Makiya Nakashima, MSc

Research Data Scientist II
Cleveland Clinic
Cleveland, Ohio, United States

Makiya Nakashima is a research data scientist specializing in machine learning for medical diagnostic imaging. Makiya develops and evaluates algorithms that support complex data analysis across multimodal clinical datasets. Makiya's work spans machine learning, deep learning, and natural language processing, with research contributions in disease detection, automated report generation, and clinical decision-support systems. Makiya is dedicated to building robust, interpretable models that enhance diagnostic accuracy and streamline clinical workflows.

Presentation(s):

• CMR in mixed-use MRI sites with no CMR training using AutoCMR, an automated 3D exam

  Thursday, February 5, 2026
  8:00 AM - 8:10 AM  

• CMR in arrhythmia patients with AutoCMR self-gated, 3D cine

  Thursday, February 5, 2026
  4:06 PM - 4:13 PM  

• Novel CMR-Derived ECV and LA Reservoir Strain Interaction Provides Independent Risk Stratification in Non-Ischemic Cardiomyopathy

  Thursday, February 5, 2026
  4:13 PM - 4:20 PM  

• Assessing reproducibility and robustness in 2D CINE CMR volumetrics using simulation on 3D CINE AutoCMR data

  Thursday, February 5, 2026
  4:06 PM - 4:13 PM  

• CMR-LLAMA: a pre-trained language model for identifying cardiovascular conditions and associated attributes in cardiac MRI text reports

  Friday, February 6, 2026
  10:36 AM - 10:43 AM  

• Discrepancies in Reporting of Left-Ventricular Late Gadolinium Enhancement Pattern, Distribution, and Burden on Cardiac Magnetic Resonance

  Friday, February 6, 2026
  3:59 PM - 4:06 PM  

• Impact of Human-AI Interaction on Diagnostic Accuracy, Confidence and Decision-Making in Cardiac Amyloidosis Artificial Intelligence Cardiac Magnetic Resonance Clinical Decision Support

  Saturday, February 7, 2026
  10:50 AM - 10:57 AM