Nature

Machine learning empowered coherent Raman imaging and analysis for biomedical applications

Biomolecules are the fundamental unit of molecular machinery, of which the distribution, concentration, dynamics, and interaction determine physiological processes. Tracking biomolecules in situ with ...
Nature

Shifting to machine supervision: annotation-efficient semi and self-supervised learning for automatic medical image segmentation and classification

Medical imaging analysis plays a pivotal role in clinical decision-making, aiding in diagnosis, treatment planning, and monitoring. The advent of deep learning has significantly enhanced the ...
Medical Device and Diagnostic Industry (MD+DI)

The AI Era: How Deep Learning is Overcoming Data Scarcity in Medical Imaging

AI medical imaging market is projected to exceed $20B by 2035. Generative models address class imbalances in medical imaging ...
News Medical

Early lung cancer detection with a machine learning model based on imaging, clinical, and DNA methylation biomarkers

In a recent study published in The Lancet Digital Health, researchers discuss the development and validation of a combined model comprising imaging, clinical, and cell-free deoxyribonucleic acid (DNA) ...
Medical Xpress

Machine learning and cell imaging combine to predict effectiveness of multiple sclerosis medication

Brazilian researchers, in partnership with French institutions, have developed a tool that can predict how patients will respond to natalizumab, one of the most commonly used drugs for treating ...
Phys.org

Single-cell imaging and machine learning reveal hidden coordination in algae's response to light stress

Researchers from several Parisian institutions have worked together to develop a non-destructive approach to study how unicellular organisms respond to stress, focusing on cell-to-cell differences.
EurekAlert!

In bone imaging, machine learning accelerates research progress and uncovers hidden patterns

In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, could help orthopedic physicians predict when a patient might encounter a bone ...
News Medical

Using Deep Learning for Brain Imaging Data Analysis

Deep learning (DL) is a type of artificial intelligence (AI) that utilizes artificial neural networks (ANNs) to process data through two or more layers, each of which can recognize complex features of ...
Forbes

Artificial Intelligence Is Rapidly Changing The World Of Medical Imaging

Among the most powerful tools that enable modern day healthcare delivery are advanced imaging techniques. Often, these tools are used to validate physical exams, visualize internal anatomy, or ...

Artificial Intelligence in Healthcare Market worth $194.79 billion by 2031 | MarketsandMarkets™

According to MarketsandMarkets™, the Artificial Intelligence in Healthcare Market is projected to grow from about USD 36.67 ...
Medical Xpress

Brain imaging technique allows researchers to achieve more with less data

Magnetic resonance imaging (MRI) uses magnetic fields to create images of the body that allow doctors to diagnose injury or illness more accurately. Susceptibility tensor imaging (STI), a specialized ...
Phys.org

Harnessing hyperspectral imaging and machine learning for rubber tree nutrient management

Rubber trees are essential for natural rubber, and require precise nutrient management. Traditional methods for assessing nutrient levels are expensive and destructive, but near-infrared (NIR) ...