When we work on complex prediction models with our inTrigue methodology, we are often asked to help clinicians and others to interpret these models by listing the patient features (attributes) which are used by the model to form its predictions.
To give you a taster of what's to come, meet Mr Roland Rott, Global GM of Women’s Health Ultrasound for GE Healthcare who joins our 2019 line up!
The Case Study Problem
This case study derives from an ongoing Volv engagement, which started in July 2017. A pharmaceutical company approached Volv Global to develop a prediction model to identify additional patients suffering from the rare disease treatable by its specialist medicine.
In this series of conversations with Volv leaders, I have been talking with Dr Mike Tremblay, Volv’s Chief Scientific and Medical Officer, about what differentiates the company in terms of value delivery into markets for our customers. I hope that this is of interest to those of you working with difficult to diagnose diseases and rare diseases in your daily activities.
Where can big tech companies make the biggest impact on healthcare?
That’s what Dr. Toby Cosgrove, Executive Advisor to Google Cloud and Former President & CEO of the Cleveland Clinic will be answering at Intelligent Health 2019 in Switzerland this September.
Cosgrove, who currently serves as an Executive Adviser to the Cleveland Clinic, is helping Google Cloud to achieve what is known in healthcare circles as the ‘quadruple aim’, an effort to improve patient experience, boost population health and reduce the cost of healthcare while also creating a better work experience for clinicians and staff.
Topics: AI, HealthTech
Healthcare is an industry that raises the highest hopes regarding the potential benefits of Artificial Intelligence (AI). Physicians and medical researchers will not become programmers or data scientists overnight, nor will they be replaced by them, but they will need an understanding of what AI actually is and how it works. Similarly, data scientists will need to collaborate closely with doctors to focus on relevant medical questions and understand patients behind the data.
Topics: AI, HealthTech
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