BACKGROUND: Artificial intelligence (AI) has potential to streamline interpretation of pH-impedance studies. In this exploratory observational cohort study, we determined feasibility of automated AI extraction of baseline impedance (AIBI) and evaluat...
Medication non-adherence represents a significant barrier to treatment efficacy. Remote, real-time measurement of medication dosing can facilitate dynamic prediction of risk for medication non-adherence, which in-turn allows for proactive clinical in...
International journal of urology : official journal of the Japanese Urological Association
Nov 3, 2020
OBJECTIVE: To evaluate the quality of recovery in patients who underwent robot-assisted partial nephrectomy and to compare the outcomes of the transperitoneal or retroperitoneal approach.
To compare surgical, oncologic, functional outcomes and complication rate between intracorporeal neobladder (ICNB) and extracorporeal neobladder (ECNB) orthotopic ileal neobladder of robot-assisted radical cystectomy (RARC) in patients with nonmetas...
BACKGROUND: Many factors involved in the onset and clinical course of the ongoing COVID-19 pandemic are still unknown. Although big data analytics and artificial intelligence are widely used in the realms of health and medicine, researchers are only ...
Journal of pharmacokinetics and pharmacodynamics
Oct 26, 2020
Deep learning is the fastest growing field in artificial intelligence and has led to many transformative innovations in various domains. However, lack of interpretability sometimes hinders its application in hypothesis-driven domains such as biology ...
BACKGROUND: Inguinal hernia repair is one of the most commonly performed surgical procedures. We developed and validated an artificial neural network (ANN) model for the prediction of surgical outcomes and the analysis of risk factors for inguinal he...
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.