This ‘AI doctor’ can assess skin melanoma as accurately as human dermatologists

Scientists from the University of Gothenburg have developed an algorithm that assesses the severity of skin melanoma as accurately as dermatologists. The system was developed to help doctors determine the stage that a skin cancer has reached. While patients often independently find melanomas by spotting a new mole or a change in an existing one, even dermatologists can struggle to decide whether it’s invasive or not. The researchers suspected that AI could assist them with the task. [Read: How Polestar is using blockchain to increase transparency] They classified the melanomas with a convolutional neural network (CNN), a powerful method of analyzing images that’s proven…

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Scientists developed an AI system for predicting human psychosis

A team of European scientists led by researchers from the Max Planck institute recently developed the world’s first cybernetic system for predicting psychosis onset in high-risk patients. According to the NIH, about three percent of the general population (data is US-specific) will experience psychosis in their lifetimes. To put that in perspective, the odds you’ll be stung by a bee are approximately six million to one. Unfortunately, predicting psychosis in high-risk patients is a difficult task. The current paradigm requires intensive diagnosis by trained professionals at a specialized medical facility, something most of the world’s population lacks immediate access to.… This story continues at The Next Web

New AI system counts endangered elephants from space

Scientists have unveiled a new tool for monitoring endangered wildlife: an AI system that automatically counts elephants from space. The tech combines satellite cameras with a convolutional neural network (CNN) to capture African elephants moving through forests and grasslands. In tests, the surveying technique detected elephants as accurately as human observers, while eliminating the risk of disturbing the species. The research joins a growing range of AI projects that are seeking to protect endangered animals. “Accurate monitoring is essential if we’re to save the species,” said Dr Olga Isupova, a computer scientist at the University of Bath who created the detection algorithm. “We… This story continues at The Next Web

Study: Patients are less likely to follow advice from AI doctors that know their names

Engineers often strive to make our interactions with AI more human-like, but a new study suggests a personal touch isn’t always welcome. Researchers from Penn State and the University of California, Santa Barbara found that people are less likely to follow the advice of an AI doctor that knows their name and medical history. Their two-phase study randomly assigned participants to chatbots that identified themselves as either AI, human, or human assisted by AI. The first part of the study was framed as a visit to a new doctor on an e-health platform.  [Read more: This dude drove an EV from the Netherlands…This story continues at The Next Web

This AI can tell if you have prostate cancer by looking at your pee

Researchers at the Korean Institute of Science and Technology (KIST) recently developed a machine for detecting prostate cancer that only needs 20 minutes of your time and a few ounces of your pee to achieve near 100-percent accuracy. Human oncologists are only about 30% accurate when it comes to detecting the disease. This is a big deal. Background: Detecting prostate cancer is, quite literally, a pain in the ass. Under the current paradigm the disease is confirmed through a combination of lab work and invasive diagnostics. This involves a painful biopsy procedure where surgeons remove a tissue sample from the… This story continues at The Next Web

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