With the help of artificial intelligence, computers are to simulate human thought processes. Machine learning is intended to support almost all medical specialties. But what is going on inside an AI algorithm, what are its decisions based on? Can you even entrust a medical diagnosis to a machine? Clarifying these questions remains a central aspect of AI research and development.
A new AI platform can analyze genomic data extremely quickly, picking out key patterns to classify different types of colorectal tumors and improve the drug discovery process.
Colonoscopies performed with AI support may yield an increase in the overall rate of detection of adenoma, or cancerous and precancerous polyps, by 27% in average-risk patients, according to new data.
Clear ethical standards and guidance are needed for AI in health settings to protect the relationship of trust between doctors and patients and to safeguard human rights, according to a new report.
Researchers from Boston University School of Medicine have developed a novel artificial intelligence algorithm to assess digital pathology data.
A combination of digital pathology and quantitative biomarker analysis in the emerging concept of ‘smart’ cytology has a potential role in the detection and diagnosis of cancer.
Artificial intelligence (AI) could help guide the post-treatment surveillance of non-small cell lung cancer (NSCLC) patients and improve outcomes as a result, according to a new study.
An algorithm built to assess scar patterns in patient heart tissue can predict potentially life-threatening arrhythmias more accurately than doctors can.
Big data is transforming diagnosis and medical care, but the critical challenge remains over how to equally apply the benefits it delivers across real-world clinical settings, according to industry expert Prof Benoît Macq.
A major new study shows that artificial intelligence (AI) is a promising tool for breast cancer detection in screening mammography programs.
Scientists have utilized the integration of lightweight material engineering and artificial intelligence to create an exoskeleton robot that can aid those with mobility impairments.
The AI-Guided Ultrasound Intervention Device is a lifesaving technology that helps a range of users deliver complex medical interventions at the point of injury.
A software based on deep learning with convolutional neural networks can accurately and consistently classify breast density on mammograms according to BI-RADS criteria.
A new type of AI companion is being designed to aid memory recollection, boost confidence and combat depression in people living with Alzheimer’s disease and other types of dementia.
Chromatograms from mass spectrometry feature characteristic peaks to signify the response of a target molecule. Artificial intelligence can help in the challenging task of identifying these peaks.
By employing artificial intelligence (AI) and robotics to formulate therapeutic proteins, researchers promoted tissue regeneration.
Combining questions about a person's health with data from smartwatch sensors, a new app can predict within minutes whether someone is infected with COVID-19.
Groundbreaking technologies have improved our ability to accurately diagnose breast cancer and reduce callbacks, focusing on compassionate care for patients as they move along their breast health journey.
Close liaison between pathologists and data scientists is pivotal in the successful introduction of digital pathology and artificial intelligence (AI) into clinical workflows, according to one of France’s leading pioneers in the field.
The future of pathology is digital – for many departments, transformation requires major modifications but promises significant advantages. Professor Catarina Eloy outlines the vital elements.
