In the healthcare industry, early and accurate diagnosis of diseases has always been a critical aspect of proper treatment. That being said, while AI and analytics proved to be immensely beneficial for the industry in making accurate diagnosis decisions and detection of different types of cancers, it has always been the doctors who have been taking the last call. A lot of this could be attributed to the level of expertise doctors bring to the table.

However, challenging the notion, researchers from MIT’s computer science and artificial intelligence lab (CSAIL) developed an AI and ML system that can not only diagnose medical conditions but can also defer the expert’s decision in certain aspects. The AI system has been developed to address the challenge analysing the ability and experience of the human involved.

According to researchers — Hussein Mozannar and David Sontag, the system uses two separate ML models — one to make decisions and another to agree or defer human choices. Here, the latter model is known as “the rejector” which has been designed with an aim to improve the human decision-making process.

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