NVIDIA Chief of Medical AI: “Robotic platforms will soon create digital twins of surgical procedures, building simulation platforms for surgical trainees that allow them to “rehearse” different…
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
Until recently, an electronic health record (EHR) has been a digital version of a patient’s paper chart. However EHR solutions provide much richer functions today. What will the future bring?
Spoiler: expect sending thoughts, human enhancement, neural healthcare, virtual health twins
Three levels of public health in a society explained: from existential threats to disease prevention
With so much talk on problems and issues in digitising healthcare, it is useful look back and get the answer to the main question: why? What benefits do computers bring to our health?
The key concepts in health-related AI explained: machine learning, deep learning, neural networks, natural language processing and support vector machine
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
