An open access journal
Advancing Healthcare Diagnosis and Treatment
Abstract
This paper explores the advancements in healthcare diagnosis and treatment driven by AI-driven engineering. Through case studies and research insights, it investigates how artificial intelligence is transforming various aspects of healthcare, including disease diagnosis, treatment planning, and patient monitoring. The study highlights the application of AI techniques such as machine learning, natural language processing, and medical imaging analysis in improving diagnostic accuracy, personalized treatment regimens, and predictive healthcare analytics. Additionally, it discusses the integration of AI with electronic health records, wearable devices, and telemedicine platforms to enable remote monitoring, proactive interventions, and personalized patient care. The paper also addresses challenges such as data privacy, regulatory compliance, and ethical considerations in the adoption of AI-driven engineering solutions in healthcare. It emphasizes the need for interdisciplinary collaboration, evidence-based practices, and stakeholder engagement to maximize the benefits of AI in advancing healthcare delivery and improving patient outcomes.
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