Medical imaging generates a lot of data, for example during computer tomography. This data is important when it comes to personalized medicine. Artificial intelligence methods, such as machine learning, use this data to learn ...
Nov 3, 2023
0
24
In recent years, there have been rapid advancements in the field of computational pathology, which refers to the application of computational methods in pathology workflows. Traditional pathology involves the study of diseases ...
Oct 24, 2023
0
0
Ultrasound—a technology that uses sound waves to produce an image—is commonly used to monitor the development of a baby as it grows inside its mother. But ultrasound imaging also can be used to investigate suspicious ...
Oct 21, 2023
0
31
Hitting the gym or running track seems straight forward for some—but what are the barriers many women face in partaking in regular exercise, particularly after childbirth or older?
Sep 11, 2023
0
1
The most impressive uses of artificial intelligence rely on good data—and lots of it. Chatbots, for example, learn to converse from millions of web pages full of text. Autonomous vehicles learn to drive from sensor data ...
Aug 29, 2023
0
47
Markers that indicate the presence of Parkinson's disease in patients on average seven years before clinical presentation have been identified by a UCL and Moorfields Eye Hospital research team.
Aug 21, 2023
0
338
Each cigarette sold in Canada effective Tuesday now comes with an individual health warning that "cigarettes cause impotence" and cancer, and that there is "poison in every puff."
Aug 2, 2023
0
1
An artificial intelligence (AI) system, which mimics the gaze of radiologists reading medical images such as mammograms, has been developed by a team of scientists at Cardiff University.
Jul 21, 2023
0
143
A machine learning model developed by Duke Health researchers can differentiate normal cognition from mild cognitive impairment using retinal images from the eye.
Jul 10, 2023
0
44
A new computational technique that combines genomic and tau PET imaging data promises a more personalized approach for subtyping Alzheimer's disease. Based on a novel clustering framework using sparse canonical correlation ...
Jun 27, 2023
0
5
