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Combining feasibility with practicality in AI application development

The feasibility of applying AI to help solve imaging challenges in cardiology is clear. However, the emerging technology will only be adopted if it is practical and flexible enough to add value within the clinical workflow. In this session, IBM will share how the combination of global leadership in

< 1 minute read

The European Landscape – Italy

The Italian perspective on AI in healthcare is opti- mistic and Italian eHealth professionals appear to have the biggest expectations regarding AI helping to improve care outcomes and supporting better clinical decision-making. In Italy, the government, the Agency for Digital Italy (AGID), the acade

2 minute read

Five pitfalls in decisions about diagnosis and prescribing

Jill G Klein Author’s Summary I wrote this article in late 2004. As a social psychologist I was very aware of the role of decision-making biases in our judgments, and found it interesting that there wasn’t much awareness or discussion of these biases in medicine. The biases I covered in the paper i

3 minute read

An essential primer for radiologists

Gabriel Chartrand, PhD, Phillip M Cheng, MD, MS Eugene Vorontsov, BASc Eng Sci, Michal Drozdzal, PhD Simon Turcotte, MD, MSc, Christopher J Pal, PhD Samuel Kadoury, PhD, An Tang, MD, MSc Author’s Summary Deep learning is a class of machine learning methods that are gaining success and attracting int

2 minute read

How patients can become digital health entrepreneurs

Patients can become entrepreneurs in their own healthcare with the right push for engagement and if we make available enough learning materials and resources - the result will be a complete overhaul of our current healthcare structure. Health entrepreneurship is the pursuit of opportunity using scar

3 minute read
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