A team of researchers at Washington University School of Medicine have developed a deep learning model that is capable of classifying a brain tumor as one of six common types using a single 3D MRI scan.
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.
Researchers developed a wearable X-ray detector prepared from nontoxic metal-organic frameworks layered between flexible plastic and gold electrodes for high-sensitivity sensing and imaging.
Researchers have developed a rapid and cost-effective particle agglutination based sensor that is powered by holographic imaging and deep learning
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.
Scientists have designed a portable 3D imaging device which will improve the treatment and diagnosis of cancer.
Researchers have found that out of the more than 300 COVID-19 machine learning models are not suitable for detecting or diagnosing COVID-19 from standard medical imaging.
Researchers at the Indian Institute of Science and SigTuple Technologies have developed a method to measure hemoglobin levels in small-volume blood samples.
By using 3D aerosol jet-printing to put perovskites on graphene, scientists have made X-ray detectors with record sensitivity that can greatly improve the efficiency and reduce the cost.