Introduction

For Episode 9 we interviewed doctor Bart-Jan Verhoeff, who’s a nephrologist (a doctor specialized in kidney diseases) at the St. Jansdal hospital in Harderwijk, the Netherlands, where he’s also Chief Medical Information Officer (CMIO). Among many he’s also known as dokter.ai, from his blog. He trained himself in machine learning to develop an algorithm able to predict the likelihood of reuptake of his patients. Verhoeff emphasises the usefulness of machine learning as a method for using patient data intelligently. …

Introduction

Jonathan Berte is the founder and CEO of Robovision, a turnkey AI solution provider with a powerful deep learning platform called RVAI.

The company is specialized in deep learning-based machine vision and robot programming and is focused on the design, development and deployment of complete automation processes, where illumination, digital cameras, robots and artificial intelligent agents play an important role.

Since recently the company has also become active in the medical field for labeling radiological images in the development of DL algorithms. The RVAI platform is not only able of speeding up the labeling process…

Introduction

This interview was made during the ECR 2019 meeting in Vienna, one of the largest radiology meetings in the world, with over 30.000 attendees. It is the second of a series of interviews that was organised by the European Society of Medical Imaging Informatics (EuSoMII). These interviews can also be listened to on the EuSoMII on AIR podcast.

Prof. dr. Bram van Ginneken is Professor of Medical Image Analysis at Radboud University Medical Center and chairs the Diagnostic…

Introduction

This interview was made during the ECR 2019 meeting in Vienna, one of the largest radiology meetings in the world, with over 30.000 attendees. It’s part of the series of interviews that was organised by the European Society of Medical Imaging Informatics (EuSoMII). These interviews can also be found on the EuSoMII on AIR podcast.

Dr. Hugh Harvey is radiologist and Clinical Director at Kheiron Medical, a company focusing on the development of artificial intelligence software for breast…

I interviewed Catherine Yang, corporate vice-president of Baidu since 2017. She’s in charge of the artificial intelligence commercialization. Prior to Baidu she was vice president for Microsoft China and responsible for the intelligence cloud business operations. Before that she was vice president and general manager for GE Healthcare IT for Greater China Region. We spoke about the evolution of the market for artificial intelligence in healthcare in China and globally, about the sharing and usage of medical data and about the value of…

Platforms to build medical AI datasets and algorithms

The fourth episode of my podcast “Exploring the Horizon” is about platforms to build medical AI datasets and algorithms. I interviewed George Shih, who is a radiologist at the Weill Cornell Medical Center in New York City and electrical engineer. He’s also the founder of the MD.ai platform, which he created to participate in Kaggle competitions, and to help other participants in doing so. Besides the features and value of the platform, we discussed topics such as the value of making medical image data available, sharing them, and involving radiologists in this process. …

Medical Imaging and AI for Developing Countries

Episode 3 of my podcast “Exploring the Horizon” is about the need for radiological resources and the opportunities for AI solutions in economically developing countries and underserved areas. By listening to the podcast you will learn more from Herman Oosterwijk’s experience in this field. He’s a well-known PACS expert, who also has been active in developing countries for more than 15 years. The first part of this blog is a summary of the interview. In the second part I describe several radiology projects in emerging countries, in which the potential of combining compact and cloud-based solutions with AI is demonstrated.

The Quest for Medical Data

Those interested in the 35 min. interview with Prof. Andreas Maier are invited to listen to the podcast,Episode 2 of “Exploring the Horizon”.

As you probably know there is an ongoing quest for medical data and images to develop algorithms able to perform “simple” tasks such as image segmentation, detection of abnormalities and classification findings, which is mostly the case in radiological applications. These tools are are mainly based upon Deep Learning algorithms, for which the availability of curated and annotated medical data is an absolute prerequisite. You can read more about the challenges involved in collecting and curating…