Read: 1612
Abstract:
The present study offers an extensive overview of the advancements and applications of within the healthcare sector. This comprehensive review delves into various aspects of influence on medical diagnostics, patient care management, drug development, and personalized medicine. It provides insights into cutting-edge technologies, ongoing research, potential future developments, as well as current challenges in this multidisciplinary field.
Introduction:
has rapidly evolved from a theoretical concept to an integral component of numerous industries, significantly reshaping their operational dynamics and efficiency. In healthcare, capabilities have proven transformative, offering novel solutions for complex problems related to medical imaging, predictive analytics, and personalized treatment plans. This review provide an in-depth understanding of the current state and future potential ofapplications within healthcare.
Methods:
A systematic literature search was conducted using databases such as PubMed, Scopus, and Google Scholar from inception until the most recent date. Keywords were tlored to encompass various dimensions ofin healthcare: AND medical diagnostics, patient care management, drug development, personalized medicine. The selection criteria included peer-reviewed articles published in English.
Results:
The review highlights a range ofapplications, including computer-assisted diagnosis systems that leverage deep learning algorithms for improved accuracy and efficiency in medical imaging analysis. In drug development, s are utilized to predict drug efficacy and toxicity early , streamlining clinical trials and reducing costs. Moreover, personalized medicine benefits from analytics which tlor treatments based on individual patient characteristics.
Challenges:
Despite promising advancements, several challenges must be addressed for full integration into healthcare. These include issues of data privacy, security concerns, interpretability of complex s, ethical considerations in algorithm development, and the need for extensive trning resources to equip medical professionals with the necessary skills.
:
This review underscores the potential impact ofon improving healthcare outcomes by enhancing diagnostic accuracy, streamlining patient care, accelerating drug discovery, and personalizing treatments. Astechnologies continue to advance and mature, they present an exciting future for innovation in health services delivery. However, addressing challenges related to ethical considerations, data privacy, and algorithm interpretability will be crucial for ensuring the responsible adoption of these technologies.
Keywords: , Healthcare, Medical Diagnostics, Patient Care Management, Drug Development, Personalized Medicine
This article is reproduced from: https://www.lemon8-app.com/jeriicaa/7246619171273015810?region=sg
Please indicate when reprinting from: https://www.00ih.com/Ticket_Concert/Healthcare_Technology_Review.html
AI in Medical Imaging Analysis Personalized Medicine with AI Drug Development Acceleration by AI AI Solutions for Healthcare Efficiency Privacy and Security in AI Healthcare Ethical Considerations of AI in Medicine