Amazon Transcribe Medical Demo

December 02, 2019
Amazon Transcribe Medical is a machine learning service that makes it easy to quickly create accurate transcriptions from medical consultations between patients and physicians. Learn more about Amazon Transcribe Medical at https://aws.amazon.com/transcribe/medical. ⭐️⭐️⭐️ Don't forget to subscribe and to enable notifications ⭐️⭐️⭐️ Blog post: https://aws.amazon.com/blogs/aws/amazon-transcribe-medical-real-time-automatic-speech-recognition-for-healthcare-customers For more content, follow me on : * Medium: https://medium.com/@julsimon * Twitter: https://twitter.com/julsimon

Transcript

The liver attachments to the adrenal kidney were divided, and the liver was reflected superiorly. The vena cava was identified, followed by the main renal vein. Superior to the main renal vein, staying right on the vena cava, all small vessels were clipped and divided. Along the superior pole of the kidney, the tumor was dissected free from the top of the kidney using clips and Bovie. The harmonic scalpel was utilized superiorly and laterally. Posterior attachments were divided between clips, and once the whole adrenal was mobilized, the adrenal vein and one large adrenal artery were noted, doubly clipped, and divided.

Tags

Liver SurgeryVena CavaAdrenal Gland DissectionRenal VeinTumor Resection
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About the Author

Julien Simon is the Chief Evangelist at Arcee AI , specializing in Small Language Models and enterprise AI solutions. Recognized as the #1 AI Evangelist globally by AI Magazine in 2021, he brings over 30 years of technology leadership experience to his role.

With 650+ speaking engagements worldwide and 350+ technical blog posts, Julien is a leading voice in practical AI implementation, cost-effective AI solutions, and the democratization of artificial intelligence. His expertise spans open-source AI, Small Language Models, enterprise AI strategy, and edge computing optimization.

Previously serving as Principal Evangelist at Amazon Web Services and Chief Evangelist at Hugging Face, Julien has helped thousands of organizations implement AI solutions that deliver real business value. He is the author of "Learn Amazon SageMaker," the first book ever published on AWS's flagship machine learning service.

Julien's mission is to make AI accessible, understandable, and controllable for enterprises through transparent, open-weights models that organizations can deploy, customize, and trust.