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Artificial Intelligence in Medicine (AI)

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Research on Artificial Intelligence in Medicine serves SDG 3 by enhancing healthcare outcomes, promoting access to healthcare services, and supporting good health and well-being for all. Additionally, it contributes to SDG 9 by fostering innovation in healthcare technology, optimizing healthcare infrastructure, and promoting sustainable industrialization within the healthcare sector.

Science and Technology

Description of Subtheme:

The use of algorithms and computer systems to analyze medical data and aid in diagnosis and treatment decisions. Research on artificial intelligence (AI) in medicine focuses on leveraging AI technologies to improve healthcare delivery, diagnosis, treatment, and patient outcomes. This interdisciplinary field combines computer science, data science, medicine, and healthcare engineering. Key areas of research include:

Research Action Plan:

  1. Developing AI algorithms to assist in diagnosing diseases through analysis of medical images, laboratory results, and patient data. For instance, AI models can detect anomalies in radiology images (e.g., X-rays, MRIs) or identify patterns in pathology slides.
  2. Utilizing AI to tailor medical treatment to individual patients based on their genetic, environmental, and lifestyle factors. AI can help analyze large datasets to identify which treatments are likely to be most effective for specific patient profiles.
  3. Implementing AI-powered chatbots and virtual health assistants to provide patient support, manage chronic conditions, and offer mental health services. These tools can improve access to care and provide personalized health advice.
  4. Integrating AI with wearable devices and sensors to continuously monitor patient health. AI can analyze data from these devices to detect early signs of health issues and provide real-time alerts.
  5. Researching the ethical implications of AI in medicine, including issues of bias, fairness, and privacy. This area focuses on ensuring that AI systems are developed and used in ways that are ethical, transparent, and equitable.

Prominent Research:

  1. “Artificial Intelligence: Knowledge and Attitude Among Lebanese Medical Students” Published in “Cureus” in January 2024. https://pubmed.ncbi.nlm.nih.gov/38298326/