Using artificial intelligence to detect COVID-19 in X-rays
Students at Cranfield University have designed computer models that can identify COVID-19 in X-rays.
May 27, 2020
0
14
Students at Cranfield University have designed computer models that can identify COVID-19 in X-rays.
May 27, 2020
0
14
Artificial intelligence (AI) may be an aid to interpreting ECG results, helping healthcare staff to diagnose diseases that affect the heart. Researchers at Uppsala University and heart specialists in Brazil have developed ...
May 5, 2020
0
129
The Harvard T.H. Chan School of Public Health and the Human Vaccines Project announce the Human Immunomics Initiative, a joint project that aims to revolutionize the understanding of the human immune system and accelerate ...
Apr 14, 2020
0
2
Experts at the University of Copenhagen, Denmark, have begun using artificial intelligence to create computer models that calculate the risk of a corona patient's needing intensive care or a ventilator.
Apr 3, 2020
1
2
Placentas can provide critical information about the health of the mother and baby, but only 20 percent of placentas are assessed by pathology exams after delivery in the U.S. The cost, time and expertise required to analyze ...
Nov 25, 2019
0
13
The next time you get sick, your care may involve a form of the technology people use to navigate road trips or pick the right vacuum cleaner online.
Nov 24, 2019
0
191
Scientists have developed a computer method that may help improve understanding and treatment of Crohn's disease, which causes inflammation of the digestive tract.
Sep 30, 2019
0
22
While reading an article about Sen. John McCain's glioblastoma diagnosis, Kavya Kopparapu was shocked to learn that the prognosis for this aggressive brain cancer has not improved over the past 30 years. With standard treatment, ...
Jun 21, 2019
0
0
When it comes to the diagnosis of pigmented skin lesions, artificial intelligence is superior to humans. In a study conducted under the supervision of the MedUni Vienna human experts "competed" against computer algorithms. ...
Jun 12, 2019
0
157
Twitter users with depression and anxiety were found to be more likely to post pictures with lower aesthetic values and less vivid colors, particularly images in grayscale, according to a new study led by researchers at Penn ...
May 15, 2019
0
7