A robot scientist is ready for drug discovery
The robot scientist Eve has been assembled and is now operating at Chalmers University of Technology. Eve’s first mission is to identify and test drugs against Covid-19.
Search for: machine vision
Using machine learning to detect COVID-19 in X-rays
Students at Cranfield University have designed computer models that can identify COVID-19 in X-rays.
Your new lab partner: the robot scientist
Researchers have built an intelligent mobile robot scientist that can work 24-7, carrying out experiments by itself.
Microrobots designed to deliver drugs
A tiny robot mimics the movement of a starfish larva. Such microswimmers could deliver drugs to diseased cells with pinpoint accuracy.
Diabetes retinal screening through deep learning
Ubotica has developed a deep learning-based solution for detecting the presence of diabetic retinopathy indicators in retinal images.
Robotic hands manipulate objects with ease
A system can reorient over two thousand different objects, with the robotic hand facing both upwards and downwards.
ReSkin helps to discover a sense of touch
Carnegie Mellon University and Meta AI (formerly Facebook AI) want to increase the sense of touch in robotics, wearables, smart clothing and AI.
Enabling AI-driven advances without sacrificing privacy
Secure AI Labs is expanding access to encrypted health care data to advance AI-driven innovation in the field.
Monitoring mental health in cancer survivors with "FAITH"
AI-based solution FAITH is designed to monitor the mental health status of people who have undergone cancer treatment.
The progress and risks of artificial intelligence
Artificial intelligence has reached a critical turning point in its evolution, according to an international panel of experts.
Implantable AI platform detects pathological changes
Scientists have developed a bio-compatible implantable AI platform that classifies in real time healthy and pathological patterns in biological signals.
Robotic scanner automates diagnostic imaging in the eye
Engineers and ophthalmologists have developed a robotic imaging tool that can automatically detect and scan a patient's eyes for markers of different eye diseases.
Cloud computing expands brain sciences
A neuroscientist at University of Texas at Austin wants to democratize the field and support infrastructure.
AI platform to assess blood vessel anomalies
Researchers have developed an AI platform that could one day be used in a system to assess vascular and eye diseases.
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.
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.
Brain-computer interface generates personally attractive images
Researchers have succeeded in making an AI understand our subjective notions of what makes faces attractive.
How soft robots can turn rigid on demand
Researchers have developed a new type of control system that may broaden robots’ range of tasks and allow safer interactions with people.
Cardivascular diseases: digital twin improves therapy
Using mathematical image processing, scientists have found a way to create digital twins from human hearts.
How to train a robot - using AI and supercomputers
Computer scientists use TACC systems to generate synthetic objects for robot training.
Precision health in the palm of your hand
Recent breakthrough developments in technologies for real-time genome sequencing, analysis, and diagnosis are poised to deliver a new standard of personalized care.
Multifunctional sensor system could revolutionize smart contacts
Researchers have demonstrated a novel multifunctional ultrathin contact lens sensor layer with transistors that may revolutionise the manufacture of smart contact lenses.
Computer simulation will accelerate development of 'smart robots'
Experts working at the intersection of robotics, machine learning, and physics-based simulation share how computer simulation could accelerate the development of "smart robots" which "might interact with humans"
Quadriplegic controls two prosthetics with thoughts
Researchers have enabled a quadriplegic man to control a pair of prosthetic arms with his mind.
Brain-controlled computers are becoming a reality, but major hurdles remain
More researchers and companies are moving into the brain-computer interfaces, yet major challenges remain, from user training to the reality of invasive brain implant procedures.
Neural network learns when it should not be trusted
Researchers have developed a way for deep learning neural networks to rapidly estimate confidence levels in their output.
'Skin' sensor gives robots human sensation
Researchers at Cornell University have developed stretchable sensors that gives robots and VirtualReality a human touch.
A portable arm rehabilitation robot
A new portable arm rehabilitation robot will help patients to carry out robot-aided therapy at home, allowing them to perform intensive exercises without visiting hospitals or clinics.
Using robotic assistance to make colonoscopy easier
Scientists have made a breakthrough in their work to develop semi-autonomous colonoscopy, using a robot to guide a medical device into the body.
