Research has found that machine-learning (ML) models can use standard clinical data to predict renal function decline (RFD) with similar accuracy to that of traditional prediction methods.
In a new...
Researchers have developed lymph node metastasis (LNM) prediction models based on natural language processing (NLP) and machine-learning (ML) algorithms.
In a study published in JMIR Medical...
Researchers have validated and developed machine-learning (ML) models that can predict six-month mortality for patients with advanced solid tumors who are considering a new line of therapy (LoT).
A...
A deep-learning model can accurately predict pediatric no-shows using data from patient EHRs and local weather information, which can then be used to implement no-show prevention measures, according to...
A new study published in Applied Soft Computing found that the content of emergency response phone calls could be analyzed and classified by a deep learning model based on emotion detection, and then...
According to researchers from UPMC and the University of Pittsburgh School of Medicine, advanced machine learning can be used to predict outcomes in patients with severe traumatic brain injuries...
A new study published in Nature explored swarm learning (SL) models as predictors of molecular alterations directly from standard histopathology images and hypothesized that these models could be a...
A systematic review published in PLOS Digital Health proposed the creation of a unified hospital length of stay (LoS) prediction framework following the analysis of recent developments in LoS...
Machine learning (ML) algorithms that leveraged an administrative database outperformed conventional methods of predicting sepsis mortality rates, according to a study published in the Journal of...
A recently published diagnostic modeling study published in JAMA Network Open successfully developed machine-learning algorithms to predict occult nodal metastasis in patients with early-stage oral...
New York City-based Northwell Health and startup studio Aegis Ventures announced the launch of their healthcare artificial intelligence (AI) company creation platform, Ascertain.
The platform aims to...
To enhance the accuracy of predicting cardiac arrest, researchers from Johns Hopkins University created an artificial intelligence (AI) system based on raw images of patient hearts and data on their...
A machine-learning approach helped clinicians determine how factors such as age, level of care, anesthesia, and ventilation, impact the development of pressure ulcers in inpatient settings, according...
Researchers from Yale University developed the multiscale PHATE machine learning tool that provides a detailed analysis of millions of immune cells and information regarding which type could lead to...
A new artificial intelligence (AI) tool created by physician-scientists in the Smidt Heart Institute at Cedars-Sinai was able to detect two types of heart disease that are typically hard to diagnose,...
The Ohio State University Comprehensive Cancer Center –Arthur G. James Cancer Hospital and Richard J. Solove Research Institute (OSUCCC - James) have joined Caris Life Science's Precision...
UCHealth, based in Aurora, Colorado, is partnering with HealthRhythms, a digital mental health startup, to offer an artificial intelligence-based digital platform to millions of mental health...
The University of North Carolina (UNC) at Chapel Hill will play an important role in the National Institutes of Health's (NIH) new study on precision nutrition.
UNC received two of 14 awards...
National Eye Institute researchers created and validated an artificial intelligence-based method to evaluate patients with Stargardt, an eye disease that can lead to childhood vision loss.
The AI...
University of Minnesota Medical School researchers evaluated the real-time performance of a machine learning tool that supported clinical decision-making for emergency department discharges at M...
