Dec 11, 2018 — 7 min read
Lunit, a medical AI software company, today announced new members of its advisory board, world-renowned medical experts, Drs. Eliot Siegel, Linda Moy, and Khan Siddiqui.
“We welcome Drs. Siegel, Moy, and Siddiqui as our advisors,” said Brandon Suh, CEO of Lunit. “We are proud to have such distinguished and respected experts in radiology as our advisors in our journey in advancing medical intelligence to the next level. We are thrilled to be working with them, and with their help, we believe we can better achieve our goal to deliver state-of-the-art AI solutions that properly address unmet clinical needs.”
Dr. Eliot Siegel, FACR, FSIIM, is known as a visionary in radiology and one of the early pioneers of the Picture Archiving and Communication Systems (PACS), is Professor and Vice Chairman of Research Information Systems at the University of Maryland, Adjunct Professor of Computer Science and Biomedical Engineering at University of Maryland, and is Chief of Radiology and Nuclear Medicine for the Veterans Affairs Maryland Healthcare System, Baltimore, MD. Under his guidance, VA Maryland Healthcare System became the first filmless healthcare enterprise in the world. He has served various leadership positions in academic societies including SPIE, SIIM, ACR, the National Cancer Institute, and the RSNA and currently serves as co-chair of the Conference on Machine Intelligence in Medical Imaging. He has written over 300 articles and book chapters about PACS and digital imaging and has made more than 1,000 presentations throughout the world on a broad range of topics involving the use of computers in medicine.
“Deep Learning, commonly referred to as AI, will have a profound impact on Diagnostic Imaging in the next several years and will become an indispensable and ubiquitous tool in routine clinical practice," said Dr. Siegel. "Innovations will come partly from large and well-established healthcare and imaging vendors, but particularly from nimble and creative start-ups and other smaller companies with core expertise in machine learning or niche clinical applications. The sophistication, efficacy, and safety of these vary considerably, especially in these early times of AI implementation. I have been particularly impressed with Lunit’s academic/research pedigree including numerous publications that have advanced the science of machine learning in imaging, their impressive success in Imagenet, Camelyon and other computer vision competitions, and their clinical leadership including 6 board certified medical directors and 15 additional radiologists/pathologists. This combination of pushing the research envelope and solid clinical input and leadership serves as a model for the evolution of AI vendors in medical imaging.”
Dr. Linda Moy, a key opinion leader in breast imaging, is a professor at NYU School of Medicine. She holds a joint appointment at the NYU Langone Medical Center and at the NYU Center for Advanced Imaging Innovation and Research. Her career as a clinician and researcher focuses on diagnostic oncologic imaging, with an emphasis on the detection of breast cancer.
Her research team has been awarded major research grants from the National Institute of Health and Department of Defense. She has authored or co-authored more than 140 original research articles, reviews, and editorial articles. She is the editor of two textbooks on breast MRI. She has made more than 100 major presentations at international events. She is the Chair of the Radiological Society of North America’s Scientific Program Committee on Breast Imaging. She also serves as a Deputy Editor for Breast Imaging at Radiology. She is the chair of the American College of Radiology (ACR) Joint Committee on Breast Imaging for the Appropriateness Criteria and chair of the ACR Practice Parameters and Technical Standards. In addition, she holds leadership positions in the International Society for Magnetic Resonance in Medicine, American Roentgen Ray Society and the Society of Breast Imaging.
“Lunit has developed innovative solutions that address the limitations of screening Mammography,” said Dr. Moy. “Although their advanced medical image analytics will improve diagnostic accuracy, I’m particularly excited about their development of novel imaging biomarkers that will improve the quality of care for our patients.”
Serial Entrepreneur, Founder and Chief Medical/Chief Technology Officer of higi, a medical technology company that makes self-service health stations, Dr. Khan Siddiqui brings over 22 years of experience as a practicing clinician and technology professional. A visiting Associate Professor at the Department of Radiology at John Hopkins University School of Medicine, former Co-Director at the Center for Biomedical & Imaging Informatics, Johns Hopkins University.
Prior to founding higi in 2012, Dr. Siddiqui was a Physician Executive and Principal Program Manager at Microsoft. Dr. Siddiqui has published dozens of peer-reviewed publications and holds 12 patents for technology in areas of deep learning, AI, image processing, data visualization, as well as securing patient information handling and health records.
“Radiologists play an immense role in improving patient outcomes via early disease detection,” said Dr. Siddiqui.
“Great advancements in artificial intelligence-based disease detection solutions by Lunit will lead to earlier and faster diagnosis, thereby improving radiologists’ accuracy and productivity. I am excited to join the advisory board to help guide product development and address pressing clinical needs of early disease detection with AI enabled tools.”
Drs. Siegel, Moy, and Siddiqui will join Drs. Jihoon Jeong and Kyunghyun Cho in providing expert insight at Lunit’s advisory board.
“At this stage, when we are shifting our gears from research and development to global commercialization of our products, we feel honored to have these internationally acclaimed experts on our board, who can help us pave our path in the world of medical AI,” said Suh. “We are truly fortunate to have them by our side in this adventure and together, I am confident that we will be successful in creating a remarkable impact on the medical society worldwide.”