Augmented intelligence advances robotic surgery
TransEnterix, Inc. announced that a hospital in New Jersey successfully completed its first surgical procedures using the Intelligent Surgical UnitTM.
Brains linked to computers using 3D printed implants
Linking the human brain to a computer is usually only seen in science fiction, but now scientists have harnessed the power of 3D printing to bring the technology one step closer to reality.
Bionics open eyes to a frontier in vision restoration
Researchers have developed a revolutionary cortical vision device that could one day help restore vision to the blind.
AI-controlled sensors could save lives in 'smart' hospitals
Researchers explain how computer scientists and clinicians are trying to reduce fatal medical errors by building “ambient intelligence” into the spaces where patients reside.
Augmented Reality in the OR: matching man and machine
One of the crucial future technologies in surgery is Augmented Reality. Most experts agree that AR will increase safety and efficiency, improve surgical training and decrease costs.
Surgical data science: data-driven assistance in the OR
In the next-generation operating room interconnected sensors will collect data, analyse it in real-time and make it available to digital assistance functions.
AI system for recognition of hand gestures
Scientists have developed an AI system that recognises hand gestures by combining skin-like electronics with computer vision.
3D hand-sensing wristband
Researchers have designed a wrist-mounted device and developed software that allows continuous tracking of the entire human hand in 3D.
Neural networks helps grow artificial organs
Researchers have developed a neural network capable of recognizing retinal tissues during the process of their differentiation in a dish.
First cochlear implants with lighting array
Researchers combine for the first time gene therapy in the cochlea with optical cochlear implants to optogenetically activate the auditory pathway in gerbils.
Microrobot rolls deep inside the body
Scientists invented a tiny microrobot that resembles a white blood cell travelling through the circulatory system.
The role of surgical 3D printing in hospitals
More and more hospitals are entering the world of 3D printing in surgery as decision-makers and surgeons are realising the immense benefits for surgeons and patients alike.
Smart algorithm analyses whole brain vasculature
Scientists have developed a technique for visualising the structures of all the brain's blood vessels including any pathological changes.
Robot-powered outfit is being fashioned to help seniors walk
A new line of wearable robotics - a lightweight version of the armor that comic hero Iron Man wears - could keep seniors on their feet longer.
Robots with tiny lasers could soon erase regrettable tattoos
Researchers are using laser scalpels and precision robotics to make tattoo removal faster, more accurate and less painful.
Ensembling improves machine learning model performance
Ensembles created using models submitted to the RSNA Pediatric Bone Age Machine Learning Challenge convincingly outperformed single-model prediction of bone age.
AI identified decision-relevant patterns in EEG of coma patients
A research team has succeeded in identifying specific patterns in Electro-Encephalogram (EEG) analyses that the deep learning network uses for making prognosis decisions.
Digital phenotyping helps to treat mental illness
Research shows that digital phenotyping can provide valuable information to mental health professionals about mental illness symptom severity and relapse.
An AI companion for lonely seniors
Scientists are creating chatbots thet can express and respond to emotion during a conversation—including AI companions that could help relieve loneliness for seniors.
From one brain scan, more information for the AI
Researchers have developed a system thar helps machine learning models glean training information for diagnosing and treating brain conditions.
Low cost retinal scanner could help prevent blindness
Biomedical engineers have developed a portable optical coherence tomography scanner that promises to bring the vision-saving technology to underserved regions.
AI used to screen for FASD
Scientists have developed a new tool that can screen children for fetal alcohol spectrum disorder (FASD) quickly and affordably.
Wearable robot enables disabled person to grasp objects
Scientists have developed a soft wearable hand robot that can aid the hand-disabled by using machine learning algorithm and sensory hardware.
Machine learning model predicts cancer patients’ symptoms
Doctors could get a head start treating cancer thanks to new AI developed at the University of Surrey that is able to predict symptoms and their severity throughout the course of a patient’s treatment.
Role of artificial intelligence in diagnostics increases
The advent of electronic medical records with large image databases, along with advances in AI with deep learning, is offering medical professionals new opportunities to improve image analysis and disease diagnostics.
“Get to the cloud. Run to the cloud!”
Eric Schmidt has strong opinions about the healthcare system, its providers and professionals. He critized that the healthcare ecosystem was still being stuck in the “stone age" and challenges it to "focus on innovation".