Latest AI and machine learning research in urology for healthcare professionals.
PURPOSE: In Taiwan, the incidence of urothelial carcinoma of the upper urinary tract (UTUC) is high ...
Since nail psoriasis restricts the patient's daily activities, therapeutic intervention based on rel...
OBJECTIVE: Psoriatic arthritis (PsA) and rheumatoid arthritis (RA) are the most common types of infl...
BACKGROUND: There is a need for clinically actionable prognostic and predictive tools to guide the m...
Prostate Cancer is a disease that affects the male reproductive system. The irregularity of the symp...
The digitization of health records and growing availability of tumour DNA sequencing provide an oppo...
The coronavirus disease 2019 (COVID-19) has a significant impact on the global population, particula...
Age-related macular degeneration (AMD) is the leading cause of blindness in older people in develope...
Radiotherapy has been demonstrated to be one of the most significant treatments for cervical cancer,...
Multi-modality image registration is an important task in medical imaging because it allows for info...
Reporting of diagnostic nuclear images in clinical cancer management is generally qualitative. Thera...
PURPOSE: To study the diagnostic image quality of high b-value diffusion weighted images (DWI) deriv...
Deep learning involves an artificial intelligence (AI) approach and has been shown to provide superi...
RATIONALE AND OBJECTIVES: To establish a multimodal deep learning nomogram for predicting clinically...
PURPOSE: Pulmonary infection is the most common and serious complication after kidney transplantatio...
In clinical practice, the glomerular filtration rate (GFR), a measurement of kidney functioning, is ...
OBJECTIVES: Routine monitoring of renal and hepatic function during chemotherapy ensures that treatm...
PURPOSE: To create a machine-learning model for estimating the likelihood of post-retrograde intrare...
BACKGROUND: The increasing use of kidneys from elderly donors raises concerns due to age-related nep...
BACKGROUND: Accurate forecasting of clinical outcomes after kidney transplantation is essential for ...
BACKGROUND: Current prognostic models have limited predictive abilities for the growing number of lo...