We’ve all had a moment where we arrived at the grocery store and can’t remember passing any of the stoplights along the way. We’re halfway down an aisle and scrambling to remember what we even needed. Our mind is in overdrive trying to sort through our ever-growing to-do list. We’ve been there when just making it through the next task is hard. But the normal stresses of life aren’t the only thing YOU have to deal with. Nora McInerny hosts The Head Start: Embracing the Journey, a new podcast ...
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321: AI literacy for veterinarians: Why staying informed matters
MP3•Episode home
Manage episode 482799466 series 3313712
Content provided by The Vet Blast Podcast. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The Vet Blast Podcast or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.
Christopher Pinard, DVM, DVSc, DACVIM (Oncology), is a clinician scientist and medical oncologist at Lakeshore Animal Health Partners, adjunct professor at the University of Guelph, and CEO of ANI.ML Health Inc. ANI.ML Health integrates AI and spatial computing to enhance veterinary care, launching Hachiko in 2025—a first-of-its-kind veterinary medical record summarizer.
His research focuses on AI-driven biomarkers for canine and feline cancers, leveraging machine learning for comparative oncology. He explores spatial computing, 3D modelling, and AI to improve patient outcomes.
Pinard has co-authored multiple AI-focused publications and is a faculty affiliate at CARE-AI. He is also a member of T-CAIREM and the International Immuno-Oncology Biomarker Working Group. He has served on the Morris Animal Foundation Osteosarcoma Scientific Advisory Board and ACVIM’s AI Task Force. He is currently the guest editor of BMC Veterinary Oncology’s special issue on AI and Informatics. His research is actively funded for next-generation AI in medicine.
His research focuses on AI-driven biomarkers for canine and feline cancers, leveraging machine learning for comparative oncology. He explores spatial computing, 3D modelling, and AI to improve patient outcomes.
Pinard has co-authored multiple AI-focused publications and is a faculty affiliate at CARE-AI. He is also a member of T-CAIREM and the International Immuno-Oncology Biomarker Working Group. He has served on the Morris Animal Foundation Osteosarcoma Scientific Advisory Board and ACVIM’s AI Task Force. He is currently the guest editor of BMC Veterinary Oncology’s special issue on AI and Informatics. His research is actively funded for next-generation AI in medicine.
325 episodes
MP3•Episode home
Manage episode 482799466 series 3313712
Content provided by The Vet Blast Podcast. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The Vet Blast Podcast or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.
Christopher Pinard, DVM, DVSc, DACVIM (Oncology), is a clinician scientist and medical oncologist at Lakeshore Animal Health Partners, adjunct professor at the University of Guelph, and CEO of ANI.ML Health Inc. ANI.ML Health integrates AI and spatial computing to enhance veterinary care, launching Hachiko in 2025—a first-of-its-kind veterinary medical record summarizer.
His research focuses on AI-driven biomarkers for canine and feline cancers, leveraging machine learning for comparative oncology. He explores spatial computing, 3D modelling, and AI to improve patient outcomes.
Pinard has co-authored multiple AI-focused publications and is a faculty affiliate at CARE-AI. He is also a member of T-CAIREM and the International Immuno-Oncology Biomarker Working Group. He has served on the Morris Animal Foundation Osteosarcoma Scientific Advisory Board and ACVIM’s AI Task Force. He is currently the guest editor of BMC Veterinary Oncology’s special issue on AI and Informatics. His research is actively funded for next-generation AI in medicine.
His research focuses on AI-driven biomarkers for canine and feline cancers, leveraging machine learning for comparative oncology. He explores spatial computing, 3D modelling, and AI to improve patient outcomes.
Pinard has co-authored multiple AI-focused publications and is a faculty affiliate at CARE-AI. He is also a member of T-CAIREM and the International Immuno-Oncology Biomarker Working Group. He has served on the Morris Animal Foundation Osteosarcoma Scientific Advisory Board and ACVIM’s AI Task Force. He is currently the guest editor of BMC Veterinary Oncology’s special issue on AI and Informatics. His research is actively funded for next-generation AI in medicine.
325 episodes
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