Graph-based deep learning for medical diagnosis and analysis
Grasp the basics of graph neural networks, architectures, and their applications in healthcare.
2 minute read
Main Technology
Making sense of messy data with NLP
Healthcare data is often stored and processed in silos with only a fraction of the information used to profile the risks of patients. So what if there was a tool to change that?
3 minute read
Main Technology
Your intelligent virtual assistant awaits
Kore.ai is transforming digital interactions into something more conversational and personalized, via their AI-powered virtual assistants
3 minute read
Literature
MCUNet: Tiny deep learning on IoT devices
The exciting concept of microcontroller units (MCU) that enable machine learning on tiny IoT devices
2 minute read
AC Observations
Deep learning in medical image interpretation: Common pitfalls
Seven key observations from the many manuscripts submitted to new journal Intelligence-Based Medicine. A must-read
2 minute read
AC Observations
Natural language processing and healthcare: Chasing Mother Nature's language
Despite the promising future of natural language processing, is Mother Nature’s genetic code still the most sophisticated ‘natural’ language?
2 minute read
Literature
Deep learning-enabled medical computer vision
The unmissable article that surveys recent progress in the development of modern computer vision techniques—powered by deep learning—for medical applications
2 minute read
AI in Medicine
CONSORT-AI: The new standards for clinical trials involving AI
In the days when standardization was absent, researchers were not obliged to share clinical trial data and whether participants were voluntarily recruited into their studies. These inadequate and poor-quality outcome reporting challenged succeeding researchers to evaluate, replicate and build upon p
3 minute read
AI in Medicine
Utilizing natural language processing to assess healthcare quality
About 10 years ago in the US, there was a huge effort to measure healthcare quality; to understand how well a system or an institution is providing care and services. Many metrics and interventions were developed as a result to assess efficiency and target areas for improvement. In spite so, a lot o
4 minute read