Deep Learning

Deep learning tool may advance precision medicine approaches

April 19, 2024 - Researchers from Clemson University have developed a deep learning tool to better understand how gene-regulatory network (GRN) interactions impact individual drug response, according to a study published recently in Nature Biotechnology. GRNs “map the complex interactions between genes, regulatory elements and proteins, holding the key to...

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Deep learning tool may reduce false-positives in screening mammography

by Shania Kennedy

Researchers have developed a deep learning tool capable of reducing false positives without missing true cases of breast cancer identified by screening mammography, according to a study published this...

Artificial intelligence in healthcare: defining the most common terms

by Editorial Staff

As healthcare organizations collect more and more digital health data, transforming that information to generate actionable insights has become crucial. Artificial intelligence (AI) has the potential to significantly bolster these...

Deep learning model detects COVID-19 infection using lung imaging

by Shania Kennedy

Johns Hopkins researchers have developed a deep learning-based model to detect COVID-19 infection using lung ultrasound images, according to a study published recently in Communications Medicine. The...

Deep learning tool predicts brain metastasis in lung cancer patients

by Shania Kennedy

A research team from Washington University School of Medicine in St. Louis has developed a deep learning (DL)-based approach to help predict which patients with non-small cell lung cancer (NSCLC) are...

Deep learning tool targets ‘black box’ AI problem in medical imaging

by Shania Kennedy

A research team from the University of Illinois Urbana-Champaign’s Beckman Institute for Advanced Science and Technology has developed a deep learning-based medical imaging approach designed to...

AMA Report Outlines Considerations for AI Integration in Healthcare

by Shania Kennedy

A report published this week by the American Medical Association (AMA) and Manatt Health outlines the transformational potential and associated risks of augmented intelligence, also known as artificial...

Deep Learning Model Accurately Detects, Predicts Alzheimer’s Disease

by Shania Kennedy

A research team from West Virginia University (WVU) has developed a deep learning model capable of detecting and predicting Alzheimer's disease using metabolic biomarkers. The researchers sought...

Auditing Framework Provides Insights into ‘Black Box’ Medical AI

by Shania Kennedy

Researchers from Stanford University and the University of Washington have developed an auditing framework designed to shed light on the ‘black box’ decision-making processes of healthcare...

UC San Diego Risk Stratification AI Predicts Sepsis, Reduces Mortality

by Shania Kennedy

Researchers from the University of California (UC) San Diego School of Medicine have found that an artificial intelligence (AI) model deployed in emergency departments to forecast patients’...

Deep Learning Tool May Help Detect Pediatric Rheumatic Heart Disease

by Shania Kennedy

Researchers from Children’s National Hospital have developed a deep learning (DL) to detect latent rheumatic heart disease (RHD) in children, which may improve case identification and treatment...

University of Massachusetts DL Model to Predict Alzheimer’s Onset

by Shania Kennedy

Researchers from the University of Massachusetts (UMass) Amherst have received a two-year, $278,118 grant from the National Institutes of Health (NIH) to build deep learning models for the early...

Arguing the Pros and Cons of Artificial Intelligence in Healthcare

by Editorial Staff

In what seems like the blink of an eye, mentions of artificial intelligence (AI) have become ubiquitous in the healthcare industry.  From deep learning algorithms that can read computed...

Deep Learning Model Predicts Mortality Following Medical Procedures

by Shania Kennedy

Researchers from the Smidt Heart Institute at Cedars-Sinai, Stanford University, and Columbia University have developed and validated a deep learning (DL) model capable of predicting postoperative...

Deep Learning Accurately Predicts Antihypertensive Treatment Success

by Shania Kennedy

Researchers have developed a deep neural network-based model to predict the most successful antihypertensive treatment for an individual, according to a study published recently in Mayo Clinic...

Deep Learning Model Flags Non-Smokers at Increased Risk for Lung Cancer

by Shania Kennedy

A deep learning model can accurately identify non-smokers at high risk for lung cancer using only routine chest X-rays, according to research presented at this year’s meeting of the Radiological...

$31M Awards to Support Medical AI Innovation at UTHealth Houston

by Shania Kennedy

Researchers from the McWilliams School of Biomedical Informatics at UTHealth Houston were awarded over $31 million for 16 projects aimed at driving innovations in healthcare artificial intelligence...

AI Tools May Detect Heart Valve Disease, Predict Cardiovascular Risk

by Shania Kennedy

Artificial intelligence (AI) and deep learning tools may be capable of accurately detecting heart valve disease and predicting the risk of cardiovascular disease events, according to two preliminary...

Cedars-Sinai Deep Learning Tool Accurately Predicts Atrial Fibrillation

by Shania Kennedy

Researchers from the Smidt Heart Institute at Cedars-Sinai demonstrated that a deep learning (DL) algorithm can accurately detect signs of atrial fibrillation in patients without symptoms, according to...

Mayo Clinic Platform_Accelerate Announces Fourth Health Tech Cohort

by Shania Kennedy

Mayo Clinic Platform_Accelerate has announced its fourth cohort of health tech startups to participate in the program, which is designed to support the validation and clinical readiness of each...

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