PA Health System Develops ML Model to Interpret Cancer Mutations
Researchers at Children’s Hospital of Philadelphia (CHOP) have developed a machine-learning (ML) platform to help clinicians identify cancer mutations and interpret their potential significance...Machine-Learning Models Able to Predict Risk of Renal Function Decline
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...Types of Deep Learning & Their Uses in Healthcare
Deep learning (DL), which is also known as deep structured learning or hierarchical learning, is a subset of machine learning. It is loosely based on the way neurons connect to one another to process information in animal brains. To...NJ Health System Implements AI Imaging Tool to Improve Health Outcomes
Atlantic Health System and New York-based artificial intelligence healthcare solutions company Aidoc have announced a partnership to implement an AI imaging solution to help physicians expedite care...Machine-Learning Models Outperform Clinicians in Predicting Cancer Growth
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...New Machine-Learning Models Can Predict 6-Month Cancer Mortality
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...Risk Models Show Vital Signs, Age Linked to COVID-19 Severity
While researching the correlation between COVID-19 and health outcomes, a study published in Scientific Reports used risk models to discover that vital signs, lab results, and age are factors that...UPMC, Pitt Develop Machine Learning Model to Predict Brain Injury Outcomes
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...New AI Model Classifies Seizures More Accurately Than Standard Methods
Researchers have developed a convolutional neural network (CNN) model, a type of deep learning model, for classifying epileptic seizures that is designed to provide maximum accuracy and minor...Universal Approach Needed to Improve Length of Stay Prediction Models
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...AI Method to Predict Sepsis Mortality Outperforms Conventional Approach
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...Machine-Learning Models Can Help Detect Early-Stage Cancer
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...AI to Detect Hip Fracture Outperforms Clinicians, But Use May Be Limited
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...Research Challenges Limit Machine Learning Use in Medical Imaging
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...Machine Learning Can Help Detect Abdominal Hernia Surgery Complications
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...Machine-Learning Algorithm Flags High-Risk Colorectal Cancer Patients
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...Machine Learning Links Age, Intensive Care to Pressure Ulcer Risk
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...Machine-Learning Model Helped Streamline 22% of Pediatric ED Visits
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...Sponsored by Consensus Cloud Solutions
