It is the commitment to end discrimination, exclusion and poverty and to reduce inequalities and vulnerabilities that leave people behind
CIFS developed a first-of-its-kind Personalised Healthcare Index with FutureProofing Healthcare. The Index is a data-driven tool that measures the readiness of health systems for enabling the right…
The Humanome is made up of two parts, ‘Human’ and the suffix ‘-ome’. The suffix ‘-ome’ is related to the totality of a subject and here the…
Digitalisation of healthcare has from the started been plagued by a variety of challenges. Here is the list of most common problems to those who want to learn from others’ mistakes.
The key concepts in health-related AI explained: machine learning, deep learning, neural networks, natural language processing and support vector machine
Various challenges exist that can undermine or limit the adoption of AI, from the lack of digitalisation in the healthcare system to issues around trust and reluctance
The proliferation of AI adoption in healthcare is being driven by factors in and outside the health sector, from technological improvements to the increased availability of health-related data
