KenSci: Explainable ML Press kit
While the use of machine learning and artificial intelligence in medicine has its roots in the earliest days of the field, it is only in recent years that there has been a push towards the recognition of the need to have healthcare solutions powered by machine learning. This has led researchers to suggest that it is only a matter of time before machine learning to be ubiquitous in healthcare. Despite the recognition of the value of machine learning (ML) in healthcare, impediments to further adoption remain. One pivotal impediment relates to the black box nature, or opacity, of many machine learning algorithms. This has led to the exploration of Explainable models in healthcare
This press kit is for media personnel, to:
- Understand the impact of explainable ML models in healthcare and how they are making an impact
- See examples of how KenSci uses explainable models in real life scenarios
- Dive deep into the research performed by experts at KenSci and understand our expertise on interpretable models in healthcare
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