Lunit wins Tumor Proliferation Assessment Challenge (TUPAC) 2016
Lunit to unveil data-driven imaging biomarker at RSNA 2016
Lunit to showcase AI-powered products at USCAP 2017
Lunit INSIGHT: The First-ever, Real-time Imaging AI Analytics on the Web
Cognitive biases and augmented intelligence in radiology
Lunit Returns to RSNA with Real-time Imaging Platform, Featuring Cloud-based A
Lunit Unveils “Lunit INSIGHT,” A New Real-time Imaging AI Platform on the Web at RSNA 2017
Lunit INSIGHT: Q&A with Brandon B. Suh, Chief Medical Officer at Lunit
ANNOUNCING: BRANDON SUH, OUR NEW CEO
Lunit preps Korean IPO led by NH Investment Bank
Media Advisory: Lunit at RSNA 2018
Lunit Opens “Lunit INSIGHT for Mammography” for Public Access
Lunit Brings its Newest AI Solution for Mammography to RSNA 2018
Lunit Partners with Fujifilm and Salud Digna to Provide Medical AI Solution in Mexico
Lunit to Introduce Medical AI Solutions at GTC 2019
Lunit to Showcase AI Solution for Breast Cancer at SBI 2019
Lunit to Present Findings on the Predictive Power of AI Biomarker for Lung Cancer Immunotherapy at ASCO 2019
Lunit Receives Korea MFDS Approval for its AI Solution for Breast Cancer, Lunit INSIGHT MMG
Lunit Named to the 2019 CB Insights Digital Health 150 -- List of Most Innovative Digital Health Startups
Lunit Gets Korea MFDS Approval for its AI Solution for Chest X-ray, Lunit INSIGHT CXR 2
Lunit at RSNA 2019
Lunit Announces its First CE Mark for AI-Powered Chest X-ray Analysis Software, Lunit INSIGHT CXR
Lunit AI software clinically installed in global sites—to be presented at RSNA 2019
Lunit Secures $26M in Series C Funding Round, Led by Asian Investors
AI-assisted Radiologists Can Detect More Breast Cancer with Reduced False-positive Recall
Renowned Oncologist Dr. Tony Mok Joins Lunit Advisory Board
Lunit INSIGHT MMG, an AI Solution for Breast Cancer Detection, Now CE Certified
Lunit Awarded as Technology Pioneer by World Economic Forum
Lunit at ECR 2020: Providing Virtual Exhibition and Online Presentations
Lunit Named to the 2020 CB Insights Digital Health 150 -- List of Most Innovative Digital Health Startups
Emergent Connect Partners with Lunit to Provide Cloud Based AI Solutions
AI Analysis Can Improve Lung Cancer Detection on Chest Radiographs
AI has Added Value in Insurance Underwriting Process, Recent Pilot Project Between Lunit and Cathay Financial Innovation Lab Reveals
RSNA 2020--Lunit Collaborates with Global Giants in Presenting its AI Solution at Virtual Booths of GE Healthcare, FujiFilm, and Sectra
AI Proves Its Value in Assistance for Emergency Cases-- With Higher Accuracy and Timely Reporting Time of Chest Radiographs
Lunit Expands Collaboration with GE Healthcare to Advance AI Adoption across Healthcare Industry
AI Can Offer Fast and Reliable Examination to Triage COVID-19 Patients-- A Multicenter Retrospective Study Reveals
Recent Studies Reveal High Performance of Lunit AI in Breast Cancer Detection
South Korean Medical AI Provider and PACS Leader Enters Indonesian Market, to Help COVID-19 Screening and Diagnosis
What do the medical journals say about AI-powered mammography?
Research Using Lunit Demo Website
Lunit Presents AI-powered Pathologic Classification of Immune Phenotype that Predicts Response to Immunotherapy at USCAP 2021
What do the medical journals say about AI-powered chest x-ray interpretation?
Join our webinar with Dr. Fredrik Strand
From retrospective to prospective trials of AI in breast cancer screening
AACR 2021 - Lunit Presents Abstracts Demonstrating the Potential of its AI Biomarker in Cancer Treatment
Will AI Identify Breast Cancer Better Than Radiologists in Actual Clinical Screening?
Case of the Month | Where Is Breast Cancer?
Clinical Application of Lunit AI For Chest Radiography and Mammography to Be Presented at AOCR 2021
Lunit Secures $26M Investment from Guardant Health in a Strategic Funding Round
A Multi-reader Study Finds Unnecessary CT Exams Can Be Reduced by 30% When Analyzing Chest Radiographs with AI
Fujifilm Introduces its AI-powered Product for Chest X-ray in Japan, in Collaboration with Lunit
Lunit Collaborates with Intel to Provide AI Solutions to CPU-Based Customers in Need of Effective X-ray Diagnosis
Case of the Month (Chest x-ray)
COVID Global User Testimonials
Where is Cancer?
Evaluation curves for object detection algorithms in medical images
Lunit to Participate in RSNA 2021, Presenting its New AI Solutions for Digital Breast Tomosynthesis and Chest CT
RadLink, Singapore’s Leading Imaging Center, Adapts Lunit AI to Analyze Chest X-rays and Mammograms
Lunit Expands Team with Multiple Industry Leaders to Accelerate its Business Growth
Lunit Gets FDA Nod for AI-based Chest X-ray Triage Solution, Developed for Sorting of Emergency Cases
Lunit's AI Software for Breast Cancer Detection, Lunit INSIGHT MMG, Wins FDA Clearance
Research Backs Clinical Efficacy of Lunit's Radiology AI Products; Abstracts to be Presented at RSNA 2021
Medical AI Provider Lunit Raises $61M in Funding Round Led By Major Global Healthcare Investors
Lunit Named to the 2021 CB Insights Digital Health 150 -- List of Most Innovative Digital Health Startups
Lunit Obtains MDSAP Certificate, Granted Fast-Track Regulatory Process in Major Countries
Lunit to Showcase Chest and Breast Radiology AI in Arab Health 2022
Baheya Foundation, Egypt’s Premier Destination for Breast Cancer, Adopts Lunit AI to Enhance Early Screening