Medical imaging and analysis facilitate better diagnostics, patient management, and medical research. Rapid advancements in medical imaging technology and healthcare have increased data volume and complexity and influenced decision-making. The modern personalized health care integrates multi-modal data to achieve improved clinical decision support and management of the condition. Research data analytics involves identifying patterns, connections, and relationships from the data to get insights from quantitative and qualitative data. MATLAB^® enables data analysis and rapid prototyping of decision support systems through its image and signal processing, optimization, and AI modeling and deployment capabilities. In this talk, I will demonstrate the challenges of healthcare and how tools like decision support systems help to ease the pain points by discussing:

• Transformation in healthcare models
• Pain points in healthcare
• Opportunities and challenges in ML-based radiology
• Examples of pre-clinical and clinical projects