Capsule Endoscopy & Machine Learning to Find Pathology. Digital Health Interviews: Amelia Okulewicz скачать в хорошем качестве

Capsule Endoscopy & Machine Learning to Find Pathology. Digital Health Interviews: Amelia Okulewicz

Capsule endoscopy isn't new on the market. It's a great substitution for invasive endoscopy which people prefer to avoid in any circumstances unless there is no other way. https://www.biocam.ai/ is a great startup that created not only its only capsule but also made great progress in analyzing the data the camera captured. Amelia Okulewicz is a machine learning specialist at Biocam and she told us a lot of interesting things about how machine learning works, how to take the trash out of data, what would the tasks for ML specialists sound like, and much more. Amelia also gave a great piece of advice for startup founders on how to hire and communicate with machine learning specialists. Hope you enjoy our new episode of digital health interviews and don't forget to subscribe to our channel. 00:00 Greetings 01:01 Amelia's introduction 02:57 We talked about Amelia's article on Medium "Chaos in the standardization — how to handle HL7".   / chaos-in-the-standardisation-how-to-handle...   04:03 Lots of startup founders in digital health are not really technical. They mostly have either a business management background or medical background. So what machine learning and artificial intelligence are? 06:15 We hear about ML and AI all the time. These are buzzwords for every investor but the funny thing is that there aren’t too many successful startups and companies that are using machine learning very effectively for many reasons. What's your opinion on this? 08:29 What companies/products do you know that are successfully using ML and AI? 10:33 Do you think that one of the possible problems for ML nowadays is still - a lack of good data? 12:25 Tell us more about Biocam. 15:48 Where are you right now in terms of validating the product? 16:59 What level of accuracy are you aiming for? 18:02 What makes Biocam unique and what are the advantages compared to similar solutions? 19:50 Where do you get the data for your algorithms? 21:48 What would the task you get from a manager look like? Create algorithms, optimize algorithms? 24:11 How hard to estimate such a task? 26:14 Were you thinking about creating your own startup someday? 27:11 Finally, would you have any recommendations for startup founders in digital health who decided to hire an ML specialist. How to build good communication, how to set the goals and expectations correctly? If you have any questions you'd like to ask, please add them in the comments to this video. BeKey: https://bekey.io/ BeKey Startup Hub: https://startuphub.co.il/   / bekeyinc   Our previous episode with Dhruv Agrawal. Aether Biomedical - Future of Prosthetic Devices is Here    • Aether Biomedical - Future of Prosthetic D...   #digitalheatlh #softwaredevelopment #hardwaredevelopment #medtech #wearables #healthtech #machinelearning #capsuleendoscopy #standwithukraine #stopwar