Diagnostic Tools

AI Achieves High Diagnostic Accuracy in Virtual Primary Care Setting

September 26, 2023 - Diagnostic agreement between providers and an artificial intelligence (AI)-based tool was high within the context of virtual primary care, according to a study published recently in Mayo Clinic Proceedings: Digital Health. The research evaluated the diagnostic accuracy of an AI tool provided by K Health, a technology company operating a virtual...

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University of Houston Awarded $3M to Develop Lupus Diagnostic AI

by Shania Kennedy

Researchers from the University of Houston have been awarded a $3 million grant from the National Institute of Diabetes and Digestive and Kidney Diseases to develop an artificial intelligence (AI) to...

Pancreatic Cancer Prediction Model May Reduce Unnecessary Biopsies

by Shania Kennedy

Researchers have developed and externally validated a prediction model to detect early-stage pancreatic cancer using routinely collected blood biomarkers, according to a recent study published in JAMA...

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 Model Automates Severe Heart Valve Disease Detection

by Shania Kennedy

Researchers at Yale School of Medicine have developed a deep learning (DL) approach that can accurately detect aortic stenosis by analyzing heart ultrasound scans, according to a study published last...

Mount Sinai Establishes Center for Ophthalmic AI and Human Health

by Shania Kennedy

The Icahn School of Medicine at Mount Sinai has established the Center for Ophthalmic Artificial Intelligence and Human Health, which aims to advance artificial intelligence (AI) in ophthalmology,...

ML Model Outperforms Standard Methods for Detecting Heart Attacks

by Shania Kennedy

Researchers at the University of Pittsburgh Medical Center (UPMC) have developed a machine learning (ML) tool capable of using electrocardiogram (ECG) readings to detect and classify heart attacks more...

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...

ChatGPT, Generative AI Show Promise as Complex Diagnostic Tools

by Shania Kennedy

Researchers from Beth Israel Deaconess Medical Center (BIDMC) demonstrated that generative artificial intelligence (AI) technologies, such as ChatGPT, may serve as promising assistive tools for...

DL Approach Enables Interpretations of Electrocardiograms as Language

by Shania Kennedy

Researchers from Mount Sinai have developed deep learning (DL)-based model for electrocardiogram (ECG) analysis that enables the interpretation of ECGs as language and may improve ECG-related...

Patient Trust in AI Impacted by Demographics, Clinician Involvement

by Shania Kennedy

Researchers from the University of Arizona (UArizona) Health Sciences found that patients are almost evenly split about whether they would prefer a human clinician or an artificial intelligence...

Kaiser Permanente Launches Grant Program for AI, ML in Healthcare

by Shania Kennedy

The Permanente Medical Group launched the Kaiser Permanente Northern California Division of Research (KP-DOR) Augmented Intelligence in Medicine and Healthcare Initiative (AIM-HI) Coordinating Center,...

Machine Learning-Aided Biomarker Analysis Predicts Parkinson’s Onset

by Shania Kennedy

Researchers from Boston University and Australia-based University of New South Wales (UNSW Sydney) developed a machine learning (ML) tool that predict Parkinson’s disease onset years before...

Cedars-Sinai AI Tool Accurately Assesses, Diagnoses Cardiac Function

by Shania Kennedy

Researchers from Cedars-Sinai have shown that an artificial intelligence (AI) tool’s performance was superior to that of sonographers when assessing and diagnosing cardiac function, according to...

Artificial Intelligence Shows Potential for Diagnosing Pancreatic Cancer

by Mark Melchionna

Published in JMIR, new research found that the use of artificial intelligence (AI) to diagnose, predict risks of, differentiate, and segment pancreatic cancer led to high levels of accuracy,...

Mount Sinai Opens Center for Engineering and Precision Medicine

by Shania Kennedy

The Icahn School of Medicine at Mount Sinai and Rensselaer Polytechnic Institute (RPI) Center for Engineering and Precision Medicine (CEPM) hosted its grand opening last week, solidifying a partnership...

NC Health System Deploys AI to Predict, Diagnose Lung Cancer

by Shania Kennedy

North Carolina-based Atrium Health Wake Forest Baptist has implemented artificial intelligence (AI) and robotics tools to help clinicians predict and diagnose lung cancer to improve early...

AI System Detects Genetic Mutations in Cancerous Brain Tumors

by Mark Melchionna

New research published in Nature Medicine showed that an artificial intelligence (AI)-based diagnostic screening system known as DeepGlioma can use rapid imaging to detect genetic mutations in...

UPMC Explores Machine Learning’s Potential to Personalize HIV Testing

by Shania Kennedy

In a recent article published by the American Association for Clinical Chemistry (AACC), Sarah Wheeler, PhD, an associate professor of pathology at the University of Pittsburgh School of Medicine,...

AI for Psychiatric Diagnosis Presents Bias, Clinical Applicability Issues

by Shania Kennedy

A systematic review published last week in JAMA Network Open evaluating potential risks of translating neuroimaging-based artificial intelligence (AI) models into direct clinical applications, such as...

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