Surgical data science: data-driven assistance in the OR
In the next-generation operating room interconnected sensors will collect data, analyse it in real-time and make it available to digital assistance functions.
big data
Catching Z’s, capturing data: DIY wearable
Researchers are creating a wearable electronics device that can read brain waves while allowing the wearer to easily drift off into the various stages of sleep.
Federated learning allows hospitals to share data privately
Researchers have shown that federated learning is successful in the context of brain imaging, by being able to analyze MRI scans of brain tumor patients and distinguish healthy brain tissue from cancerous regions.
Genetic diseases research with quantum computing
Scientists are harnessing the mind-bending potential of quantum computers to help us understand genetic diseases – even before quantum computers are a thing.
Cloud vs.edge computing: rethinking healthcare infrastructure
Newer concepts like edge computing are regularly discussed alongside the cloud within the healthcare sector, often as if they are each exclusive approaches to infrastructure. However, using one does not eradicate the ability to utilise the other.
Smart ring detects COVID-19 early
According to new research, the Oura smart ring is indeed suitable for detecting COVID-19 infection up to three days before symptoms appear.
Smart algorithm finds possible future treatment for childhood cancer
Using a computer algorithm, scientists at Uppsala University have identified a promising new treatment for neuroblastoma.
Deep learning identifies molecular patterns of cancer
An AI platform can analyze genomic data extremely quickly, picking out key patterns to classify different types of colorectal tumors and improve the drug discovery process.
AI-driven blood cell classification supports leukemia diagnosis
Researchers show that deep learning algorithms perform similar to human experts when classifying blood samples from patients suffering from acute myeloid leukemia.
Big data can be used for personal health
Years-long tracking of individuals’ biology helped define what it meant for them to be healthy and showed how changes from the norm could signal disease.
AI identifies key patterns of infant movements
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.
Beware of medical ‘shadow’ records, ‘black box’ tools
A team of experts led by two University of Michigan researchers calls for attention to this shadow record.
About the end of medicine, as we know it
Our health system today can no longer be sustained in its existing form. It has become too expensive and too ineffective.
Fitbits may be the answer to nurse fatigue
Activity trackers might lead to better outcomes for hospital patients — when nurses wear them.
Big datasets help identify causes for pediatric diseases
Researchers use the analogy of raindrops on the sidewalk to explain their new method to identify genetic variations that cause severe pediatric diseases.
AI and IoMT spur healthcare industry growth
AI, Big Data, wearables and sensor technologies are driving the growth of smart hospitals and assisting with the home healthcare sector.
Using big data to predict immunotherapy responses
In the age of big data, cancer researchers are discovering new ways to monitor the effectiveness of immunotherapy treatments.
Blockchain – paradigm shift towards patient-centered healthcare
The use of blockchain will change paradigm towards patient-centered healthcare.
Transactions, trust and tokens – Blockchain for healthcare
“A central pillar of blockchain is trust, because data cannot be altered,” says Dr Eberhard Scheuer, Chairman of the Health Information Traceability Foundation.
Machine learning flags emerging pathogens
A new machine learning tool could be useful for flagging dangerous bacteria before they cause an outbreak, from hospital wards to a global scale.
Digital healthcare system: Germany must catch up
In his new role Federal Health Minister Jens Spahn explains at conhIT 2018 the priorities for digitalising the healthcare system. We must catch up!
Data and technology transform Australian medical system
Australian eHealth strategy pushes towards a digital health services ecosystem which will lead to greater involvement and responsibility for consumers.
Transforming the healthcare industry through going to the cloud
Google set it sigths to transform the healthcare industry through the use of cloud technologies and machine learning.
Big data opens door to big possibilities in healthcare
How University of Alberta health scientists are helping fulfil the promise of big data to revolutionize everything from prevention to diagnosis to treatment.
Big Data helps preventing misdiagnosis’
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.