01 · Clinical Lead
AI-assisted chest X-ray pathology workflows
Chest X-ray · 60+ thoracic findings
Clinical leadership in developing and validating chest radiograph AI workflows for tuberculosis, pneumonia and broad thoracic pathology screening.
Radiologist | AI in Healthcare | Educator | Speaker
Dr. Praveen Shastry
Bridging medical imaging, artificial intelligence, education, and healthcare innovation.
14+ Publications & chapters
6+ AI/product initiatives
110+ Educational essays
AI Healthcare innovation
About
A clinical radiologist working where imaging, AI and education meet.
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 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 CRC Press / Taylor & Francis book chapters, he writes long-form educational essays on AI, radiology and healthcare innovation.
Roles & contributions
- 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
- Contributor — DigiNerve Series, Jaypee Publications
- Keynote — CLIRNET CME on AI in Radiology (2026)
The practice
A radiologist's eye. A builder's discipline.
Clinical leadership across AI work in diagnostic imaging, paired with published scholarship and postgraduate teaching.
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.
CXR · CT · MRI · MSK
Publication note
“Integrating radiographic and clinical data to deliver actionable and context-aware insights.”
Innovation lab
AI initiatives shaped inside real radiology workflows.
Selected clinical AI and workflow initiatives spanning detection, reporting support and preventive imaging.
02 · Conceptualiser
X-ray based bone health assessment workflows
Opportunistic bone health screening
Conceptual work around radiograph-driven bone mineral density assessment and osteoporosis screening from routine imaging.
03 · Product Pioneer
Voice-assisted reporting and structured documentation
Speech · LLM-assisted reporting
Clinical input into voice-driven reporting and structured radiology documentation workflows intended to reduce reporting friction.
Selected publications
Published work across
AI, MSK imaging and clinical radiology.
Original research, book chapters, preprints and editorial work across AI in radiology, musculoskeletal and cross-sectional imaging.
View publications- 2026
Artificial Intelligence in Cervical Spinal Imaging: A Review of Deep Learning Segmentation Models
Connecting Intelligence — CRC Press / Taylor & Francis
Co-Author - 2026
Deep Learning Applications in Post-Operative ACL Reconstruction Imaging
Connecting Intelligence — CRC Press / Taylor & Francis
First Author - 2025First Author
- 2025First Author
Speaking & teaching
On stage, on LinkedIn, in textbooks.
Session Speaker · 2026
AI in Orthopedic Research
K S Hegde Medical Academy
Lead Faculty / Guest Lecturer / Module Faculty · 2026
AI in Radiology and Computer Vision Teaching Sprint
CLIRNET; Kasturba Medical College, Mangalore; Pinhead Analytics Inc.
Session Speaker · 2026
AI in Medical Imaging and Beyond
Government Medical College, Mandya / Mandya Institute of Medical Sciences
Residents / Learning