A video recording of an infant lying in bed can be analyzed with artificial intelligence to extract quantitative information useful for assessing the child’s development as well as the efficacy of ongoing therapy.
A team of experts led by two University of Michigan researchers calls for attention to this shadow record.
Our health system today can no longer be sustained in its existing form. It has become too expensive and too ineffective.
Activity trackers might lead to better outcomes for hospital patients — when nurses wear them.
Researchers use the analogy of raindrops on the sidewalk to explain their new method to identify genetic variations that cause severe pediatric diseases.
AI, Big Data, wearables and sensor technologies are driving the growth of smart hospitals and assisting with the home healthcare sector.
In the age of big data, cancer researchers are discovering new ways to monitor the effectiveness of immunotherapy treatments.
The use of blockchain will change paradigm towards patient-centered healthcare.
“A central pillar of blockchain is trust, because data cannot be altered,” says Dr Eberhard Scheuer, Chairman of the Health Information Traceability Foundation.
A new machine learning tool could be useful for flagging dangerous bacteria before they cause an outbreak, from hospital wards to a global scale.
In his new role Federal Health Minister Jens Spahn explains at conhIT 2018 the priorities for digitalising the healthcare system. We must catch up!
Australian eHealth strategy pushes towards a digital health services ecosystem which will lead to greater involvement and responsibility for consumers.
Google set it sigths to transform the healthcare industry through the use of cloud technologies and machine learning.
How University of Alberta health scientists are helping fulfil the promise of big data to revolutionize everything from prevention to diagnosis to treatment.
Johns Hopkins researcher and his team describe a method to measure diagnostic errors from big data could be key to prevent disability and death from misdiagnosis and transform the field of diagnostic quality and safety.
