When does a patient die of cardiac arrest? A new artificial intelligence technology predicts When does a patient die of cardiac arrest? A new artificial intelligence technology predicts

When does a patient die of cardiac arrest? A new artificial intelligence technology predicts

When does a patient die of cardiac arrest? A new artificial intelligence technology predicts  Algorithms can detect patterns in a cardiac MRI that are not visible to the naked eye. Fatal arrhythmia is one of the most deadly but difficult to predict and therefore prevent.  But what if an AI system could provide some help? A study published this month in Nature Cardiovascular Research outlines an AI model that has been trained on images of patients' hearts and patients' backgrounds so that the AI ​​predicts whether and when a patient will die of cardiac arrest.   It is currently believed that artificial intelligence is more effective in this task than a doctor, as the artificial intelligence detects patterns in an MRI of the heart that are not visible to the naked eye.  “There are patients who may be at low risk of sudden cardiac death and get pacemakers that they may not need, ” said Natalia Traianova, senior author of SciTechDaily and professor of biomedicine at Johns Hopkins University (JOHNS HOPKINS). "High-risk patients do not get the treatment they need and could die prematurely. What our algorithm can do is identify who is at risk of cardiac death and when it will occur, allowing clinicians to decide exactly what to do."  Flatten hidden information Trajanova and her team used contrast-enhanced images of hearts so that information usually hidden from the naked human eye appears. Using this technique, the researchers were able to visualize the distribution of scars from hundreds of real patients at Johns Hopkins Hospital, giving them important information about scar patterns that doctors haven't yet had access to.  For his part, the study's first author, Dan Popescu, a former doctoral student at Johns Hopkins University, added that these scars can be distributed in different ways and they say something about a patient's chance of survival, stressing that "there is information hidden in them."  But is this technique accurate? The algorithms' predictions were further validated in tests with an independent group of patients from 60 health centers across the United States.  The team is now working on developing other systems to detect more diseases. New AI systems could forever revolutionize how heart disease is diagnosed and treated.     Musk reveals why Tesla stopped providing free chargers to its cars  Tesla has stopped including the free Mobile Connector package with new car orders.  The matter was first reported by a Tesla user on Twitter, and later confirmed by CEO Elon Musk .  The package, currently priced at $275, allows you to plug your Tesla into a wall outlet to charge the vehicle and get approximately 2 to 3 miles after an hour of charging.  “The usage stats for this feature were very low, so we found it not worth keeping,” said Elon Musk, responding to one of the people who commented on the news after it was widely shared by investor Sawyer Merritt. Plug adapters with portable connector kit.  Musk later tweeted that Tesla would cut the price of the mobile phone connector to $200 and make it easier to order the accessory along with a new car.   You don't need an adapter to charge your Tesla from one of the company's superchargers or the Tesla Wall Connector installed in your home. Currently, the charging package is listed as unavailable on the Tesla website.  This isn't the first time Tesla has removed the charging cable, as the company previously included Level 1 and Level 2 connectors with every new car, but has since discontinued it.   Tesla followed the step of "Apple" (Apple), which a few years ago removed the charger from the new iPhone devices, but it witnessed several lawsuits in global markets because of this step.  And Tesla isn't the first car company to do so, as Kia has also removed the charging cable for the new EV6.  Buyers can add the connector to their Tesla online store purchases, but the lack of an included charging connector means no home charging.

Algorithms can detect patterns in a cardiac MRI that are not visible to the naked eye. Fatal arrhythmia is one of the most deadly but difficult to predict and therefore prevent.

But what if an AI system could provide some help? A study published this month in Nature Cardiovascular Research outlines an AI model that has been trained on images of patients' hearts and patients' backgrounds so that the AI ​​predicts whether and when a patient will die of cardiac arrest.

It is currently believed that artificial intelligence is more effective in this task than a doctor, as the artificial intelligence detects patterns in an MRI of the heart that are not visible to the naked eye.

“There are patients who may be at low risk of sudden cardiac death and get pacemakers that they may not need, ” said Natalia Traianova, senior author of SciTechDaily and professor of biomedicine at Johns Hopkins University (JOHNS HOPKINS). "High-risk patients do not get the treatment they need and could die prematurely. What our algorithm can do is identify who is at risk of cardiac death and when it will occur, allowing clinicians to decide exactly what to do."

Flatten hidden information
Trajanova and her team used contrast-enhanced images of hearts so that information usually hidden from the naked human eye appears. Using this technique, the researchers were able to visualize the distribution of scars from hundreds of real patients at Johns Hopkins Hospital, giving them important information about scar patterns that doctors haven't yet had access to.

For his part, the study's first author, Dan Popescu, a former doctoral student at Johns Hopkins University, added that these scars can be distributed in different ways and they say something about a patient's chance of survival, stressing that "there is information hidden in them."

But is this technique accurate?
The algorithms' predictions were further validated in tests with an independent group of patients from 60 health centers across the United States.

The team is now working on developing other systems to detect more diseases. New AI systems could forever revolutionize how heart disease is diagnosed and treated.

Musk reveals why Tesla stopped providing free chargers to its cars

Tesla has stopped including the free Mobile Connector package with new car orders.

The matter was first reported by a Tesla user on Twitter, and later confirmed by CEO Elon Musk .

The package, currently priced at $275, allows you to plug your Tesla into a wall outlet to charge the vehicle and get approximately 2 to 3 miles after an hour of charging.

“The usage stats for this feature were very low, so we found it not worth keeping,” said Elon Musk, responding to one of the people who commented on the news after it was widely shared by investor Sawyer Merritt. Plug adapters with portable connector kit.

Musk later tweeted that Tesla would cut the price of the mobile phone connector to $200 and make it easier to order the accessory along with a new car.

You don't need an adapter to charge your Tesla from one of the company's superchargers or the Tesla Wall Connector installed in your home. Currently, the charging package is listed as unavailable on the Tesla website.

This isn't the first time Tesla has removed the charging cable, as the company previously included Level 1 and Level 2 connectors with every new car, but has since discontinued it.

Tesla followed the step of "Apple" (Apple), which a few years ago removed the charger from the new iPhone devices, but it witnessed several lawsuits in global markets because of this step.

And Tesla isn't the first car company to do so, as Kia has also removed the charging cable for the new EV6.

Buyers can add the connector to their Tesla online store purchases, but the lack of an included charging connector means no home charging.

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