sachin Hemaida, Sarah Thugu, Thanmai Reddy Butt, Amna Naveed Sikto, Jarin Tasnim Kaur, Pareena Lak, Muhammad Ali Augustine, Monisha Shahzad, Roheen Arain, Mustafa Cureus Internal Medicine Artificial intelligence (AI) has opened new medical avenues and revolutionized diagnostic and therapeutic practices, allowing healthcare providers to overcome significant challenges associated with cost, disease management, accessibility, and treatment optimization. Prominent AI technologies such as machine learning (ML) and deep learning (DL) have immensely influenced diagnostics, patient monitoring, novel pharmaceutical discoveries, drug development, and telemedicine. Significant innovations and improvements in disease identification and early intervention have been made using AI-generated algorithms for clinical decision support systems and disease prediction models. AI has remarkably impacted clinical drug trials by amplifying research into drug efficacy, adverse events, and candidate molecular design. AI’s precision and analysis regarding patients’ genetic, environmental, and lifestyle factors have led to individualized treatment strategies. During the COVID-19 pandemic, AI-assisted telemedicine set a precedent for remote healthcare delivery and patient follow-up. Moreover, AI-generated applications and wearable devices have allowed ambulatory monitoring of vital signs. However, apart from being immensely transformative, AI’s contribution to healthcare is subject to ethical and regulatory concerns. AI-backed data protection and algorithm transparency should be strictly adherent to ethical principles. Vigorous governance frameworks should be in place before incorporating AI in mental health interventions through AI-operated chatbots, medical education enhancements, and virtual reality-based training. The role of AI in medical decision-making has certain limitations, necessitating the importance of hands-on experience. Therefore, reaching an optimal balance between AI’s capabilities and ethical considerations to ensure impartial and neutral performance in healthcare applications is crucial. This narrative review focuses on AI’s impact on healthcare and the importance of ethical and balanced incorporation to make use of its full potential. Cureus 2023-09-04 /pmc/articles/PMC10549955/ /pubmed/37799217 http://dx.doi.org/10.7759/cureus.44658 Text en Copyright © 2023, Iqbal et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Internal Medicine
Iqbal, Javed
Cortés Jaimes, Diana Carolina
Makineni, Pallavi
Subramani, Sachin
Hemaida, Sarah
Thugu, Thanmai Reddy
Butt, Amna Naveed
Sikto, Jarin Tasnim
Kaur, Pareena
Lak, Muhammad Ali
Augustine, Monisha
Shahzad, Roheen
Arain, Mustafa
Reimagining Healthcare: Unleashing the Power of Artificial Intelligence in Medicine
title Reimagining Healthcare: Unleashing the Power of Artificial Intelligence in Medicine
title_full Reimagining Healthcare: Unleashing the Power of Artificial Intelligence in Medicine
title_fullStr Reimagining Healthcare: Unleashing the Power of Artificial Intelligence in Medicine
title_full_unstemmed Reimagining Healthcare: Unleashing the Power of Artificial Intelligence in Medicine
title_short Reimagining Healthcare: Unleashing the Power of Artificial Intelligence in Medicine
title_sort reimagining healthcare: unleashing the power of artificial intelligence in medicine
topic Internal Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10549955/
https://www.ncbi.nlm.nih.gov/pubmed/37799217
http://dx.doi.org/10.7759/cureus.44658
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