Latest AI and machine learning research in medicaid for healthcare professionals.
Biological dosimetry is used to estimate one's dose by biological phenomena. The most popular and 'g...
Low pathogenicity avian influenza (LPAI) H7N3 was diagnosed in a flock of commercially raised Japane...
Fast and low-dose reconstructions of medical images are highly desired in clinical routines. We prop...
In the past half century, critical care medicine has made rapid development, and the survival rate o...
Medical ultrasonography was first used as a diagnostic tool in 1942 by Theodore Karl Dussik to visua...
To compare the image quality and Qanadli embolism index between deep learning image reconstruction ...
Low-dose computed tomography (CT) will increase noise and artefacts while reducing the radiation dos...
The overload of the current healthcare model makes the search for strategies to improve process effi...
A human vestibular system is a group of devices in the inner ear that govern the balancing movement ...
BACKGROUND: In view of the underlying health risks posed by X-ray radiation, the main goal of the pr...
A brain-computer interface (BCI) is a system that allows a human operator to use only mental command...
BACKGROUND: PET imaging is one of the most widely used neurological disease screening and diagnosis ...
Convolutional neural networks (CNNs) are increasingly widely used in psychology and neuroscience to ...
BACKGROUND: Assessing working posture risks is important for occupational safety and health. However...
We present a case of a 72-year-old man diagnosed with rectal cancer invading the urinary bladder/pro...
A 73-year-old woman was admitted with a chief complaint of weight loss. Colonoscopy revealed rectal ...
OBJECTIVE: We aim to prospectively validate a previously developed machine learning algorithm for lo...