THE ARTIFICIAL INTELLIGENCE THAT CAN BLOW HUMAN PILOTS OUT OF THE SKY IN AIR-TO-AIR COMBAT ACCURATELY PREDICTED TREATMENT OUTCOMES FOR BIPOLAR DISORDER

                                                             

The artificial intelligence that can blow human pilots out of the sky in air-to-air combat accurately predicted treatment outcomes for bipolar disorder,this comes after Cohen's doctoral graduate Nicholas Ernest is founder of the company Psibernetix, Inc., an artificial intelligence development and consultation company. Psibernetix is working on applications such as air-to-air combat, cybersecurity and predictive analytics.

Fifteen of the 20 patients responded well to the treatment.The algorithm used an analysis of two types of patient brain scans, among other data, to predict with 100 percent accuracy which patients responded well and which didn't. And the algorithm also predicted the reductions in symptoms at eight weeks, an achievement made even more impressive by the fact that only objective biological data were used for prediction rather than subjective opinions from experienced physicians.

Ernest's fuzzy logic algorithm is able to sort vast possibilities to arrive at the best choices in literally the blink of an eye.His team developed a genetic fuzzy logic called Alpha capable of shooting down human pilots in simulations, even when the computer's aircraft intentionally was handicapped with a slower top speed and less nimble flight characteristics.

The system's autonomous real-time decision-making shot down retired U.S. Air Force Col. Gene Lee in every engagement.Cohen spent much of his career working with fuzzy-logic based AI in drones. He used a sabbatical from the engineering college to approach the UC College of Medicine with an idea: What if they could apply the amazing predictive power of fuzzy logic to a particularly nettlesome medical problem?UC's new study, funded in part by a grant from the National Institute of Mental Health, identified 20 patients who were prescribed lithium for eight weeks to treat a manic episode. 

Now the UC researchers and Psibernetix are working on a new study applying fuzzy logic to diagnosing and treating concussions, another condition that has bedeviled doctors

The impact on society could be profound,

Sources:
https://medworm.com/356849229/ai-that-can-shoot-down-fighter-planes-helps-treat-bipolar-disorder/The impact on society could be profound,

ARTIFICIAL INTELLIGENCE PREDICTS PATIENT LIFESPANS

Computer's ability to predict a patient's lifespan simply by looking at images of their organs is a step closer to becoming a reality, thanks to new research led by the University of Adelaide.

Researchers from the University's School of Public Health and School of Computer Science, along with Australian and international collaborators, used artificial intelligence to analyse the medical imaging of 48 patients' chests. This computer-based analysis was able to predict which patients would die within five years, with 69% accuracy -- comparable to 'manual' predictions by clinicians.

While the researchers could not identify exactly what the computer system was seeing in the images to make its predictions,the most confident predictions were made for patients with severe chronic diseases such as emphysema and congestive heart failure.The next stage of their research involves analysing tens of thousands of patient images.

The researchers hope to apply the same techniques to predict other important medical conditions, such as the onset of heart attacks.The next stage of their research involves analysing tens of thousands of patient images.

sources:
https://www.studyfinds.org/ai-predict-lifespan-longevity/