Artificial Intelligence

AI in healthcare is the use of algorithms and software to approximate human cognition in the analysis of complex medical data. The primary aim of health-related AI applications is to analyse relationships between prevention or treatment techniques and patient outcomes. AI programs have been developed and applied to practices such as diagnosis processes, treatment protocol development, drug development, personalized medicine, and patient monitoring and care. Health companies merging with other health companies, allow for greater health data accessibility. A large part of industry focus of implementation of AI in the healthcare sector is in the clinical decision support system. Examples of large companies that have contributed to AI algorithms for use in healthcare are: IBM, Microsoft, Intel etc.
Block Chain in healthcare: Block chain and distributed ledger technology (DLT) have great potential across healthcare to improve patient care and reduce costs. These emerging technologies have already started to take hold in healthcare networks, from clearinghouses to drug supply chains to provider-credentialing processes and other critical areas.
Digital therapeutics defined as a treatment or therapy that utilizes digital and often Internet-based health technologies to spur changes in patient behaviour. Digital therapeutics can be used as a standalone therapy or in conjunction with more conventional treatments. Digital therapeutics can be used for a variety of conditions such as including type II diabetes, Alzheimer's disease, dementia, congestive heart failure. Digital therapeutics can also be used to treat patients with psychological and neurological symptoms.
 
 
 
 
 

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