The Register: Just cough into your phone, please… MIT lab thinks it can diagnose COVID-19 from the way you expectorate

The Register: Just cough into your phone, please… MIT lab thinks it can diagnose COVID-19 from the way you expectorate. “Academics claim their AI software can detect, with 98.5 per cent accuracy, whether or not someone has caught the COVID-19 coronavirus, just from the sound of their coughing. To build this software, the MIT team used three ResNet50 models, a popular convolutional neural network designed by Microsoft. They’re normally used to process images for computer vision, though in this case they’re analyzing audio.”

IBM: Our AI correctly predicts onset of Alzheimer’s 71% of the time, better than standard clinical tests (The Register)

The Register: IBM: Our AI correctly predicts onset of Alzheimer’s 71% of the time, better than standard clinical tests. “Machine-learning algorithms analyzing human communication can predict whether someone will develop Alzheimer’s disease more accurately than standard biomedical screening, say IBM and Pfizer.”

Science Daily: New tool can diagnose strokes with a smartphone

Science Daily: New tool can diagnose strokes with a smartphone. “A new tool created by researchers at Penn State and Houston Methodist Hospital could diagnose a stroke based on abnormalities in a patient’s speech ability and facial muscular movements, and with the accuracy of an emergency room physician — all within minutes from an interaction with a smartphone.”

CGTN: China develops AI model that can tell COVID-19 from other respiratory diseases in 3 seconds

CGTN: China develops AI model that can tell COVID-19 from other respiratory diseases in 3 seconds. “Chinese researchers have developed an artificial intelligence (AI) system that can help doctors discriminate COVID-19 from flu and other respiratory diseases in less than three seconds, according to a paper published in the journal Nature Communications earlier this month.”

Ubergizmo: Finland Deploys COVID-19 Sniffer Dogs At The Airport

Ubergizmo: Finland Deploys COVID-19 Sniffer Dogs At The Airport. “We’ve all seen how dogs are deployed at checkpoints along the border or at airports to help sniff out drugs and other illegal substances that people should not be bringing into a country, but could sniffer dogs also be used to sniff out diseases in people, like the coronavirus? Apparently so, or that’s what Finnish researchers believe.” There’s already been quite a bit of research done into dogs sniffing out coronavirus.

Stevens Institute of Technology: A.I. Tool Promises Faster, More Accurate Alzheimer’s Diagnosis

Stevens Institute of Technology: A.I. Tool Promises Faster, More Accurate Alzheimer’s Diagnosis. “By detecting subtle differences in the way that Alzheimer’s sufferers use language, researchers at Stevens Institute of Technology have developed an A.I. algorithm that promises to accurately diagnose Alzheimer’s without the need for expensive scans or in-person testing. The software not only can diagnose Alzheimer’s, at negligible cost, with more than 95 percent accuracy, but is also capable of explaining its conclusions, allowing physicians to double check the accuracy of its diagnosis.”

ScienceDaily: ‘Selfies’ could be used to detect heart disease

ScienceDaily: ‘Selfies’ could be used to detect heart disease. “Sending a ‘selfie’ to the doctor could be a cheap and simple way of detecting heart disease, according to the authors of a new study published today (Friday) in the European Heart Journal. The study is the first to show that it’s possible to use a deep learning computer algorithm to detect coronary artery disease (CAD) by analysing four photographs of a person’s face.”

EurekAlert: LSU Health New Orleans team creates better tool to aid COVID diagnosis

EurekAlert: LSU Health New Orleans team creates better tool to aid COVID diagnosis. “An LSU Health New Orleans radiologist and evolutionary anatomist have teamed up to show the same techniques used for research on reptile and bird lungs can be used to help confirm the diagnosis of COVID-19 in patients. Their paper published in BMJ Case Reports demonstrates that 3D models are a strikingly clearer method for visually evaluating the distribution of COVID-19-related infection in the respiratory system.”

Bloomberg: Dogs Can Sniff Out Coronavirus Infections, German Study Shows

Bloomberg: Dogs Can Sniff Out Coronavirus Infections, German Study Shows. “Dogs with a few days of training are capable of identifying people infected with the coronavirus, according to a study by a German veterinary university. Eight dogs from Germany’s armed forces were trained for only a week and were able to accurately identify the virus with a 94% success rate, according to a pilot project led by the University of Veterinary Medicine Hannover. Researchers challenged the dogs to sniff out Covid-19 in the saliva of more than 1,000 healthy and infected people.”

Medical Xpress: Using lung X-rays to diagnose COVID-19

Medical Xpress: Using lung X-rays to diagnose COVID-19. “Researchers from the Department of Computer Architecture and Technology at the University of Seville’s School of Computer Engineering (ETSII) are working on a system that uses X-ray images of patients’ lungs to help diagnose COVID-19. This system uses deep learning to train a neural network model that can distinguish between healthy patients, pneumonia patients and COVID-19 patients. This has been achieved using a freely accessible online database that medical professionals from around the world have been feeding with lung X-rays since the onset of the pandemic.”

EurekAlert: Innovative smartphone-camera adaptation images melanoma and non-melanoma

EurekAlert: Innovative smartphone-camera adaptation images melanoma and non-melanoma. “An article published in the Journal of Biomedical Optics (JBO), ‘Point-of-care, multispectral, smartphone-based dermascopes for dermal lesion screening and erythema monitoring,’ shows that standard smartphone technology can be adapted to image skin lesions, providing a low-cost, accessible medical diagnostic tool for skin cancer.”

EurekAlert: Artificial intelligence enhances brain tumor diagnosis

EurekAlert: Artificial intelligence enhances brain tumor diagnosis. “A new machine learning approach classifies a common type of brain tumour into low or high grades with almost 98% accuracy, researchers report in the journal IEEE Access. Scientists in India and Japan, including from Kyoto University’s Institute for Integrated Cell-Material Sciences (iCeMS), developed the method to help clinicians choose the most effective treatment strategy for individual patients.”