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Session Introduction: Artificial Intelligence in Clinical Medicine: Generative and Interactive Systems at the
Sajjad Fouladvand1, Emma Pierson, Ivana Jankovic
1Real-World Evidence and Advanced Analytics, Johnson and Johnson, Brisbane, CA, USA, Sfouladv@its.jnj.com.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
|December 31, 2023
Summary
Artificial Intelligence (AI) is revolutionizing healthcare by analyzing complex data for clinical decision support and medical imaging. Further research is essential to fully understand AI's impact on patient care and medical practices.
Area of Science:
- Biomedical Informatics
- Artificial Intelligence in Medicine
- Computational Biology
Background:
- Artificial Intelligence (AI) models excel at analyzing complex, multi-dimensional datasets, including unstructured text and imaging data.
- Generative AI and deep learning show significant promise in extracting valuable knowledge from diverse data types.
- AI advancements are driving innovation in healthcare, with applications in clinical decision support, patient monitoring, and medical image interpretation.
Purpose of the Study:
- To highlight research applying AI algorithms to solve real-world healthcare challenges.
- To explore the development and application of generative and interactive AI systems at the human-machine interface in clinical medicine.
- To underscore the need for comprehensive research evaluating the impact of AI in healthcare.
Main Methods:
- Focus on research presented at the 2024 Pacific Symposium on Biocomputing (PSB) session on AI in Clinical Medicine.
- Showcasing the development and application of AI algorithms.
- Utilizing generative and interactive AI systems for healthcare solutions.
Main Results:
- AI models are enhancing the analysis of complex and multi-dimensional datasets.
- Significant advancements in knowledge extraction from unstructured and structured data.
- Development of numerous AI-powered tools for clinical decision support, monitoring, and image interpretation.
Conclusions:
- AI, particularly generative AI and deep learning, offers substantial potential to advance medical research and clinical practice.
- The integration of AI into healthcare necessitates thorough investigation into its implications and impact.
- Continued research and development are crucial for realizing the full benefits of AI in medicine.
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