AI for Affordable Healthcare

Thank you to all of our amazing speakers and fantastic contributed papers! Our workshop was attended by participants from across the world, who battled the timezones to join us and engage live.

We are delighted to announce the Best Paper Prize results:

Best Paper Prize Winner (prize: NVIDIA 2020Ti GU)

• XGMix: Local-Ancestry Inference with Stacked XGBoost. Arvind Kumar, Daniel Mas Montserrat, Carlos Bustamante, Alexander Ioannidis

Runner-up:

• IROF: a low resource evaluation metric for explanation methods. Laura Rieger, Lars Kai Hansen

We are disappointed that we could not hold this event in Ethiopia as planned. Our co-organisers and sponsors, the Ethiopian Biotechnology Institute, have provided a letter to workshop participants:

We would like to thank our invited speakers: Dr. Chris Paton, Dr. Edward Choi, and Prof. Sotirios Tsaftaris. Many thanks also to our sponsors, the Ethiopian Biotechnology Institute, Canon Medical Research Systems, NVIDIA, and the MICCAI Society. Finally we would like to thank the contributed paper authors and the attendees for making this workshop a success.

Workshop summary

Healthcare is under significant pressure: costs are rising, populations are aging, lifestyles are becoming more sedentary, and critically we lack experts to meet the rising demand. In addition, in under-developed countries healthcare quality remains limited. Meanwhile, AI has shown great promise for healthcare applications, and the digitisation of data and use of electronic health records is becoming more widespread. AI could play a key role in enabling, democratising and upholding high standards of healthcare worldwide, assisting health professionals to make decisions faster, more accurately and more consistently.

However, so far, the adoption of AI in real-world healthcare applications has been slow relative to that in domains such as autonomous driving. In this workshop, we aim to highlight recent advances and the potential opportunities, via a series of talks and panel discussion. We invite papers addressing general challenges important to the real-world deployment of AI in healthcare.

Healthcare in Ethiopia