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Revolutionizing COVID-19 ARDS prediction: a deep learning model for critically ill patients

Researchers developed and evaluated a deep learning model for predicting coronavirus disease 2019 (COVID-19) acute respiratory distress syndrome (ARDS).

31 Jul 2023

Study identifies specific genetic variants that affect the skeletal form and ties a major evolutionary facet of human anatomical change to pathogenesis

Researchers evaluate imaging information and characterize skeletal proportions to assess the genetic root of these traits and their connections to each other.

26 Jul 2023

AI-powered study pinpoints genes that shape bones

Using artificial intelligence to analyze tens of thousands of X-ray images and genetic sequences, researchers from The University of Texas at Austin and New York Genome Center have been able to pinpoint the genes that shape our skeletons, from the width of our shoulders to the length of our legs.

20 Jul 2023

Deep learning-based handheld device improves atrial fibrillation detection

Announcing a new article publication for Cardiovascular Innovations and Applications journal. Symptom-driven electrocardiogram (ECG) recording plays a significant role in the detection of post-ablation atrial fibrillation recurrence (AFR).

19 Jul 2023

Novel geometric deep learning model improves stroke lesion segmentation

Ischemic stroke, which occurs when a blood vessel in the brain gets blocked by a clot, is among the leading causes of death worldwide.

18 Jul 2023

AI-based analysis method accelerates study of cell structures

BESSY II's high-brilliance X-rays can be used to produce microscopic images with spatial resolution down to a few tens of nanometers.

18 Jul 2023

Mobile app uses AI to detect eye diseases

Two students on the Master's Degree in Bioinformatics and Biostatistics at the Universitat Oberta de Catalunya (UOC) have developed a mobile app capable of detecting in a matter of seconds whether someone is suffering from glaucoma, diabetic retinopathy or cataracts, three of the world's most common causes of vision loss and blindness.

18 Jul 2023

Immunodiagnosis: Unleashing the potential of personalized immunotherapy

Researchers discuss the concept of immunodiagnosis and explores the potential of artificial intelligence in ID systems for precise tumor immunotherapy.

18 Jul 2023

Predicting kidney abnormalities in utero with deep learning

Researchers examine the potential use of deep learning models to diagnose fetal kidney anomalies.

17 Jul 2023

Empowering healthcare with AI: LungDiag NLP system transforms respiratory disease diagnosis

An artificial intelligence (AI) -based diagnostic system, LungDiag, to diagnose respiratory diseases.

14 Jul 2023

AI tool accurately counts brain lesions on MRI scans within seconds

An artificial intelligence (AI) tool developed at The University of Texas Health Science Center at San Antonio accurately counts brain lesions on MRI scans within seconds.

13 Jul 2023

Emory, Georgia Tech researchers explore how AI can increase access to COVID-19 treatment

To address an emerging issue in health care delivery, researchers from Emory University's School of Medicine and Georgia Institute of Technology are exploring how artificial intelligence (AI) can offer a way to increase efficiency of diagnoses and treatment.

11 Jul 2023

Natural language processing used to extract social determinants of health

Information on the nonmedical factors that influence health outcomes, known as social determinants of health, is often collected at medical appointments.

11 Jul 2023

LIONESS: A new tool for unraveling mysteries of the brain

Brain tissue is one of the most intricate specimens that scientists have arguably ever dealt with. Packed with currently immeasurable amount of information, the human brain is the most sophisticated computational device with its network of around 86 billion neurons.

10 Jul 2023

Mount Sinai launches first-of-its-kind center for ophthalmic AI

The Icahn School of Medicine at Mount Sinai has launched the Center for Ophthalmic Artificial Intelligence and Human Health, the first of its kind in New York and one of the first in the United States.

5 Jul 2023

Harnessing the power of AI: deep-learning model forecasts 30-day mortality in pneumonia cases

Researchers developed a deep learning (DL) model to estimate 30.0-day mortality risk for pneumonia.

5 Jul 2023

New approach could improve accuracy of liquid biopsy tests

A research team led by Xianghong Jasmine Zhou, PhD, professor of Pathology and Laboratory Medicine at the David Geffen School of Medicine at UCLA, has made an important advancement to address one of the major challenges in cell-free DNA (cfDNA) testing, also known as liquid biopsy.

3 Jul 2023

AI predicts on- and off-target activity of RNA-targeting CRISPRs

Artificial intelligence can predict on- and off-target activity of CRISPR tools that target RNA instead of DNA, according to new research published in Nature Biotechnology.

3 Jul 2023

Using AI might afford large-scale evaluation for splenomegaly on CT examinations

According to an accepted manuscript published in ARRS' own American Journal of Roentgenology (AJR), using an automated deep-learning AI tool, as well as weight-based volumetric thresholds, might afford large-scale evaluation for splenomegaly on CT examinations performed for any indication.

3 Jul 2023