A $3.2 million grant from NIH will support researchers in using artificial intelligence to improve outcomes for heart transplant patients.
Researchers from the Perelman School of Medicine at the...
Researchers at the University of Missouri School of Medicine, in partnership with Roche Diagnostics, have developed a big data dashboard to optimize the process of gathering relevant information for...
The University of California, San Diego (UCSD) School of Medicine and Cofactor Genomics are collaborating to boost patient outcomes in cancer care using precision medicine techniques.
The partnership...
The School of Engineering and Applied Science’s PRECISE Center and the School of Nursing at the University of Pennsylvania are partnering with Hillrom to develop artificial intelligence and...
The Department of Defense’s (DoD) Defense Innovation Unit (DIU) is leveraging artificial intelligence tools and the department’s vast amount of medical data to identify cancers and other...
By combining EHR data and genomic information, researchers were able to identify gene-specific signatures in childhood epilepsies, according to a study published in Genetics in Medicine.
The...
Researchers have created an early warning system that uses machine learning to predict necrotizing enterocolitis (NEC), a life-threatening intestinal disease that affects premature infants.
NEC...
An artificial intelligence algorithm was able to identify prostate cancer from tissue slides significantly more accurately than expert pathologists and previous algorithms, according to a study...
Researchers from MIT’s Computer Science and Artificial Intelligence Lab (CSAIL) have developed a machine learning tool that can adapt when and how often it defers to human experts based on...
Cerner Corporation and Holon Solutions have announced a partnership to offer accelerated, seamless clinical decision support at the point of care.
The organizations will deploy patented technology...
As the healthcare industry has increasingly aimed to deliver proactive, quality care, predictive analytics models have emerged as viable tools for improving outcomes and cutting costs.
From mapping...
Despite the promise of artificial intelligence in medical imaging, the FDA currently cannot ensure the safety and efficacy of automated AI in the imaging field, according to comments from the American...
NIH has announced that it will provide $75 million in funding over five years for the Electronic Medical Records and Genomics (eMERGE) Genomic Risk Assessment and Management Network, which aims to...
A team from the Lawrence J. Ellison Institute for Transformative Medicine of USC have developed a technique to train a deep learning algorithm for improved cancer diagnostics.
In a study published in...
A clinical decision support system that leverages machine learning techniques could help patients control their glucose levels and enhance type 1 diabetes management, according to a study published in...
Clinical decision support systems are essential for organizations aiming to advance healthcare delivery, helping physicians flag potential problems and make more informed choices.
Although these tools...
To inform decision-making during the COVID-19 pandemic, Cleveland Clinic has created predictive analytics models that help forecast patient volume, bed capacity, ventilator availability, and other...
In the era of value-based healthcare, digital innovation, and big data, clinical decision support systems have become vital for organizations seeking to improve care delivery.
Clinical decision support (CDS) tools have the ability to...
Machine learning tools could help enhance the accuracy of breast cancer screenings when combined with assessments from human radiologists, a study published in JAMA Network Open revealed.
Mammography...
As the volume of healthcare data increases and the shift to value-based care accelerates, clinical decision support tools are becoming more and more critical to ensure quality care delivery.
From...
