AI in Diagnostic Imaging
Clinical leadership of AI work across X-ray, CT and MRI — from annotation and model-building to validation workflows.
AI · Education · Innovation
A focused view of Dr. Shastry's work across AI-enabled imaging, radiology education, research development, CLEAR Series and Steth Meets Spreadsheet.
Signature anchors
Two signature educational formats translating complex AI and healthcare ideas for doctors, residents and healthtech leaders.
CLINical Lens to Explain AI Relatably
A no-jargon educational series that translates AI concepts into clinical analogies doctors and residents can retain.
VITALS Series · 1/10
A long-form editorial anchor connecting medicine, healthcare operations, founders and the business of clinical innovation.
Focus areas
A connected view of his work across clinical radiology, AI, education and healthcare innovation.
Clinical leadership of AI work across X-ray, CT and MRI — from annotation and model-building to validation workflows.
Sub-specialty interest spanning post-operative MSK imaging, metabolic bone disease and joint pathology, with published work in the field.
Designed and implemented QA workflows across cross-sectional imaging modalities to support consistent service delivery.
Contributor to the DigiNerve series (Jaypee Publications) and creator of curated postgraduate teaching content and frameworks.
Research in development
Active development pipeline for musculoskeletal radiograph AI.
Comparative study of small and large language models for radiology reporting and decision support.
Multicentric, multinational study on the effectiveness of micro-learning in radiology education.
Education
Teaching work connects postgraduate radiology, AI literacy and practical research mentorship.
Exam-preparation frameworks built around real-world radiology cases.
Teaching material around MR physics, recent advances and practical problem-solving.
Contributor to the radiology modules of orthopaedic textbooks in the DigiNerve digital learning series.
Introductory AI material for radiology residents.
CLEAR gives clinicians a way into AI concepts. Steth Meets Spreadsheet gives healthcare builders a way into systems and strategy. The resident hub carries that same teaching posture into training resources.