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SIIM26 logo footer
  • Attend
    • Hotels + Venue
    • Who Should Attend?
    • Networking Events
    • Justify Your Attendance!
    • Preliminary Program
  • Program
    • Program Agenda
    • Featured Education
      • General Sessions
      • Learning Labs
    • Roadmaps
      • Cardiology
      • Dermatology
      • Ophthalmology
      • Pathology
      • Radiology
    • Continuing Education
    • Speakers List
    • Preliminary Program
  • TECH Expo
    • Exhibitors
    • Alphabetical Exhibitor List
    • Product Categories
    • Floor Plan
  • Pre-Conference
    • Epic Users Group Meeting
    • SIIM-ACR Data Science Summit
  • Exhibit + Sponsor
    • How To Sign Up
    • Sponsor + Advertise
    • Startup Street
    • Booth Contract
    • Rules & Regulations
    • Vendor Prospectus
    • Exhibitor Resources
    • Suitcase Marketing Policy
  • Register
Portrait of Vedant Malik, a high school senior, attending the SIIM Annual Meeting 2023, showcasing young professionals in medical imaging and informatics.
Event Speaker

Vedant Malik

Senior, High School
Parkland High School

Vedant Malik, a senior at Parkland High School, is a researcher and the founder of MedReasoning Lab, an open-source initiative focused on building safer, more clinically trustworthy medical imaging AI. His work centers on radiology vision-language models, evidence-grounded reasoning, and methods to detect unsupported or hallucinated findings in AI-generated reports. He has conducted novel research and has presented work at SIIM, RSNA, EuSoMII, and AACR. Vedant is also a patent-pending researcher whose open-source frameworks study interpretability, grounding, and reliability in medical vision-language models.

Sessions

Education, Visualization, Emerging Modalities, and Resilience Applied Informatics Abstracts

Presented by Philippe Ballestraz, MS, Jennifer Fernandez, MD, RD, Barry Huey, Sébastien Jodogne, PhD, MSc, Vedant Malik, Dharmam Savani, MS in Dermatology, Ophthalmology, Pathology, Radiology Jun 12, 2026 | 8:15 AM.

A Novel Curriculum for Medical Students: A Dermatology-based Interactive Session to Build Foundational Understanding of Healthcare Imaging Informatics Jennifer Fernandez, MD, RD, Clinical Informatics Fellow, Dermatology, University of Arizona James Whitfill, MD, MBA, CIIP, FSIIM; Pamela Garcia-Filion, PhD, MPH Advancing Digital Pathology - Current State, Future Vision, and Emerging Challenges Barry Huey, Imaging Informatics Analyst,…

Scientific Research & Applied Informatics Posters and Demonstrations Roving Tours

Presented by Vedant Malik, Ritesh Patel, MD, Amirali Khosravi, Irene Lee, MD, Satvik Tripathi, Benjamin Rush, PhD, MPH, Natally AlArab, MD, MSc, Emre Alyamac, Jonah Belback, Intelligent Systems Master’s Student, Rakesh Sharma, Qian Cao, PhD, Skylar Chan, BS, Sharjeel Chaudhry, BDS, MPhil, Mohammadreza Chavoshi, MD, Weijie Chen, PhD, Adam Dachowicz, PhD, Ketan Dayma, MD, Ameena Elahi, MPA, RT(R), CIIP, Mark Finkelstein, MD, Razieh Ganjee, PhD, Hao Gong, PhD, Melissa Davis, MD, Zenas Huang, MSc., Basem Jaber, MD, Mark Jones, N/A, Peter Kamel, MD, Maziar Khateri, PhD, Theo Dapamede, MD, PhD, Jason Klug, PhD, Alexander Kuehne, MD, Gabriel Lau, BA, Priyadarshini Mamindla, MS, Evan Masutani, MD, PhD, Govind Mattay, MD, MBA, Jeremy Minkowitz, DO, Sergey Morozov, MD, PhD, MPH, CIIP, Paul Murphy, MD PhD, Ammar Ahmed Pallikonda Latheef, MSE, Michael Passarella, Samira Raminfard, PhD, Berkman Sahiner, PhD, Ronnie Sebro, MD, PhD, Sohan Shah, BS, Dvij Sharma, BS, Tubo Shi, MBChB, FRANZCR, Kailash Singh, BS, Yasna Soto, Kyle Tegtmeyer, MD, William Tepe,, Vidya Sankar Viswanathan, MBBS, Vidith Phillips, MD, MS, Aawez Mansuri, MS, Biniam Garomsa, Aadhi Aadhavan Balasubramanian, MS, Orhan Unal, PhD, Ismael Villanueva Miranda, PhD, Eric Richmond, CIIP, Shahriar Faghani, MD, Aaron Li, MD, Neil Lall, MD in Cardiology, Dermatology, Ophthalmology, Pathology, Radiology Jun 11, 2026 | 3:00 PM.

