In order to analyze and discuss some of the main challenges currently facing their countries, as well as future prospects for collaboration, representatives from nine countries of…
Healthcare has been promised a vast improvement by artificial intelligence (AI) technology for many years. With AI's promise to increase access to and understanding of data, provide…
surgical robots, therapeutic robots, social robots, what will they be able to in future healthcare? Will we accept it?
no domination, open to customisation, interoperability due to wide collaboration in development vs local capacity, lack of guidelines, maintenance issues. Share infrastructure in healthcare. Health layers in an open source solution
Improved patient care, better public health data, fewer errors vs organisational restrictions on data sharing, low standartisation, issues with consent and digital literacy
AI in detection and diagnostics, in health trends analysis, personal health assistants, care chatbots, potential adoption is immense. An experienced practitioner elaborates upon AI advancement in the near future, on the challenges that await. Will AI manage and rule the healthcare of tomorrow, to what extent and how?
Robotic surgery, ingestible sensors, connected inhalers and contact lenses. Depression, hygiene, heart-rate, glucose monitoring. Motivation and analytics. Internet of Medical Things provides it all and can do more, if identified challenges are addressed
Functionality, system design and user experience of blockchain based health data sharing are presented in the second publication in the series 'Blockchain for healthcare'
How digital twin may and will be used in healthcare? Genomic and mobile twins, digital twins in metaverse, semi digital twins explained, with a brief on the coming challenges to digital copies of ourselves
The central question is how to measure value of health outcomes. Though no objective assessment is possible now, in the future value based healthcare may become a norm
