About

A radiologist working where clinical imaging, AI and education meet.

Consultant Radiologist, AI in Healthcare leader and educator with credentials spanning radiodiagnosis, national and European board qualifications, professional memberships and healthcare administration.

Dr. Praveen Shastry

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AI, Education & Innovation

A broader view of his AI, education and healthcare innovation work.

Projects

Clinical AI, product and workflow initiatives across diagnostic imaging.

Talks

Keynotes, CME engagements and long-form educational series.

Publications

Journal articles, book chapters, preprints and editorial work.

Certifications

Documented certificates, recognitions and professional milestones.

Biography

Dr. Praveen Shastry is a Consultant Radiologist whose work sits at the intersection of diagnostic imaging, clinical AI and medical education. At 5C Network, he contributes clinical leadership to AI-enabled imaging workflows, product development and quality systems. His leadership work spans clinical excellence, technical academics and AI-enabled imaging workflows.

His clinical and research interests span musculoskeletal radiology, neuroimaging, and the translation of deep-learning models into routine reporting workflows — from chest radiograph triage to whole-body MRI screening.

Alongside published research and two CRC Press / Taylor & Francis book chapters, he writes long-form educational essays on AI, radiology and healthcare innovation.

Roles & contributions

  • ◆ Head of Clinical Excellence — 5C Network
  • ◆ Head of Technical and Clinical Academics — Manipal HealthMap
  • ◆ Clinical Lead — AI and product development
  • ◆ Contributor — bone health assessment and reporting workflow innovation
  • ◆ Product Lead — whole-body preventive MRI workflow innovation
  • ◆ Cross-modality QA workflow architect
  • ◆ Cross-functional AI annotation team builder
  • ◆ Strategic transformation lead — 5C Network
  • ◆ Contributor — DigiNerve Series, Jaypee Publications
  • ◆ Speaker — Wake Forest Radiology International Grand Rounds
  • ◆ Presenter — RSNA 2025 radiology AI prompting
  • ◆ Lead Faculty — CLIRNET AI in Radiology

Sub-specialty focus

AI in Diagnostic Imaging

Clinical leadership of AI work across X-ray, CT and MRI — from annotation and model-building to validation workflows.

Musculoskeletal Radiology

Sub-specialty interest spanning post-operative MSK imaging, metabolic bone disease and joint pathology, with published work in the field.

Cross-Sectional Imaging Quality

Designed and implemented QA workflows across cross-sectional imaging modalities to support consistent service delivery.

Radiology Education

Contributor to the DigiNerve series (Jaypee Publications) and creator of curated postgraduate teaching content and frameworks.