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Use cases
New library shows what AI in healthcare can already do today
The use of Artificial Intelligence (AI) in clinical settings is already a reality, one that has brought benefits to patients, healthcare stakeholders and wider society. These developments have now been highlighted in a library of use cases on ‘Artificial Intelligence in Healthcare’, published by COCIR.
The publication of this library of use cases fulfils COCIR’s commitment in its April 2019 White Paper: “Artificial Intelligence in Healthcare”. It followed the establishment in 2018 of COCIR’s dedicated Task Force on Artificial Intelligence in Health. These use cases detail how healthcare providers are embedding AI technology to help optimise their workflows, as well as showing how caregivers apply AI in both decision support and autonomous decision-making.
It is clear from this initial collection of use cases that AI in healthcare is already generating diagnosis and treatment opportunities that were not previously possible
Nicole Denjoy
COCIR Secretary General, Nicole Denjoy says, “It is clear from this initial collection of use cases that AI in healthcare is already generating diagnosis and treatment opportunities that were not previously possible. The examples cover an incredibly diverse range of topics; diagnosing psychiatric multi-morbidities, diagnosing lung and skin lesions; detecting calcium in coronary arteries; documenting the anatomy of the foetal brain - even preventing deaths from snakebites”.
This first set of use cases highlight the range of benefits that AI can bring to healthcare; however, this is only a fraction of the available potential. This is why COCIR is urging the creation of the optimum conditions for stimulating further growth and expansion of AI into further clinical fields, which will substantially improve both access to healthcare and health outcomes on a large scale.
The current COCIR library of use cases can be accessed here. This collection will be enriched periodically with new use cases to reflect further developments of AI in healthcare and provide interested parties with a centralised library.
Source: COCIR
22.01.2020
