Real-World Data Collaboration to Advance Chronic, Acute Disease Research
Washington University School of Medicine in St. Louis (WashU Medicine) and BJC HealthCare have announced a collaboration with real-world health data company CuriMeta to advance research aimed at...New Mayo Clinic Artificial Intelligence Model Provides Labor Risk Predictions
To meet the varied healthcare needs of pregnant women, Mayo Clinic researchers created an artificial intelligence (AI)-based risk prediction model that uses labor characteristics to indicate potential...MA Researchers Create AI Algorithm to Enhance Lung Cancer Radiation Therapy
Researchers from the Artificial Intelligence (AI) in Medicine Program of Brigham and Women’s Hospital created a deep-learning algorithm to improve lung cancer radiation therapy treatment and...Framework to Mitigate Bias in Radiology Machine-Learning Models
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
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...PA Health Systems Launch Big Data-Driven Kidney Disease Collaboration
Children’s Hospital of Philadelphia (CHOP) and the University of Pennsylvania School of Medicine (Penn Medicine) have launched the Penn-CHOP Kidney Innovation Center, which will support research...FL Health System Adopts Cloud to Enhance Population Health Analytics
Baptist Health South Florida is set to implement Innovaccer’s Health Cloud platform to enhance population health analytics, provider engagement, and care management across its health...AI Model Improves Colorectal Cancer Recurrence Prediction
According to a Mayo Clinic-led study published in Gastroenterology earlier this month, an artificial intelligence (AI) model that incorporates a deep-learning framework may improve predictions of...Machine-Learning Tools Predict Post-Op Complications, Surgery Duration
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...Biomedical Informatics, Data Science Program Wins $4M NIH Grant
Rice University’s National Library of Medicine Training Program (NLMTP) in Biomedical Informatics and Data Science has been awarded a $4.16 million grant to extend its program, which focuses on...Florida Researchers to Use AI to Track Coronavirus Variants
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...Illinois Health System Implements AI-Based Sepsis Surveillance Tool
Illinois-based Blessing Health System has integrated an artificial intelligence (AI)-based sepsis surveillance tool into its clinical workflows, enabling the health system to identify patients with...Deep-Learning Model Predicts Physician Burnout Using EHR Logs
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
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...Most Drug Overdose Patients Not Tested for Fentanyl, Synthetic Opioids
A new study by Epic Research and the University of Maryland’s Center for Substance Abuse Research (CESAR) shows that only 5 percent of drug overdose patients admitted to the emergency department...Social Determinants of Health Impact Pediatric EMS Transport
Researchers have found a significant association among social determinants of health (SDOH), prehospital pediatric encounters, and EMS transport decisions. Screening children for SDOH has become more...Data-Driven Initiative to Support Genomics-Based Cancer Diagnostics
The Medical Device Innovation Consortium (MDIC) has launched its Somatic Reference Samples (SRS) Initiative, which aims to develop and validate clinically relevant samples and public genomic datasets...AI Precision Medicine Approaches Disorganized, Slowed by Gaps
Researchers at Rutgers have concluded that artificial intelligence (AI)-based approaches to precision medicine are limited or slowed by various structural issues, such as disorganization, data...Sponsored by Emids
