NVIDIA has released new details about its annual GPU Technology Conference (GTC), a four-day event dedicated to AI technology.
Machine learning (ML) algorithms can be trained to predict acute kidney injury (AKI) in burn and trauma patients within the first 24 hours, according to a new study published in Scientific Reports.
AI technologies could make a significant impact on the future of spine care, according to a new analysis published in Global Spine Journal.
Patients and healthcare providers both see potential in AI’s ability to improve healthcare. Patients, however, appear to trust AI technology more than providers.
Patients can now use AI to monitor their glucose levels with off-the-shelf, noninvasive wearable sensors, according to a new study published in Scientific Reports.
Radiomics and machine learning can help healthcare providers determine if late gadolinium enhancement (LGE) on cardiac MR images is a sign of myocardial infarction (MI) or myocarditis.
Researchers have found a new way to predict AI’s impact on the U.S. workforce: paying close attention to patents.
Machine learning (ML) technology has gained popularity in recent years, but its use in healthcare remains largely limited to proof-of-concept academic studies, according to a new study published in Artificial Intelligence in Medicine.
Researchers have developed a deep learning system capable of evaluating tissue samples and diagnosing prostate cancer at a level comparable with many pathologists.
The use of AI in healthcare is rapidly rising, but healthcare providers remain an absolutely essential part of patient care, according to a new analysis published in CMAJ.
Machine learning can play a key role in planning treatment for patients diagnosed with major depressive disorder (MDD), according to new research published in JAMA Network Open.
The White House has proposed a new set of principles for governing the development of AI solutions throughout the United States.