The Pittsburgh Health Data Alliance (PHDA) is partnering with Amazon Web Services (AWS) to improve medical imaging, cancer diagnostics, precision medicine, voice-enabled technologies, and other areas...
New artificial intelligence (AI) helps radiologists more accurately read breast cancer screening images through deep learning models.
The model read and interpreted the findings of digital breast...
A deep learning tool was able to analyze chest x-rays and discover “hidden” prognostic information to predict long-term mortality, identifying patients most likely to benefit from...
To advance the use of machine learning in medical imaging, researchers will have to examine radiologists’ perceptions of the technology, as well as the cost-effectiveness of these tools,...
Artificial intelligence (AI) developed at the Cleveland Clinic uses machine learning to combine medical scans and electronic health records (EHR) generating personalized radiation therapy doses for...
MIT researchers have developed an automated system that can gather more data from images used to train machine learning models, including algorithms that can analyze brain scans to help diagnose and...
Machine learning algorithms can rapidly analyze biopsy images and reduce the time it takes to diagnose gut diseases in children, revealed a study published in JAMA Network Open.
Sana Syed, assistant...
Using deep learning technology, researchers from Massachusetts Institute of Technology (MIT) and Massachusetts General Hospital (MGH) were able to predict women’s future risk of breast cancer...
The Icahn School of Medicine at Mount Sinai has announced the launch of a new center that will advance clinical care with artificial intelligence, genomic screening, and data science.
The Hamilton and...
Deep learning technology could help clinicians more accurately identify intracranial aneurysms, resulting in fewer incidents of stroke, brain damage, or death, a study published in JAMA Network Open...
Countless studies have shown the many ways artificial intelligence could transform the medical imaging field.
From detecting lung cancer as well as human radiologists to predicting kidney function...
A deep learning tool built by researchers at Google detected lung cancer as well as or better than human radiologists, showing the potential for AI to boost chances of survival for patients at...
Deep learning continues to demonstrate its ability to enhance providers’ expertise and analysis.
In a study published in Nature Communications, researchers from the University of California,...
Few adages sum up the challenges of bringing artificial intelligence to the healthcare industry better than Amara’s law, which states that people tend to overestimate the effect of a new technology in the short term but underestimate...
There’s no question that artificial intelligence is moving quickly in the healthcare industry. Even just a few months ago, AI was still a dream for the next generation: something that would...
No longer the exclusive provenance of researchers and academics, artificial intelligence is quickly filtering into the everyday clinical setting.
From supporting radiologists to enhancing the...
Deep learning has been hailed as a revolutionary tool for supporting faster, more accurate, and more detailed clinical decisions in radiology.
Almost every day, researchers are releasing new...
Researchers at the University of Pittsburgh and UPMC Hillman Cancer Center are using machine learning to substantially reduce false positives in lung cancer screenings.
Lung cancer is the...
Medical imaging and machine learning are on a collision course that promises significant advancements in diagnostics and precision medicine, according to a new report from Frost &...
An artificial intelligence (AI) tool was able to analyze digital images of a woman’s cervix and identify precancerous changes with more accuracy than human experts.
Developed by researchers from...
