Talks
Invited sessions, CME talks and teaching formats that translate radiology AI into practical clinical decisions.
Speaking portfolio
Talks · Workshops · CME · Panels
This archive brings invited sessions, professional talks and recorded videos into one place, with LinkedIn-backed talks readable inside the website.
Focus
Radiology AI, education and clinical adoption
Audience
Doctors, residents and healthcare AI teams
Video talks
2025
YouTubeMedSynapse
AI for accuracy, efficiency and clinical decision support. A MedSynapse educational engagement on the role of AI in improving clinical accuracy and efficiency.
Watch on YouTube
Nov 2023
YouTubeAnthill Inside / Hasgeek AI and Risk Mitigation Series
Implementation of AI systems and risk mitigation. A practical discussion on where radiology AI can be implemented, the risks it creates in clinical delivery, and the guardrails needed for safer adoption.
Watch on YouTubeSelected talks
K S Hegde Medical Academy
Format: Academic session and panel interaction
Audience: Orthopedic and medical research audience
Theme / takeaway
AI in orthopedic research and responsible medical research. Delivered a session on AI in Orthopedic Research at From Idea to Publication, organized by Karnataka Orthopedic Association and Canara Orthopedic Association, followed by a panel interaction.
CLIRNET; Kasturba Medical College, Mangalore; Pinhead Analytics Inc.
Format: CME session, guest lecture and teaching module
Audience: Doctors, radiology learners and AI-in-healthcare participants
Theme / takeaway
AI in radiology, medical education and computer vision fundamentals. A teaching sequence covering a CLIRNET AI in Radiology session, a KMC Mangalore guest lecture and an Introduction to Computer Vision module with 650+ registrants.
Government Medical College, Mandya / Mandya Institute of Medical Sciences
Format: Medical college academic session
Audience: Resident doctors, postgraduates and faculty
Theme / takeaway
AI in medical imaging and the future of medicine. A full-circle teaching session on the future of medicine in front of residents, faculty and several teachers who had shaped his early training.
Indian Medical Association
Format: Professional medical association talk
Audience: Senior doctors and IMA members
Theme / takeaway
AI across OPD, investigations, documentation, discharge and insurance workflows. Addressed the Indian Medical Association on using AI to reduce friction across the patient journey, from OPD visits through documentation, discharge and insurance workflows.
GRASP, Kempegowda Institute of Medical Sciences, Bangalore; Muniyal Institute, Manipal
Format: Resident teaching and academic institution session
Audience: Postgraduate radiology residents and clinical audience
Theme / takeaway
Radiology, artificial intelligence and teaching. Spoke at GRASP, KIMS Bangalore, and was also invited as Chief Guest and Speaker at Muniyal Institute, Manipal.
Wake Forest University
Format: International grand rounds
Audience: U.S. radiology academic audience
Theme / takeaway
Artificial intelligence in radiology and global imaging practice. An invited speaker engagement at Wake Forest University Radiology International Grand Rounds on artificial intelligence.
Radiological Society of North America, Chicago
Format: Conference talk
Audience: Global radiology and AI community
Theme / takeaway
Prompting skill for reliable radiology AI outputs. Delivered a talk on the minimum prompting skill radiologists need for consistent AI outputs, and where added prompt complexity stops helping.
Frontiers in Oncology Imaging & Therapeutics 2025
Format: Conference session
Audience: Oncology imaging, radiology and healthcare innovation audience
Theme / takeaway
AI in oncology imaging. Spoke on Oncology AI and the role of AI in improving clarity and consistency in complex oncology imaging problems.
DoctorsAI Global Summit 2025
Format: Summit session
Audience: Doctors, AI-in-radiology learners and healthcare AI community
Theme / takeaway
AI in radiology, ethics, regulations and future directions. A DoctorsAI Global Summit session on the future of AI in radiology alongside other radiology AI speakers.
DoctorsAI / MedSynapse
Format: Online webinar / web hour
Audience: Doctors and healthcare AI learners
Theme / takeaway
AI in healthcare and clinical medicine. A DoctorsAI and MedSynapse web-hour session contributing to clinician-facing AI education.
Kasturba Medical College, Mangalore
Format: Academic medical college session
Audience: Medical students, residents and faculty
Theme / takeaway
AI in healthcare and future of medicine. A KMC Mangalore session focused on how AI is shaping the future of medicine and clinical practice.
IEEE
Format: Technical / academic session
Audience: Technology, healthcare innovation and medical imaging audience
Theme / takeaway
Artificial intelligence, augmented reality and healthcare innovation. A cross-disciplinary session connecting AI, augmented reality and healthcare applications.
Forum of Orthopaedic Surgeons
Format: Interdisciplinary specialty forum talk
Audience: Orthopaedic surgeons and MSK radiology audience
Theme / takeaway
Radiological anatomy, shoulder imaging and AI-powered MSK insights. Delivered an invited talk on proximal humerus imaging, from radiological anatomy to AI-powered insights in MSK radiology.
National level conference on AI in Medical Imaging
Format: Conference keynote
Audience: Radiology, medical imaging and healthcare AI audience
Theme / takeaway
AI in medical imaging. Served as Chief Guest and Keynote Speaker at a national level conference on AI in Medical Imaging.
Radiology AI CME
Format: CME session
Audience: Radiologists and medical professionals
Theme / takeaway
Radiology AI and clinical adoption. A CME engagement focused on artificial intelligence in radiology and its relevance to clinical practice.
IMA Mangaluru / Manipal TRUtest
Format: CME event
Audience: IMA members and clinicians
Theme / takeaway
Artificial intelligence in radiology. A CME event at IMA Mangaluru covering Basics of Nuclear Medicine and Artificial Intelligence in Radiology.
Speaking themes
The recurring themes across his talks, workshops and teaching engagements.
AI and imaging concepts taught through clinical examples that postgraduate radiology learners can remember and use.
How radiology teams can evaluate AI tools, keep radiologists in the loop and protect clinical safety during adoption.
Practical guidance on the questions radiologists should ask AI systems to get reliable, clinically useful outputs.
Research-backed voice
His talks connect back to peer-facing research and clinical implementation work in imaging AI.
Dr. Shastry brings clinical depth to radiology AI, delivery risk, prompting for radiologists, resident education and healthcare innovation.
View LinkedIn profilePositioning
The talks sit at the same intersection as his broader work: diagnostic imaging, applied AI, postgraduate education and healthcare innovation.
Explaining AI in radiology through clinical use cases, limits, validation and workflow adoption.
Teaching concepts, cases and research habits for radiologists in training.
Connecting imaging practice with product thinking, quality systems and scalable clinical operations.