Implications of Artificial Intelligence in Healthcare
Author: Sophia Patel, Department of Health Sciences, University of Huston
Date: June 15, 2025
------------------------------------------------------------------------
Objective of the Task: To explore and analyze the implications of artificial intelligence (AI) in the field of healthcare, including diagnosis, treatment, patient care, and ethical considerations.
Task Completion:
1. AI in Medical Diagnosis:
Through a literature review and study of medical datasets, I investigated how AI algorithms have been successfully applied in medical diagnosis. The research highlighted the potential of AI to improve diagnostic accuracy, identify patterns in large datasets, and enhance early disease detection.
2. AI in Treatment Planning:
Analyzing case studies and clinical trials, I explored AI applications in treatment planning for diseases like cancer. The findings revealed how AI systems, such as machine learning algorithms, can analyze patient data and assist healthcare professionals in optimizing treatment plans and predicting patient outcomes.
3. AI in Patient Care:
To understand the impact of AI on patient care, I conducted interviews and surveys with healthcare providers and patients. The research showed how AI-based technologies like virtual assistants, wearable devices, and remote monitoring systems can enhance patient engagement, improve medication adherence, and facilitate personalized care.
