Imaging Analytics

AI Pain Recognition Tool Detects Pain Before, During and After Surgery

October 18, 2023 - Researchers presenting at the ANESTHESIOLOGY 2023 annual meeting demonstrated that an automated pain recognition system leveraging artificial intelligence (AI) may be capable of detecting pain in patients before, during, and after surgery. Current methods to assess pain are often subjective. The Critical-Care Pain Observation Tool (CPOT) requires...

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Breast Cancer Detection AI Performs On Par with Human Mammogram Readers

by Shania Kennedy

The diagnostic performance of a commercially available artificial intelligence (AI) algorithm was comparable with that of human readers of mammograms, according to a study published recently in...

Artificial Intelligence Flags Knee Osteoarthritis Using Medical Images

by Shania Kennedy

Researchers from the University of Texas at Austin’s (UT Austin) College of Natural Sciences and Dell Medical School have developed an artificial intelligence (AI) model capable of identifying knee...

Microsoft Collab to Build World’s Largest Pathology, Oncology Imaging AI

by Shania Kennedy

Microsoft and healthcare technology company Paige have launched a partnership to create the world’s largest image-based artificial intelligence (AI) models for digital pathology and...

Pathology Foundation Model Leverages Medical Twitter Images, Comments

by Shania Kennedy

Researchers from Stanford have leveraged pathology images and comments from Twitter, now known as X, to develop a large public dataset and artificial intelligence (AI) model for pathology image...

Deep Learning Method Helps Correct Motion-Corrupted Brain MRIs

by Shania Kennedy

Researchers from the Massachusetts Institute of Technology (MIT) have developed a deep learning (DL) model that can correct magnetic resonance imaging (MRI) scans corrupted by motion artifacts,...

Deep Learning-Based Electrocardiogram Screening Detects Heart Defects

by Shania Kennedy

Researchers from Brigham and Women’s Hospital and Keio University in Japan have developed a deep learning (DL) model capable of screening electrocardiograms (ECGs) for signs of atrial septal...

Deep Learning Model Detects Diabetes Using Routine Chest Radiographs

by Shania Kennedy

Researchers at Emory University have validated a deep learning (DL) model capable of detecting early warning signs of diabetes using routinely collected chest radiographs and electronic health record...

Deep Learning Model Accurately Detects Cardiac Function, Disease

by Shania Kennedy

A deep learning (DL) model has been developed and validated to estimate cardiac function and valvular disease using chest radiographs, according to a study published this month in The Lancet Digital...

Deep Learning Algorithm Predicts Need for Crohn’s Disease Therapy

by Shania Kennedy

A study published last month in Therapeutic Advances in Gastroenterology demonstrated that a deep learning (DL) model can predict the need for biological therapy using capsule endoscopy (CE) videos of...

Personalized Computational Approach Identifies Four Alzheimer’s Subtypes

by Shania Kennedy

Researchers presenting at this year’s Society of Nuclear Medicine and Molecular Imaging (SNMMI) Annual Meeting demonstrated that a computational model can accurately identify four subtypes of...

AI-Driven Cardiovascular Imaging Research Showcased at ASE 2023

by Shania Kennedy

During the American Society of Echocardiography’s (ASE) 34th Annual Scientific Sessions, researchers highlighted how artificial intelligence (AI) may enhance cardiovascular imaging by helping...

USC Researchers to Leverage Ophthalmology AI for Improved Patient Care

by Shania Kennedy

Researchers at the University of Southern California (USC) Roski Eye Institute are exploring how the use of artificial intelligence (AI) in ophthalmology may help automate clinical tasks, allocate...

AI May Help Define Tumor Margins in Prostate Cancer Treatment

by Shania Kennedy

Researchers evaluating an artificial intelligence (AI) model’s ability to estimate prostate cancer extent and define focal treatment margins for tumors demonstrated that the model outperformed...

AI-Based “Denoising” in Medical Imaging May Require Further Evaluation

by Shania Kennedy

Researchers at Washington University in St. Louis are investigating how deep learning (DL) tools to “denoise,” or clean up, medical images impact the clinical utility of those...

Automation Bias May Impair Radiologist Performance on Mammograms

by Shania Kennedy

Incorrect advice from artificial intelligence (AI)-based decision support systems may negatively impact the performance and accuracy of radiologists at all levels of expertise when reading mammograms,...

AI-Assisted Ultrasound May Improve Breast Mass Triage in Low-Resource Settings

by Shania Kennedy

Researchers demonstrated that artificial intelligence (AI) can assist with the triage of patients with palpable breast masses and accurately identify cancer using images from low-cost, portable...

AI In Medical Imaging May Amplify Biases, Inequities

by Shania Kennedy

Researchers from the University of Maryland School of Medicine (UMSOM) found that most crowd-sourced datasets used in medical imaging data science competitions to develop artificial intelligence (AI)...

AI ‘Brain Decoder’ System Translates Human Brain Activity

by Shania Kennedy

Researchers from The University of Texas at Austin (UT Austin) have developed an artificial intelligence (AI) system that is capable of translating a person’s brain activity into a continuous...

Mayo Clinic: Deep Learning May Improve Head, Neck Radiotherapy

by Shania Kennedy

Researchers from Mayo Clinic demonstrated that an automated deep learning (DL) tool could help improve radiation therapy planning for patients with head and neck cancer, according to a validation study...

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