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Total Size:
35.1 MB
Info Hash:
9EBB89DCBC53E4682E133A0E1AB7625510A60568
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Added:
Nov. 13, 2025, 9:54 p.m.
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(Last updated: Nov. 13, 2025, 9:55 p.m.)
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| De Paola L. Applications of Artificial Intelligence in Healthcare 2024.pdf | 35.1 MB |
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| Uploaded by blupirate | Size 629.1 MB | Health [ 17 /3 ] | Added 2023-06-02 |
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| Uploaded by indexFroggy | Size 192.9 MB | Health [ 1 /1 ] | Added 2023-07-01 |
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| Uploaded by andryold1 | Size 7.7 MB | Health [ 105 /11 ] | Added 2026-03-10 |
NOTE
SOURCE: De Paola L. Applications of Artificial Intelligence in Healthcare 2024
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COVER
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MEDIAINFO
Textbook in PDF format Artificial Intelligence in healthcare has emerged as a highly promising and rapidly evolving field. It involves leveraging advanced technologies to enhance medical services, diagnosis accuracy, treatment outcomes, and patient care levels. With the potential to revolutionize the industry, AI is attracting significant attention from researchers, professionals, and stakeholders worldwide. One area in which AI has shown remarkable progress is medical imaging analysis. Algorithms trained on vast datasets can now detect abnormalities in X-rays, MRIs, and CT scans with astonishing precision. This can aid doctors in early detection of diseases, thereby increasing chances of successful treatment. Additionally, AI can assist radiologists in managing huge volumes of imaging data efficiently leading to reduced turnaround time for diagnosis. Moreover, AI-driven decision support systems have gained traction in healthcare due to their ability to interpret complex patient data quickly. These systems utilize machine learning algorithms which analyze medical records, genetic information, and external research to suggest personalized treatment plans based on evidence-based guidelines. By assisting physicians in making informed decisions, AI enhances treatment accuracy while also reducing medical errors. Remote patient monitoring is another significant application of AI that offers immense potential for improving healthcare delivery. Through wearable devices and sensors, real-time data on vital signs and other health parameters can be continuously collected and analyzed. This enables healthcare professionals to detect early signs of deterioration thereby allowing for proactive interventions and better disease management especially for patients with chronic conditions. Ethics surrounding AI implementation remains an important conversation topic within the industry. Concerns related to privacy, data security, and potential biases fuel discussion around responsible deployment of this technology. Striking the right balance between human expertise and machine capabilities is essential for building trust amongst patients as well as healthcare providers towards AI-based systems. As the healthcare landscape continues to evolve, it is evident that Artificial Intelligence holds tremendous promise for transforming the way medical care is delivered. However, it’s important to recognize that AI should not be seen as a substitute for human intelligence but rather as a valuable tool to aid healthcare professionals in providing efficient and high-quality services. Through continued research, collaboration, and responsible implementation, we can fully unlock the potential of AI resulting in improved patient outcomes and healthcare effectiveness across the globe. This book consists of seven chapters, each covers on a specific aspect of the growing role of artificial intelligence in healthcare. Chapter 1 explores the emergence of AI in healthcare applications, while Chapter 2 delves into its use in drug discovery and molecular modeling. Chapter 3 focuses on AI’s application in cancer diagnostics and treatment decisions, and Chapter 4 addresses its role in medical imaging. Chapter 5 discusses AI-assisted surgery, Chapter 6 covers remote patient monitoring using AI, and Chapter 7 focuses on the critical aspects of security, privacy, and information-sharing within the context of healthcare AI. Together, these chapters provide a comprehensive overview of the impact and potential of AI in revolutionizing the healthcare industry
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