Stress-Testing Deep Learning Models: Building
- Imaging
- 24/04/2024
Amazon Bedrock is the best place to build and scale generative AI applications with large language models (LLM) and other foundation models (FMs). It enables customers to leverage a variety of high-performing FMs, such as the Claude family of models by Anthropic, to build custom generative AI applications. Looking back to 2021, when Anthropic...
READ MOREAs we step into the futuristic landscape of 2023, the healthcare sector is buzzing with the melody of Artificial Intelligence (AI). This melody harmonizes with the rhythm of Machine Learning (ML) and the lyrics of Natural Language Processing (NLP), orchestrating a healthcare revolution that's nothing short of a masterpiece. Here's a look at how these...
READ MOREIn the heart of the healthcare industry, a digital revolution is pulsing, driven by three IT trends that are reshaping the way we perceive and interact with health services. First on this transformative journey is the integration of Artificial Intelligence (AI). AI's prowess in enhancing drug discovery and refining medical imagery analysis is like...
READ MOREIn 2014, Stephen Hawking had warned that ‘the development of full artificial intelligence could spell the end of the human race’. 1 A bold statement indeed, but if we focus on the term ‘full’, we’ll understand that if not designed properly, certain level of autonomy that could be difficult to control and can be extremely damaging to fundamental...
READ MOREIn this space I explore monthly topics, from concepts to technologies, related to the necessary steps to build Digital Healthcare Systems. For the month of April 2021, I have invited João Santinha to co-author a brief article on ‘AI, Medical Liability, in a "Moving" Image’. We dive into the December 2020 topic and focus on the medical liability...
READ MOREOne of the most cost-effective ways to reinvent hospitals will be through information technology. Over the next decade we can give hospitals the equivalent of brains and nervous systems. The fully digitised hospital of the future will become a healing machine, sensitive to the precise needs of each patient, seamlessly supporting human caregivers...
READ MOREIt is not uncommon that healthcare management teams are heavily pressed for time. Why should they put AI solutions for their radiology department on their priority list? In this blog post, we propose 4 reasons why board members of hospitals and private clinics should put AI in radiology on their agenda and develop a strategy for incorporating AI solutions....
READ MOREIt is undeniable that laboratory testing is vital for the diagnosis, prognostication and therapeutic monitoring of human disease. Despite the many advances made for achieving a high degree of quality and safety in the analytical part of diagnostic testing, many hurdles in the total testing process remain, for example in the preanalytical phase when...
READ MORERobots were first used in cardiovascular medicine in the late 1990s as a part of the digital revolution . Since then, robotics have been applied to endovascular surgery, minimally invasive cardiac surgery, and interventional cardiology, to name a few fields. Robots give medical professionals the ability to diagnose, treat, and intervene more...
READ MOREMachine ethics is a new field of research at the interface of computer science and philosophy that aims to develop moral machines. It's all about creating machines that can make moral decisions based on computer technology. This project is inspired by the latest developments in artificial intelligence. If artificial intelligence (AI) is to be used...
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