Industry News.

A curated collection of the most timely and relevant news, updates and information from the world of AI and machine learning.

AI Framework Beats Emergency Call Handlers in Recognizing Stroke for Both Sexes

May 25, 2023
Healthcare

Researchers from Denmark have developed an AI framework that surpasses human emergency call handlers in recognizing strokes. The framework shows promise as a supplementary tool for early and accurate stroke identification. 

Researchers Develop AI Tool to Improve Accessibility to Technology for People Who Rely on Sign Language

May 24, 2023
Technology

Researchers at the Barcelona Supercomputing Center—Centro Nacional de Supercomputación (BSC-CNS) and the Universitat Politècnica de Catalunya (UPC) have created an AI-based tool to facilitate automatic sign language translation, addressing communication barriers for deaf and hard of hearing individuals.

AI Can Help Triage Patients With Respiratory Symptoms Before Primary Care Clinic Visit

May 23, 2023
Healthcare

Researchers trained an AI model to triage patients with respiratory symptoms using a machine-learning approach. The model was trained on 1,500 clinical text notes, extracting information on symptoms, signs, and clinical decisions. 

Solving the Chronic Pain Puzzle: Brain Signatures Revealed Through Machine Learning

May 22, 2023
Healthcare

Researchers employ machine learning to analyze brain data, identifying chronic pain biomarkers and a specific brain region. Funded by NIH BRAIN and NIH HEAL Initiatives, the study offers promise for advancing the monitoring and treatment of chronic pain.

AI Powers Second-skin-like Wearable Tech

May 19, 2023
Research

Researchers at Monash University have developed an ultra-thin skin patch using nanotechnology that can monitor 11 human health signals. The patch combines AI and nanotech to advance machine-human communication, allowing AI to analyze and interpret multiple body signals for decision-making.

Machine Learning Model Improves MI Diagnosis

May 22, 2023
Healthcare

New study shows machine learning model improves myocardial infarction (MI) diagnosis in the emergency department using troponin and clinical data.

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