A deep-learning algorithm outperformed clinicians at detecting proximal femoral fractures, a type of hip fracture, when presented with X-ray images, according to a study published in The Lancet Digital...
Though research on machine learning use in medical imaging has grown significantly in recent years, improvements in the clinical use of such data remain limited, according to a study published in npj...
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...
Surgeons from the University of Texas MD Anderson Cancer Center in Houston have developed machine-learning models that can calculate risks for hernia recurrence and other complications.
A study that...
Following the implementation of an artificial intelligence system into ultrasound procedures, researchers from the RIKEN Center for Advanced Intelligence Project (AIP) noticed a sharp increase in the...
Although artificial intelligence (AI) continues to become a critical aspect of healthcare, researchers from PLOS digital health biases and data gaps involved in AI production can lead to healthcare...
Geisinger and Eisai plan to study the potential of artificial intelligence (AI) by testing the effectiveness of an algorithm to identify individuals with cognitive impairment who may develop...
Using EHR data from various healthcare institutions, Hitachi, University of Utah Health, and Regenstrief Institute collaborated to create an artificial intelligence (AI) method to enhance type 2...
Yale School of Medicine researchers have developed an artificial intelligence (AI) model that can help diagnose heart rhythm and conduction disorders based on electrocardiograms (ECG) images.
Machine...
A machine-learning algorithm was able to provide high-risk patients who missed a colonoscopy with information regarding the type of treatment needed, according to a study conducted by Geisinger and...
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...
A research team led by Mayo Clinic created an artificial intelligence (AI) computer-based algorithm that can use voice biomarkers to locate clogged arteries, helping clinicians detect heart...
To help improve heart transplants, investigators from Brigham and Women’s Hospital created an artificial intelligence (AI) system known as the Cardiac Rejection Assessment Neural Estimator...
Google has announced new artificial intelligence efforts, including tools that can help treat cardiovascular conditions and improve maternal health.
At a Google Health event called The Check Up, the...
Pennsylvania-based WellSpan York Hospital has implemented Aidoc's artificial intelligence (AI) solution, which helps radiologists find imaging abnormalities that cannote be seen with the naked...
Researchers used University of Utah and Primary Children’s Hospital EHRs to create a Poisson Binomial-based Comorbidity (PBC) method that can help shine a light on the impacts of comorbid...
While exploring the possibilities of integrating machine learning into clinical decision-making, a JAMA Network study found that novel machine learning-driven workflows helped improve test ordering...
As functionality and the need for new technology grows, a KLAS report examined how various organizations have renewed their smart pumps to match their needs and ensure patient safety.
In this KLAS...
Intending to put a dent in colorectal cancer (CRC) cases, researchers from the US and UK applied artificial intelligence to colonoscopies in an effort to reduce the number of colorectal polyps missed...
Researchers from Scripps Research Institute developed a new app called MyGeneRank that can predict the genetic risk for heart attacks along with information from 23andMe.
The researchers detailed how...
