AI app could help diagnose HIV more accurately
New technology could transform the ability to accurately interpret HIV test results, particularly in low- and middle-income countries.
algorithm
Intelligent algorithms for movement apps
With LTech, the Lindera Software Development Kit, health tech company Lindera brings innovation and AI technology to the fitness industry.
AI enhances efficacy of sleep disorder treatments
Based on 20,000 nights of sleep, researchers have developed an algorithm that can improve the diagnosis, treatment and overall understanding of sleep disorders.
Self-learning robots go full steam ahead
Researchers have shown that a group of small autonomous, self-learning robots can adapt easily to changing circumstances. They connected the simple robots in a line, after which each individual robot taught itself to move forward as quickly as possible.
Eliminating bias from AI critical to improve equity
AI-driven healthcare has the potential to transform medical decision-making and treatment, but these algorithms must be thoroughly tested and continuously monitored to avoid unintended consequences to patients.
Smart system helps robots navigate emergency rooms
Scientists have developed a more accurate navigation system that allows robots to better negotiate busy clinical environments in general and emergency departments more specifically.
AI makes great microscopes better than ever
Machine learning helps some of the best microscopes to see better, work faster, and process more data.
Ankle exoskeleton increase walking speed
In lab tests, researchers found that an optimized ankle exoskeleton system increased participants’ walking speed by about 40 percent compared with their regular speed.
AI makes no-cath forecast
Researchers use AI software to predict coronary artery plaque composition and significance without the risks of invasive procedures.
Are AI devices evaluated appropriately?
A study from Stanford University found limitations in the Food and Drug Administration’s approval process.
Wearable sensors to track Parkinson's symptoms
Scientists have developed algorithms that, combined with wearable sensors, could help clinicians to monitor the progression of Parkinson’s disease.
Making AI understandable – constructing explanation processes
Human-machine interaction is complex. Researchers investigate a new form of interaction between humans and machines.
Algorithm designs soft robots that sense
Deep learning technique optimizes the arrangement of sensors on a robot’s body to ensure efficient operation.
Sonolithography: Using ultrasound for bioprinting
Researchers have found a way to coax particles and droplets into precise patterns using the power of sound.
AI can identify cancerous cells by their acidity
Using a special dye, cells are colored according to their pH, and a machine learning algorithm can detect changes in the color spectrum due to cancer.
Machine learning speeds up drug discovery
Researchers have developed a machine learning-based technique that speeds speeds up calculations of drug molecules' binding affinity to proteins.
Smart speakers contactlessly monitors heart rhythms
Researchers have developed system for smart speakers to monitor both regular and irregular heartbeats without physical contact.
Key task in computer vision gets a boost
A researcher has demonstrated a technique that reduces the computing time for non-rigid point set registration relative to other approaches.
AI identifies 'ugly ducklings' to catch skin cancer
Deep learning-based system enables dermatologist-level identification of suspicious skin lesions from smartphone photos, allowing better screening.
AI makes strides in search for COVID-19 treatments
A deep learning model that can predict how human genes and medicines will interact has identified at least 10 compounds that may hold promise as treatments for COVID-19.
Customized “brains” for robots
Researchers have developed an automated way to design customized hardware, or “brains,” that speeds up a robot’s operation.
AI enhances predictions of COVID-19 outcomes
Researchers have used "federated learning" to examine electronic health records to better predict how COVID-19 patients will progress.
Would we be able to control superintelligent machines?
Using theoretical calculations, scientists showed that it would not be possible to control a superintelligent AI.
AIs detect diabetic eye disease inconsistently
Although some artificial intelligence software tested reasonably well, only one met the performance of human screeners.
Biosensors convert signals to control prosthetics
High-five or thumbs-up? Researchers have developed a wearable sensor that detects which hand gesture you want to make.
Self-learning algorithms analyze imaging data
Artificial neural networks open up new possibilities in interpreting the time-consuming imaging ´data.
AI test predicts eye disease years before symptoms
A new eye test may predict wet age-related macular degeneration, a leading cause of severe sight loss, three years before symptoms develop.
Smartwatch can detect early signs of illness
Researchers have developed a smartwatch app designed to alert users when their bodies show signs of fighting an infection, such as elevated heart rate.
AI sees and hears COVID-19 in your lungs
Two deep learning algorithms that identify patterns of COVID-19 in lung images and breath sounds, may help in the fight against other respiratory diseases and the growing challenge of antibiotic resistance.
