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nih.gov
https://pmc.ncbi.nlm.nih.gov/articles/PMC12653247/
Machine Learning and Artificial Intelligence in Clinical Medicine ...
Over the past decade, the integration of machine learning (ML) and artificial intelligence (AI) into clinical medicine has accelerated dramatically, reshaping the ways in which clinicians collect, analyze, and interpret health data. Between 2021 and 2025, more than 53,000 publications have addressed AI, deep learning (DL), and ML in medical contexts across nearly all specialties—from ...
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sciencedirect.com
https://www.sciencedirect.com/science/article/pii/…
Machine learning in medical applications: A review of state-of-the-art ...
Five major medical applications are deeply discussed, focusing on adapting the ML models to solve the problems in cancer, medical chemistry, brain, medical imaging, and wearable sensors.
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coursera.org
https://www.coursera.org/articles/machine-learning…
What Is Machine Learning in Health Care? - Coursera
Machine learning (ML) in health care relies on the collection of patient data. Using systems and tools designed to sort and categorize data, machine learning algorithms can discover patterns in data sets that allow medical professionals to identify new diseases and predict treatment outcomes.
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springer.com
https://link.springer.com/book/10.1007/978-3-031-3…
Artificial Intelligence and Machine Learning in Health Care and Medical ...
Artificial Intelligence and Machine Learning in Health Care and Medical Sciences: Best Practices and Pitfalls is a comprehensive guide to how AI and ML techniques can best be applied in health care.
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builtin.com
https://builtin.com/artificial-intelligence/machin…
31 Machine Learning in Healthcare Examples
How Is Machine Learning Used in Healthcare? Machine learning is applied in a wide range of healthcare use cases, and much of its promise begins with its ability to handle complex data.
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techmagic.co
https://www.techmagic.co/blog/machine-learning-for…
Machine Learning in Healthcare: Complete Overview | TechMagic
Machine learning in healthcare is a way for computers to learn patterns from clinical data and make predictions or recommendations that support care. Unlike traditional analytics, which follow fixed rules, machine learning models adapt as they see more data, which makes them useful for complex tasks like risk scoring, imaging analysis, and ...
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ieee.org
https://ieeexplore.ieee.org/document/10968491
Machine Learning in Healthcare: A Review of Applications, Opportunities ...
This article explores the potential of machine learning (ML) in transforming healthcare. It provides an overview of ML and its various categories, highlighting.
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wikipedia.org
https://en.wikipedia.org/wiki/Artificial_intellige…
Artificial intelligence in healthcare - Wikipedia
Accurate and early diagnosis of diseases is still a challenge in healthcare. Recognizing medical conditions and their symptoms is a complex problem. AI can assist clinicians with its data processing capabilities to save time and improve accuracy. [23] Through the use of machine learning, artificial intelligence can be able to substantially aid doctors in patient diagnosis through the analysis ...
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healthindustrytrends.com
https://healthindustrytrends.com/the-role-of-machi…
The Role of Machine Learning in Healthcare: Exploring Its Impact and ...
Machine learning (ML) has emerged as a transformative force in various sectors, and healthcare is no exception. The integration of machine learning technologies into healthcare systems is revolutionizing how medical professionals diagnose, treat, and manage diseases.
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sciencenewstoday.org
https://www.sciencenewstoday.org/how-machine-learn…
How Machine Learning is Transforming Healthcare
In short, machine learning is not just a helpful tool—it is becoming an essential partner in the modern practice of medicine. But what exactly is machine learning? How is it being used across the healthcare spectrum? What are the benefits, limitations, and ethical challenges?