Nina Kottler


Nina Kottler, MD

VP, Clinical Operations

Dr. Nina Kottler is a practicing radiologist and Vice President of Clinical Operations at Radiology Partners (RP). As the first radiologist in this practice, she helped create a deconstructed PACS platform that is being used and expanded upon as their practice grows. She runs RP’s internal teleradiology service, growing this service 22-fold in 3.5 years. Dr. Kottler also serves on RP’s Clinical Value Team, creating and running their informatics projects (using IT to improve clinical quality and drive value). In that role, Dr. Kottler helped to create RP’s first machine learning tool, recoMD. recoMD is a clinical decision support tool for the radiologists, available at the point of dictation. This AI tool is incorporated into the radiologist workflow and alerts the radiologist to evidence-based best practices and billing conditions before the radiologist signs off on their report. Dr. Kottler also served as a member of the Internal Practice Consulting Team (a group that helps local practices optimize their workflow). She created and coded the practice’s first online clinical resource for RP, their original RadWiki. She also serves on RP’s AI Committee reviewing and evaluating the multitude of AI vendors in the healthcare space and on the IT and RCM Physician Support Boards. Externally Dr. Kottler was elected to serve on the ACR’s informatics commission (2017-2019), the Non-Interpretive Panel for the ACR’s Data Science Institute (2018-2019), SIIM’s AI Industry Liaison Subcommittee (2018-2019), the Radiology Informatics Subcommittee for RSNA’s Education Exhibits Committee (2017-2020), RSNA’s RadLex Steering Committee, and the Learning Community in Radiology (2018 – 2019).



Dr. Kottler received her Bachelor of Science degree from Emory University in 1990, majoring in mathematics, where she helped to create a mathematical model of the cornea. Dr. Kottler continued her studies in applied mathematics (specializing in optimization theory) receiving a graduate degree from North Carolina State University. She graduated with honors, elected into the Phi Kappa Phi academic and Pi Mu Epsilon mathematics honor societies. Her thesis, entitled “A Complete Steady State Model of Solute and Water Transport in the Kidney” improved the then best working mathematical model of the kidneys. Dr. Kottler received her medical degree from the University of Massachusetts in Worcester and was elected into the Alpha Omega Alpha medical honor society. While in residency at the University of California, San Diego, Dr. Kottler was awarded the RSNA Research & Education foundation’s Roentgen Resident/Fellow Research award and the Elliott C Lasser Award for excellence in research.


  • Radiology
  • Informatics
  • AI


  • AI in the Community
  • AI, an Overview of where we have been, and where we are going
  • AI Applications in Clinical Use
  • Non-interpretive Use Cases in Radiology AI
  • Radiology + AI, A Journey Back to the Future
  • Creating Value through Technology and Clinical-Provider Collaboration
  • Productivity and Workflow: a 3-step primer on how to find a use case for optimization
  • Ethics of AI in Radiologic Practice
  • Applying AI to the Radiology Report
  • Creating Value Through Technology Development, Advanced Clinical Documentation and Provider Engagement
  • Developing IT Applications Based on Clinicians’ Needs


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