All over the world, it has become an undebatable fact that the use of AI in medical diagnosis has been beneficial. The advancement of technology has made it possible to develop an implantable artificial intelligence monitoring and seizure detection helmet (Implantable Electroencephalogram or IEEG) to decompress brain surgery.
Seizures have been a profound, disturbing disorder in patients over the years. In 2015, the neurological disorder was recorded as the second world-leading mortality rate worldwide with a total of approximately 9.4 million deaths, which has been vividly disturbing. However, the use of AI in medical diagnosis has helped to curtail the occurrence of seizures.

Seizure: What is it?

The current monitoring techniques used in hospitals or healthcare facilities using bulky devices in less than 24 hours, provide a brief print of brain activity, making seizures most often difficult to detect. A seizure is a sudden electrical disturbance in the brain that can cause changes in feelings, behaviour or movement. Two or more recurrent seizures lead to epilepsy.
Seizures can be caused by high fever, alcohol, high or low blood sugar, brain concussion or drug withdrawal. Most seizures can be controlled with medication, but others are too traumatic for anything to be done about them. Some of the symptoms are uncontrolled jerking of the legs and arms, loss of consciousness, temporary confusion and others.

Artificial Intelligence
Photo Credit: CSIRO research

AI in medical diagnosis has been very helpful over the years. As a solution, researchers from an Australian Government Research Agency, responsible for industrial, scientific research, known as Commonwealth Scientific and Industrial Research Organization’s (CSIRO) Data61 invented an implantable wireless artificial intelligence monitoring and seizure detection helmet system purposely designed to detect and control seizure disorders for all patients who have gone through decompressive brain surgery.
This system has expanded the scope of medical research and data collection for wide medical purposes, making it easy and accessible to doctors or hospitals to help patients with brain disorders.
According to the research team,  the artificial intelligence seizure detection helmet can transfer any collected data to a healthcare practitioner using wireless communication. Also, the detection system has been developed and equipped using data from traumatic brain injury source from Monash University in Australia, to monitor brain activity occurring as seizures in an inactive manner before it is reactivated as and when a seizure is detected.
Data gathered from the new monitoring system can be used for administering drugs, and other informed decisions about a patient’s brain activity will enable further study on the ideal helpful time to achieve the best patient outcome through consistent monitoring of the brain activity such as brain swelling.
A system for chronic epilepsy is likely to be developed, due to the high regularity of seizures and the belief that improving this new system could decrease that number of occurrences. An explanation to this is that controlling and influencing brain activity post-surgery is very crucial to a patient’s recovery. This is because seizures are capable of occurring consistently, leading to the unfortunate development of epilepsy in patients.
In using AI in medical diagnosis, the new wireless invention system can continuously monitor brain activity, additionally giving patients the freedom to move around comfortably and to be socially active with others with less or no negative impacts. Also, it possibly enables an activity monitoring in real-time instead of reliance on the bulky monitoring devices in hospitals or clinics. These inventions show the fast pace at which technology is evolving to save lives.
More research is still in place by the research team to develop smart ways such as the smart detection helmet to monitor brain swelling in stroke and traumatic brain injury in patients. This will greatly bring neurological disorders completely under control by first detecting them and then lessening or eradicating their impacts.
 
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