
How robots can tell how clean is ‘clean’
A sensor for autonomous cleaning robots can quantify the cleanliness of a given area.
Algorithms are sequences of well-defined, computer-implementable instructions to solve a class of specific problems or to perform a computation. We report on applications in health IT, digital health as well as artificial intelligence.
A sensor for autonomous cleaning robots can quantify the cleanliness of a given area.
Researchers have developed a range of artificial organ phantoms to serve as training platforms for surgeons.
More than 20 hospitals from across the world together with NVIDIA have used AI to predict Covid patients’ oxygen needs on a global scale.
Scientists have developed a novel method that uses artificial intelligence to screen for glaucoma.
Researchers have developed a way to extracts a person's circadian rhythm based on heart rate data provided by their smartwatch.
AI tools models are a powerful tool in cancer treatment. However, unless these algorithms are properly calibrated, they can sometimes make inaccurate or biased predictions.
Researchers have developed a new method to computationally optimize the shape and control of a robotic manipulator for a specific task.
Scientists have developed an algorithm to help a robot find efficient motion plans to ensure physical safety of its human counterpart.
A consortium aims to develop a platform that will serve as the basis for novel services and test the use of new artificial intelligence tools.
Artificial intelligence can recognise the biological activity of natural products in a targeted manner.
Researchers aim to speed up developing drugs against brain diseases through cutting-edge technology. They are generating an innovative technology platform based on high-density microelectrode arrays and 3D networks of human neurons.
New technology could transform the ability to accurately interpret HIV test results, particularly in low- and middle-income countries.
With LTech, the Lindera Software Development Kit, health tech company Lindera brings innovation and AI technology to the fitness industry.
Based on 20,000 nights of sleep, researchers have developed an algorithm that can improve the diagnosis, treatment and overall understanding of sleep disorders.
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.
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.
Scientists have developed a more accurate navigation system that allows robots to better negotiate busy clinical environments in general and emergency departments more specifically.
Machine learning helps some of the best microscopes to see better, work faster, and process more data.
In lab tests, researchers found that an optimized ankle exoskeleton system increased participants’ walking speed by about 40 percent compared with their regular speed.
Researchers use AI software to predict coronary artery plaque composition and significance without the risks of invasive procedures.
A study from Stanford University found limitations in the Food and Drug Administration’s approval process.
Scientists have developed algorithms that, combined with wearable sensors, could help clinicians to monitor the progression of Parkinson’s disease.
Human-machine interaction is complex. Researchers investigate a new form of interaction between humans and machines.
Deep learning technique optimizes the arrangement of sensors on a robot’s body to ensure efficient operation.
Researchers have found a way to coax particles and droplets into precise patterns using the power of sound.
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.
Researchers have developed a machine learning-based technique that speeds speeds up calculations of drug molecules' binding affinity to proteins.
Researchers have developed system for smart speakers to monitor both regular and irregular heartbeats without physical contact.
A researcher has demonstrated a technique that reduces the computing time for non-rigid point set registration relative to other approaches.