On Monday 25th May from 11am – 12pm BST Intelligent Health Inspired will be hosting an exclusive and candid interview with key experts in the field, on COVID-19: Current landscape, use of technology, obstacles and the future.
On Monday 25th May from 11am – 12pm BST Intelligent Health Inspired will be hosting an exclusive and candid interview with key experts in the field, on COVID-19: Current landscape, use of technology, obstacles and the future.
Topics: AI, Medicine, Digital Health, HealthTech, MedTech
Topics: Medicine, Digital Health, HealthTech, MedTech, COVID-19
“How very little can be done under the spirit of fear” – Florence Nightingale
Topics: AI, Medicine, Digital Health, HealthTech, MedTech
Owkin is introducing the Covid-19 Open AI Consortium (COAI) to bring breakthrough medical discoveries and actionable findings to the fight against the Covid-19 pandemic.
Topics: AI, Medicine, Digital Health, HealthTech, MedTech
These are difficult times affecting all aspects of our life and society. Digital health technologies such as AI, big data, 5G and robotics are critical tools in the fight against COVID-19.
Topics: Medicine, Digital Health, HealthTech, MedTech
Being asked by Fondation Botnar to moderate a panel uniting unique perspectives was exciting. Even more so when the topic was one that in recent times has stimulated academics, had an influx of global media debate, and fuelled campaigners to advocate for content regulation: the relationship between digital technologies, adolescents and mental health.
Topics: Medicine, Digital Health, adolescent, brain
As reported in MobiHealthNews and Medium, a person can now download an app that allows them to monitor themselves for early signs of skin cancer by taking a photo of their skin spots with their smartphone.
This app with it’s cognitive code, created by SkinVision, calculates the fractal dimension of skin lesions and surrounding tissue and builds its own map that reveals different growth patterns. The algorithm checks for irregularities in colour, texture and the shape of the lesion and sends back its diagnosis: low, medium or high-risk. It correctly identifies dangerous melanomas 96% of the time, way better than family doctors (60%), dermatologists (75%) and even specialist dermatologists (92%). And all of this happens within 30 seconds of you pressing the button marked SEND.
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Topics: Digital Health, Cancer
''Calling all data scientists, technology companies, academic institutes and any other professionals looking to solve digital health challenges’'
We're excited to announce our first 3 Clinect challenges submitted by the NHS and leading Mexican pharmaceutical company Medix – can you solve these problems?
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Topics: Digital Health, Clinect Challenge
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