Jayashri Shimpi-Pawar Md Radiology, Ai Clinical Fellow Email & Phone Number

New York, NY, US

Rockville, Maryland, US

New York, NY, US

• Worked with the Chief Medical Officer and the AI team to coordinate clinical and analytic priorities, helping to shape the company's AI strategy in medical image analysis, scaling and quality control of annotations as.
• Defined and executed the AI strategy as it relates to scaling its Radiology Quality Assessment Framework.
• Spearheaded collaboration with SVP of Clinical Product, Chief Medical Officer, and Clinical Advisors to define and articulate product vision and strategy, effectively communicating roadmap and progress to senior.
• Led the development and scaling of clinical alert products using AI/ GenAI and the development of production level 36+ Computer Vision and NLP algorithms in MSK And Neuroradiology, 10+ Gen AI models for both medical.
• Led the development of 15+ NLP algorithms for population health and Risk adjustment analysis products for Payor-Provider.

New York, NY, US

AI in Radiology

Boston, MA, US

• Contributed to the entire model development process, resulting in AI solutions now potentially FDA-approved and utilized across various radiology modalities.
• Worked with multidisciplinary teams to leverage healthcare data and computational resources, delivering AI-driven medical imaging solutions in partnership with physician thought leaders.
• Owned radiological data pipelines for multiple AI projects, ensuring seamless data flow and integration.
• Provided input into the product development cycle, identifying project opportunities and innovative ideas.
• Utilized radiological expertise to enhance data mining and cohort creation, including the parsing of radiological reports.

Boston, MA, US

• Providing input into the product development cycle as well as identifying potential new projects/ ideas
• Using radiological knowledge to assist the data mining and cohort creation process (e.g. via radiological report parsing)
• Generation of high-quality labelled datasets (e.g. image classification and/or segmentation)
• Unlocking bottlenecks in the pipeline, such as series identification
• Manage internal and external reviewers. Responsible for the training and testing of reviewers. Responsible for training of internal team members on IRB
• Interface with the Engineering and Data Management departments, machine learning Department on user requirements

Miramar, FL, US

• Collaborated with American Board of Radiology Certified radiologists to analyze and interpret a diverse range of medical images, including CT (Brain, Abdomen, Chest, Angiography, Bone), MRI (Brain, Shoulder, Knee, Soft.
• Contributed to RAD365’s mission as a global provider of top-tier Healthcare Technology Services and Solutions, encompassing Teleradiology, Medical KPOs, Medical Transcription, and Digital Healthcare products, ensuring.

• Conducted CT, Ultrasound, and Mammography diagnostics and interpretations for Emergency, Outpatient, and Inpatient exams, enhancing patient care with accurate imaging assessments.
• Interpreted over 500 musculoskeletal ultrasounds, including knee, forearm, wrist, ankle, and pediatric hip joint scans, more than 10K abdominal ultrasound studies, over 6K obstetrics and gynecology ultrasounds, and.
• Established and led the mammography team, developing strategies to enhance service quality and optimizing clinical services through collaboration with Clinical and Pathology teams.

Product Management

Fellowship In Ai

Frcr Part 2A, Clinical Radiodiagnosis And Imaging.

Md Radiology

Certified In Diagnostic Musculoskeletal Sonography., Musculoskeletal Sonography Sport Injury Ultrasound.

Bachelor Of Medicine, Bachelor Of Surgery (M.B.B.S.), Diploma In Medical Radiodignosis(Dmrd)