Radiology workflow solutions with AI
Pending FDA 510(k) Clearance
AI products that seamlessly integrate into your PACS and radiology workflow and enable radiologists to automate tasks and provide efficient patient care.
How does the AI assist Radiologists?
With the growing demand for medical imaging in healthcare, radiologists are drowning in data. And, this often leads to an increase in reporting errors, high workload, and cluttered workflow.
AI enables radiologists to automate most of their repetitive tasks, identifies standard mensuration, and helps them generate high-quality, evidence-based reports. This will help the referring doctors and physicians make confident decisions with accurate data and intuitive workflow for better patient care.
AI will Empower your Radiology Workflows
Our AI algorithms are highly trained and provide up to 99% accurate assessments with quantitative and qualitative biomarkers and mensuration.
Solutions
RADIOLens | Synapsica
Pending FDA 510(k) Clearance
AI-enabled PACS solution for smoother radiology workflows. It automatically detects bad quality scans and creates preliminary reports for some of the most common modalities.
Learn MoreTele-Radiology | Synapsica
Enhance your radiology service with leading Teleradiologists across the globe to help with preliminary and secondary reads. Reduce your reporting turnaround time by 80%.
Learn MoreAI Assistants
Spindle by Synapsica
- Automatically identifies key vertebral points and provides a detailed, standardized mensuration of various spinal elements.
- Quickly identifies variations and pathologies. Such as measurement of vertebral and disc heights, identification of listhesis, etc.
SpindleX by Synapsica
Pending FDA 510(k) Clearance
- Makes advanced measurements to assess biomarkers of injury, instability, and age-related motion defects.
- Provides clear information about intersegmental motion in addition to disc injuries illustrated by MRIs, helping generate detailed, quantitative, and illustrative reports.
Crescent by Synapsica
- Automatically identifies, localizes, and characterizes common lesions & abnormalities.
- Generates standard, pre-filled reports for normal radiographs.
- Critical studies are prioritized in the worklist.
Our Partners
Advisory Board
Dr. Uday B Nanavaty
Dr. Uday Nanavaty, MD is a pulmonologist in Laurel, Maryland. He is currently licensed to practice medicine in Maryland, Virginia, and District of Columbia. He is affiliated with University of Maryland Capital Region Health at Laurel Regional Hospital, University of Maryland Capital Region Health Prince George's Hospital Center, and Carroll Hospital Center.
Dr. Snehansh Roy Chaudhary
Dr. Roy graduated from India and then moved to the UK for further subspecialty training in Radiology. After his residency in Liverpool, he completed a fellowship in Musculoskeletal Radiology at the Oxford University Hospitals in the NHS. He is currently on another fellowship in Vancouver at the University of British Columbia while also being enrolled in a Masters at the University of Oxford.
Dr. Arunkumar Govindarjan
Dr. Arunkumar Govindarjan, founder of Aarthi Scans and Labs, one of the largest diagnostic providers in India, specializes in Neuroradiology and Musculoskeletal Radiology. He completed his MD in Radiology from Mahatma Gandhi Medical College and Research Institute, Pondicherry, and FRCR from the Royal College of Radiology, London. With broad experience in healthcare management, Dr. Arun strives to make diagnostics more accessible and affordable.
Dr. Nina Kottler
Dr. Nina Kottler, MD, MS, Associate Chief Medical Officer for Clinical AI and VP of Clinical Operations at Radiology Partners (RP), heads the Data Science and Analytics division of RP. Recipient of the Trailblazer Award, Dr. Nina has 16 years of experience in emergency radiology, and aims to use Artificial Intelligence to improve quality and drive value in radiology.
