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Digital Identity and afterlife coverage at SXSW

A list of events at SXSW that all deal with digital identities and afterlife.

Virtual Interviews: A Chat With Darwin’s Ghost
#syntheticinterview
Ralph Vituccio and John Dessler
Carnegie Mellon Entertainment Technology Center
Synthetic Interview is a unique technology that allows people to have a conversation with a character or persona as if that person were present in real-time. The goal is creating immersive experiences, allowing guests to interact with a digital character from either the past, the present or the future.

People Die, Profiles Don’t
#peopledieprofilesdont
Jesse Davis with Entrustet
Talk about companies and how they deal with users deaths. What can websites do to streamline the process of handling the deceased’s wishes for their online accounts?

eSee Technologies
#eSeetech
Ian Mitchell
Augmented Reality device that may serve life loggers and average Web users alike at eseetechnologies.com.

I also saw this article that Apple has hired Richard DeVaul of AWare Technologies who is an expert in heads up technology. Can you say iSee?

What If Your Phone Had Five Senses?
#phonehad5senses
Ted Power of Google
The phone in your pocket has the sense of sight (camera), sound (microphone), touch and location. They also have sense of light, proximity, acceleration, orientation. All these senses potentially serve to describe your experiences and enrich your digital identity.

My Life, Take Two: The Right to Delete
#mylifetaketwo
Panel
Most of us have incidents in our past that we’d rather leave there – but that’s getting harder in a world teeming with tools and devices that capture our actions and record them forever. Do we have a ”right to delete” records and data about ourselves? Can we? Should we?

Have You Planned for Your Digital Afterlife?

Interview with Adel Mcalear
@DigitalLegacy

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Google may be more accurate at predicting when a patient is going to die than doctors and current hospital warning systems. Their ‘Medical Brain’ Team is masterfully helping Google break into the health-care sphere. They have begun training their AI system to assess the risk of death in hospital patients by reviewing 175,639 data points present in patient’s electronic medical records. Not only does their system assess current medical records (lab results, vital signs etc.) and dig up information about age, ethnicity, gender...it can also decipher and interpret buried away handwritten notes on charts or information scribbled away on PDFs. “In general, prior work has focused on a subset of features available in the EHR [Electronic Health Record], rather than on all data available in an EHR, which includes clinical free-text notes, as well as large amounts of structured and semi-structured data.” - Google’s team One major case study highlighting the (morbid) success of Google’s system involves a woman with metastatic breast cancer. 24 hours after her admission Google gave the woman a 19.9% chance of dying in the hospital, whereas the hospital’s augmented Early Warning Score estimated only a 9.3 chance. Less than two weeks later the woman passed away in the hospital. As a whole, Google has analyzed 216,221 hospitalizations and 114,003 patients - giving them over 46 billion data points from their electronic health records. While Google’s algorithm is not perfect, it appears to predict when you will die with up to 95% accuracy (as compared to roughly 85% accuracy from current hospital Early Warning Scores). Less grim than predicting death, Google’s AI can also forecast many other patient outcomes including how long people may stay in the hospital and their odds of readmission. The ability to possibly smooth out the process of entering data and improve how that data is used could cut down human error in medical care and greatly improve patient care. To read Google’s paper published in Nature, click here To read the in depth Bloomberg article on the subject, click here
Google’s AI Can Now Predict Death With 95% Accuracy

Google may be more accurate at predicting when a patient is going to die than doctors and current hospital warning...

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