machine learning Archives

Denmark: new video out on EHRs and machine learning for decision support

Uffe Kock Wiil, Professor at SDU Health Informatics and Technology, published a new video on "Digital health records and machine learning lead to decision support in hospitals".…

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October 7, 2022

Backgrounds / Concepts & Background

AI in healthcare: key concepts explained

The key concepts in health-related AI explained: machine learning, deep learning, neural networks, natural language processing and support vector machine

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October 23, 2021

Predictive Genomics: Harnessing Genetic Data

Predictive genomics allows using genetic data to help predict common disease risks and drug responses. However, dystopian visions of dividing between ‘good genes’ and ‘bad genes’ are expected to enter future public debates

Augmented Reality in Healthcare: From Operating Rooms to Smartphones

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

Augmented Reality in Healthcare: Doctors to Gain Superhuman Powers

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

Digital Health Organisations Who Operate in Europe

Robust organisations comprise a special feature of the European digital health landscape, not known elsewhere. All strong global and pan-European organisations work here

Challenges of NFTs in Healthcare: What Will Future Healthcare NFTs Look Like

The infancy of non-fungible tokens reflects in security breaches and privacy concerns, in legal, blockchain related and environmental issues, in lack of awareness. Easy to operate and to understand, governed and regulated, NFTs shall be first adopted by EHR vendors and manufacturers of medical devices, then by the public

Future Focus Areas in European Digital Health

proactive policies, automated compliance, shift of health data ownership to patients, action-based healthcare services by European digital health platforms, pan-European framework for approval of digital therapeutics, NLP-enabled EU-interoperable electronic health records, awareness and motivation in telemedicine, massive adoption of FARE data principles, remedies to black box perception and rewards for digital health literacy, standard AI for clinical support systems

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