Gandharv Goyal

Founder & Chief Business officer at Synapsica

Role: Co-founder at Synapsica
Location: South Delhi, DL, IN
LinkedIn followers: 500 followers

General Business & ManagementView LinkedIn profile

About Gandharv Goyal

Hello, I am Founder & Chief Business Officer at Synapsica with over a decade of…

Experience

Co-founder
Synapsica
Jun 2017 — Present · South Delhi, IN
Founded a healthcare start-up that provides AI-powered radiology services. Led the company\'s product, growth, and success by building high-performance teams and technology, identifying market opportunities, and securing financing.

Education

All India Institute of Medical Sciences
Bachelor of Medicine, Bachelor of Surgery (M.B.B.S.), Medicine
2005 — 2010

Contact information

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Current company

Synapsica

Hospitals and Health Care · 19 employees · Founded 2019 · Bangalore, Karnataka, India

At Synapsica, we are creating AI-first PACS and radiology workflow solution that is fast, secure and automates reporting tasks, helping radiologists create high quality reports quicker. Our goal is to enable radiologists with fast, easy to use AI technology that helps generate high quality, evidence-based reports to significantly improve patient care. RADIOLens is an intuitive, AI-enabled, cloud-based RIS/PACS solution that makes diagnostic radiology workflows smoother. It provides Faster image uploading with Zero loss in image quality. RADIOLens helps automate mundane reporting tasks so radiologists can focus on clinical correlations for their patients. Spindle for MRI Spine helps with reporting of age-related degeneration of the spine. It automatically identifies key spinal mensurations and provides a detailed, standardized report with annotated images of abnormal various spinal elements. It quickly identifies variations and pathologies, such as spinal deformations, degeneration, identification of listhesis, etc. SpindleX for stress X-Rays of the spine takes automation a step further by generating a one-click automated reporting for all XR cases. These reports quantify all abnormalities and features of injury or early degeneration such as spinal instability, abnormal intersegmental motion etc. Illustrative graphs and tables comparing the extent of injury against standards are automatically included in the report making it easier to generate qualitative reports with visual evidence. Crescent segregates normal, abnormal and bad quality captures in chest X-rays. It identifies bad quality scans that need re-capture and for good scans, it localizes and characterizes common lesions & abnormalities. With Crescent, standard, pre-filled reports are generated for normal radiographs and critical studies are prioritized in the worklist.

synapsica.com

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About Gandharv Goyal

Experience

Co-founder

Education

All India Institute of Medical Sciences

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