In our series of publications about AI we reflect on the developments to guide life sciences researchers, entrepreneurs and clinicians in their efforts to transform healthcare with AI. In our whitepaper we give you insights on accelerating Artificial Intelligence for healthcare and life sciences.
Digital care: signal COVID-19 with a bracelet
A bracelet that continuously monitors your body temperature and breathing pattern and thereby can detect symptoms of COVID-19 at an early stage. Rick Grobbee, Professor Clinical Epidemiology at UMC Utrecht, and his team…
Artificial Intelligence in Healthcare – Opportunities and Challenges
Whitepaper: Artificial Intelligence in Healthcare - Opportunities and Innovation Challenges ttopstart's series on AIIn this whitepaper ttopstart will give you insights on accelerating Artificial Intelligence for healthcare and life sciences. This paper will provide an...
AI solutions in healthcare
In our series of articles about artificial intelligence (AI) we discuss the biggest opportunities and challenges for scaling and implementing AI into life…
Vision on AI
Jasper Levink: “AI without a vision is fishing” ttopstart's series on AIIn healthcare, all eyes are on Artificial Intelligence (AI). New AI-driven technologies have the potential to boost personalised medicine, automate laborious tasks and facilitate data-driven...
AI workflow: the 4 components
One of the unique powers of using artificial intelligence in healthcare is that it can help retrieve and process valuable information, such as quantitative diagnostic characteristics, much faster and potentially…
AI challenge: The 8 biggest challenges and recommendations in implementing AI
Why are the expectations for AI solutions in healthcare sky high, but only few of them received authorisation and even fewer are used in the clinical setting? The…
Download whitepaper AI
In this whitepaper ttopstart will give you insights on accelerating Artificial Intelligence for healthcare and life sciences. This paper will provide an overview of the opportunities and challenges of implementing AI in healthcare and give actionable insights to help the different stakeholders to overcome barriers and develop smarter strategies that accelerate the introduction of such AI innovations.