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Machine Learning in Healthcare: Transforming Diagnosis, Drug Discovery, and Patient Care with Real-World Challenge
0
Zitationen
6
Autoren
2026
Jahr
Abstract
Abstract Machine learning (ML) has moved well beyond theoretical computer science — it is now reshaping how doctors diagnose diseases, how pharmaceutical companies discover drugs, and how hospitals manage patient care. This paper provides a focused overview of where ML is making the biggest difference in healthcare: disease detection, drug discovery, personalized medicine, clinical text analysis, remote patient monitoring, and surgical robotics. It also takes an honest look at the real-world challenges, including data bias, privacy concerns, and the difficulty of integrating AI into busy clinical environments. Keywords: Machine Learning, Healthcare, Deep Learning, Predictive Analytics, Medical Imaging, Natural Language Processing, Drug Discovery, Precision Medicine
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