The ability to look into your bones without invasive operations, the ability to peer back in time. Health data from flat screens onto and into a patient's body
AR is already in dentist clinics, nursing, medical imaging and education, pediatrics, remote surgeries. In the future, AR is likely to be taken out of operating rooms onto smartphones. Patients will see how time and unhealthy lifestyles may affect their bodies
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?
AI as OS for healthcare. Along the benefits, come the ethical concerns and legal challenges, "a loaded question". The role of AI in healthcare of 2030, 2040, and 2050
How do Europeans understand digital health? How it came about and developed, where are we now and what to expect. Major stakholders of the European digital health and startups
AI and IoMT embedded in smart contracts for clinical setting, blockchain based dynamic consent and other decentralised features of future clinical trials. All this is native to young researchers now, read an example of their vision
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
Governments, regulators, healthcare providers, AI professionals and educational institutions all have a responsibility to address the challenges in the adoption of AI in the healthcare sector
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
AI will be adopted into healthcare in three distinct phases, first addressing routine tasks before accelerating the shift to home-based care then acting as a clinical decision support
