Smart contact lenses diagnose and treat diabetes
Researchers developed wirelessly driven ‘smart contact lens’ technology that can detect diabetes and further treat diabetic retinopathy just by wearing them.
diagnostics
AI could serve as backup to radiologists' eyes
A study showed that an AI algorithm provides results comparable with lung function tests, which measure how forcefully a person can exhale.
AI accelerates blood flow MRI
Researchers have presented a method that could greatly accelerate dynamic magnetic resonance imaging of blood flow.
3D printed swabs fill gap in COVID-19 test kits
In response to a request from the Commonwealth of Kentucky, faculty of University of Louisville have created a 3D printed swab made of a pliable resin material.
AI-based chest X-ray diagnosis tech approved
behold.ai has been issued with a CE Mark Class lla certification in the UK and EU for its AI-based technology that can diagnose chest X-rays as ‘normal’.
Sensors could offer early detection of lung tumors
Researchers have developed a new approach to early diagnosis of lung cancer: a urine test that can detect the presence of proteins linked to the disease.
Deep learning system used for diagnosing skin diseases
An AI algorithm is capable of diagnosing 134 skin disorders and supporting specialists by augmenting the accuracy of diagnoses and predicting treatment options.
AI outperform doctors: Experts express concerns
Many studies claiming that AI is as good as (or better than) human experts at interpreting medical images are of poor quality and are arguably exaggerated, warn researchers in The BMJ.
Diabetes: 3D printed sensors for breath tests
Researchers have developed a procedure to produce extremely sensitive and energy-efficient sensors using 3D printing.
Wearable strain sensor uses light for monitoring
Researchers have developed a novel wearable strain sensor based on the modulation of optical transmittance of a carbon nanotube (CNT)-embedded elastomer.
AI in healthcare – hype, hope and reality
Currently, we are too focused on the topic of AI. In order, however, to leverage AI technology several challenges have to be mastered and a proper framework has to be established.
Portable AI device predicts outbreaks based on coughing
A portable surveillance device powered by machine learning can detect coughing and crowd size in real time, then analyze the data to directly monitor flu-like illnesses trends.
AI taps human wisdom for better cancer diagnosis
A new system combining artificial intelligence with human knowledge promises faster and more accurate cancer diagnosis.
Using AI to assess ulcerative colitis
Researchers develop an AI system that effectively evaluates endoscopic mucosal findings from patients with ulcerative colitis without the need for biopsy collection.
VR for early detection of MS balance problems
The UNC School of Medicine lab of Jason Franz, PhD, created virtual reality experiments to show how a potentially portable and inexpensive test could reduce falls and related injuries in people with multiple sclerosis.
AI may spot newborns at risk of blinding disease
An AI device may help identify newborns at risk for aggressive posterior retinopathy of prematurity (AP-ROP).
Robot uses AI and imaging to draw blood
Engineers have created a tabletop device that combines a robot, AI and near-infrared and ultrasound imaging to draw blood or insert catheters to deliver fluids and drugs.
AI, App provide at-home assessment of coronavirus risk
A coronavirus app coupled with machine intelligence will soon enable an individual to get an at-home risk assessment based on how they feel and where they've been in about a minute.
Sensor predicts worsening heart failure before hospitalization
A wearable sensor could help doctors remotely detect critical changes in heart failure patients days before a health crisis occurs and could prevent hospitalization.
A pill-sized heating device for diagnostic testing
Researchers have developed a ‘heater’ — about the size of a pill tablet — that regulates the temperature of biological samples through the different stages of diagnostic testing.
Wearable biosensors will get major sensitivity boost
Researchers describe a way to increase the sensitivity of biological detectors to the point where they can be used in mobile and wearable devices.
Lensless microscopy chip for diagnostic applications
Researchers at the University of Connecticut have developed a lensless microscope that allows an observer to enjoy an enormous field of view.
AI analyzes myoclonus severity from video footage
Thanks to a deep convolutional neural network architecture, fast, reliable and automatic assessment of the severity of myoclonic jerks from video footage is now possible.
Robot does superior job sampling blood
In the future, robots could take blood samples, benefiting patients and healthcare workers alike.
Deep learning model accurately identifies sleep stages
A deep learning model can identify sleep stages as accurately as an experienced physician.
Biosensors detect for tumors and dengue fever
Researchers have developed a tumor biosensing chip that can help determine the optimum dosage of chemotherapy required for a cancer patient.
Using AI to detect and grade prostate cancer
Researchers have developed a method based on artificial intelligence for histopathological diagnosis and grading of prostate cancer.
AI tracks down acute myeloid leukemia
Artificial intelligence can detect one of the most common forms of blood cancer—acute myeloid leukemia (AML)—with high reliability.
3D printing helps form wearable sensor
Researchers have developed a highly sensitive wearable pressure sensor for health monitoring applications and early diagnosis of diseases.