Artificial intelligence can analyze pre-operative MRI scans to predict patient outcomes following prostate cancer surgery, a study published in EBioMedicine.
A critical factor in managing prostate...
A deep learning model may be able to detect breast cancer one to two years earlier than standard clinical methods, according to a study published in Nature Medicine.
The tool also demonstrated...
The FDA has released its first artificial intelligence and machine learning action plan, a multi-step approach designed to advance the agency’s management of advanced medical software.
The...
Potential jurors may not be strongly opposed to providers’ acceptance of artificial intelligence medical recommendations, indicating that clinicians may be less liable for medical malpractice...
A new early warning system can fill in gaps in infectious disease surveillance and forecast the spread of influenza using predictive analytics, according to a study published in Nature...
Current care delivery is, for the most part, conducted on an episodic basis. Patients generally see their doctors when they don’t feel well, limiting clinicians’ ability to provide...
Data from sites like Facebook and Twitter can reveal a lot about someone’s behavioral health. Past studies have shown that social media activity can predict a person’s demographic...
An explainable artificial intelligence platform that analyzes data captured during in-person consultations may enhance diagnosis and treatment of adverse childhood experiences (ACEs), according to a...
Artificial intelligence algorithms designed to detect diabetic eye disease may not perform as well as developers claim, according to a study published in Diabetes Care.
Diabetes is the leading cause...
Machine learning and real-world data could help researchers identify new uses for existing drugs, leading to accelerated drug repurposing, according to a study published in Nature Machine...
A sensor powered by machine learning can accurately detect serotonin at different levels in the brain while having little or no reaction to other neurotransmitters or similarly shaped drugs, according...
The Chicago Department of Public Health (CDPH) and Rush University Medical Center (RMUC) recently launched a big data analytics tool that offers information about COVID-19 testing, cases, and...
Using predictive analytics, researchers were able to accurately identify COVID-19 patients at risk of quickly deteriorating up to 24 hours in advance, a study published in British Journal of...
Using genetic data from diverse populations could help researchers develop better risk prediction scores for inflammatory bowel diseases, such as Crohn’s disease and ulcerative colitis, according...
The end of 2020 marks the conclusion of one of the most formidable years the healthcare industry has seen in recent memory.
The COVID-19 pandemic brought new challenges with it, while also shining a...
A microscope powered by deep learning technology can quickly image tissue sections, potentially during surgery, to help surgeons determine whether they’ve removed all cancer cells, according to a...
In the US, the dawn of winter has meant a surge of COVID-19 infections. Daily rates of new infections have jumped significantly since March, and the country recently surpassed 17 million confirmed...
While cancer obviously takes a momentous physical toll on the body, the disease can have dire effects on a person’s mental health as well – a trend that has only grown more common with the...
Machine learning can help inform public policies around quarantine measures to reduce the spread of COVID-19, according to a study conducted by MIT researchers.
As COVID-19 cases continue to increase...
Researchers from Johns Hopkins Bloomberg School of Public Health used big data analytics to develop a COVID-19 mortality risk calculator, a tool that could inform public health policies around...