A Systematic Evaluation of Image Preprocessing in Deep Learning Detection and Segmentation of Intracranial Metastatic Disease Peter Kamel, MD, Assistant Professor, MD Anderson Cancer Center Ahmed Naeem, MD; Komal Shah, MD; Max Wintermark, MD, MS, MBA Accuracy and Performance of an Incidental Breast Lesion Detection Tool on a Cohort of 18000 Consecutive Chest CT Exams…

Scientific Research & Applied Informatics Posters and Demonstrations Roving Tours

Presented by Vedant Malik, Ritesh Patel, MD, Amirali Khosravi, Irene Lee, MD, Satvik Tripathi, Benjamin Rush, PhD, MPH, Natally AlArab, MD, MSc, Emre Alyamac, Jonah Belback, Intelligent Systems Master’s Student, Rakesh Sharma, Qian Cao, PhD, Skylar Chan, BS, Sharjeel Chaudhry, BDS, MPhil, Mohammadreza Chavoshi, MD, Weijie Chen, PhD, Adam Dachowicz, PhD, Ketan Dayma, MD, Ameena Elahi, MPA, RT(R), CIIP, Mark Finkelstein, MD, Razieh Ganjee, PhD, Hao Gong, PhD, Melissa Davis, MD, Zenas Huang, MSc., Basem Jaber, MD, Mark Jones, N/A, Peter Kamel, MD, Maziar Khateri, PhD, Theo Dapamede, MD, PhD, Jason Klug, PhD, Alexander Kuehne, MD, Gabriel Lau, BA, Priyadarshini Mamindla, MS, Evan Masutani, MD, PhD, Govind Mattay, MD, MBA, Jeremy Minkowitz, DO, Sergey Morozov, MD, PhD, MPH, CIIP, Paul Murphy, MD PhD, Ammar Ahmed Pallikonda Latheef, MSE, Michael Passarella, Samira Raminfard, PhD, Berkman Sahiner, PhD, Ronnie Sebro, MD, PhD, Sohan Shah, BS, Dvij Sharma, BS, Tubo Shi, MBChB, FRANZCR, Kailash Singh, BS, Yasna Soto, Kyle Tegtmeyer, MD, William Tepe,, Vidya Sankar Viswanathan, MBBS, Vidith Phillips, MD, MS, Aawez Mansuri, MS, Biniam Garomsa, Aadhi Aadhavan Balasubramanian, MS, Orhan Unal, PhD, Ismael Villanueva Miranda, PhD, Eric Richmond, CIIP, Shahriar Faghani, MD, Aaron Li, MD, Neil Lall, MD in Cardiology, Dermatology, Ophthalmology, Pathology, Radiology Jun 12, 2026 | 10:30 AM.

A Systematic Evaluation of Image Preprocessing in Deep Learning Detection and Segmentation of Intracranial Metastatic Disease Peter Kamel, MD, Assistant Professor, MD Anderson Cancer Center Ahmed Naeem, MD; Komal Shah, MD; Max Wintermark, MD, MS, MBA Accuracy and Performance of an Incidental Breast Lesion Detection Tool on a Cohort of 18000 Consecutive Chest CT Exams…

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