Tools & Strategies News

Framework to Mitigate Bias in Radiology Machine-Learning Models

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A special report published in Radiology: Artificial Intelligence last week highlighted the practices that can lead to bias in artificial intelligence (AI) and machine-learning (ML) models increasingly...

Experts Call for More Randomized Controlled Trials of Clinical AI

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In a new systematic review published in the Journal of Medical Internet Research, researchers concluded that randomized controlled trials (RCTs) evaluating artificial intelligence (AI)-assisted tools...

Machine-Learning Tools Predict Post-Op Complications, Surgery Duration

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New research shows that machine-learning (ML) tools can use perioperative data to accurately predict post-operative complications and surgery duration. Surgery and its potential complications create...

Florida Researchers to Use AI to Track Coronavirus Variants

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To help address the ongoing pandemic, researchers from the University of Florida (UF) are using funding from the school to remain ahead of coronavirus variants through the creation of an artificial...

Deep-Learning Model Predicts Physician Burnout Using EHR Logs

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Researchers have created a deep-learning prediction model that can identify physician burnout by pulling automatically generated EHR activity logs, which may be more convenient than standard approaches...

Artificial Intelligence Model Detects Parkinson’s From Breathing Patterns

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Researchers have developed an artificial intelligence (AI) model that detects the presence and severity of Parkinson’s disease (PD) using nocturnal breathing patterns, which occur while a patient...

Crisis Management System to Support the 988 Suicide Lifeline

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Healthcare technology solutions company Bamboo Health has developed a behavioral and mental health crisis system designed to support the 988 Suicide and Crisis Lifeline and improve care delivery. The...

Artificial Intelligence Uses Patient Data to Anticipate Cancer Outcomes

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A study from the Mahmood Lab at Brigham and Women’s Hospital revealed how artificial intelligence (AI) uses factors such as patient history and gene pathology to identify and anticipate potential...

Wisconsin Health System Implements AI-Based Automation to Improve Operations

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Wisconsin-based ThedaCare has partnered with artificial intelligence (AI) software company Qventus to implement the company’s care operations automation technology across the health system to...

Automated Care Coordination Tool Improves Timeliness of Liver Cancer Care

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A new study published in PLOS Digital Health shows that an automated care coordination tool can successfully identify and track cases of hepatocellular carcinoma (HCC), a type of liver cancer, which...

Florida Hospital Implements AI Tool to Improve Patient Throughput

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Tampa General Hospital (TGH) announced the implementation of an artificial intelligence (AI) tool designed to enhance the processes of admitting, moving, and discharging patients to improve patient...

Sanford Health, Sharp HealthCare Join Clinical AI Development Collaboration

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Sanford Health and Sharp HealthCare have joined a consortium spearheaded by healthcare artificial intelligence (AI) company Dandelion Health to launch an integrated data platform that allows health...

MD Health System Launches AI-Driven Collab to Tackle Clinician Burnout

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Maryland-based TidalHealth and artificial intelligence (AI) software company Regard have launched a collaboration designed to increase patient diagnosis accuracy, reduce clinician burnout, and enhance...

Mayo Clinic, Lisa Health Leverage AI to Create Personalized Menopause App

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In collaboration with Mayo Clinic, digital health company Lisa Health launched Midday, a personalized solution that uses artificial intelligence (AI) and digital therapeutics to provide menopause...

Ohio Health System to Use Artificial Intelligence to Improve Stroke Care

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Ohio-based Mercy Health – Springfield Regional Medical Center announced a collaboration with San Francisco-based software company Viz.ai to implement artificial intelligence (AI) solutions to...

Mayo Clinic ML Models Can Help Diagnose Hepatitis, Bacterial Infections

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A study published in Mayo Clinic Proceedings shows that machine-learning (ML) models can assist healthcare workers with differentiating between alcohol-associated hepatitis and acute cholangitis using...

Functionality, Sales Experience Drive Providers’ Data Archiving Purchases

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A new report from KLAS Research found that issues around missing data, missed timelines, and capacity for EMR integration were the top reasons why providers replaced their health data archiving...

Researchers Develop Simulated Medical Interviews to Train AI Models

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A study published in Scientific Data earlier this month showcases how researchers developed a dataset of simulated medical conversations focused on respiratory conditions to support the development and...

Drug Diversion Monitoring Solutions Largely Beneficial for Providers

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A new report from KLAS Research found that healthcare organizations reported better transaction pattern identification, drug diversion detection, and overall efficiency when utilizing drug detection...

Researchers Call for ‘Reimbursement Framework’ for Healthcare AI

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A paper published in npj Digital Medicine earlier this month outlines a potential “reimbursement framework” for the adoption of healthcare artificial intelligence (AI), which researchers...