Latest AI and machine learning research in public health & policy for healthcare professionals.
PURPOSE OF REVIEW: There has a been rapid progress in the use of artificial intelligence in all aspects of healthcare, and in urology, this is particularly astute in the overall management of urolithiasis. This article reviews advances in the use of artificial intelligence for the diagnosis, treatment and prevention of urinary stone disease over the last 2 years. Pertinent studies were identified ...
BACKGROUND: The Skeletal Oncology Research Group (SORG) machine learning algorithm for predicting survival in patients with chondrosarcoma was developed using data from the Surveillance, Epidemiology, and End Results (SEER) registry. This algorithm was externally validated on a dataset of patients from the United States in an earlier study, where it demonstrated generally good performance but over...
The benefits of Artificial Intelligence (AI) in medicine are unquestionable and it is unlikely that the pace of its development will slow down. From b...
OBJECTIVES: We present the development and validation of a portable NLP approach for automated surveillance of SSIs.
OBJECTIVES: To evaluate the utility of machine learning (ML) for the management of Medicare beneficiaries at risk of severe respiratory infections in ...
Herein we present simple methods to prevent postoperative inguinal hernia (IH) after extraperitoneal and transperitoneal robot-assisted radical prosta...
Improving health of Chinese people has become national strategy according to the . Patient experience evaluation examines health care service from per...
This study aimed to identify factors associated with receiving psychosocial treatment for ADHD in a nationally representative sample. Participants wer...
Rapid development in computer technology has led to sophisticated methods of analyzing large datasets with the aim of improving human decision making....
Today, the world suffers from the rapid spread of COVID-19, which has claimed thousands of lives. Unfortunately, its treatment is yet to be developed....
The volume, velocity and variety of data collected about individuals have increased exponentially over the last decade, presenting new injury surveill...
Automated Screening of COVID-19 from chest CT is of emergency and importance during the outbreak of SARS-CoV-2 worldwide in 2020. However, accurate sc...
The coronavirus disease (COVID-19) is rapidly spreading all over the world, and has infected more than 1,436,000 people in more than 200 countries and...
Personalized medicine is a new paradigm of healthcare in which interventions are based on individual patient characteristics rather than on "one-size-...
Accurate and rapid diagnosis of COVID-19 suspected cases plays a crucial role in timely quarantine and medical treatment. Developing a deep learning-b...
In recent years, several technological innovations have emerged to improve the rehabilitation of traumatic spinal cord injury (SCI). Among them, robot...
PURPOSE: To develop and test a machine-learning-based model to predict primary care and other specialties using Medicare claims data.
Traditional Chinese medicine(TCM) syndrome differentiation and treatment has a characteristic and advantageous efficacy in the prevention and treatmen...
The 2019 Novel Coronavirus disease (COVID-19) broke out in Wuhan, China in December 2019 and spread throughout the world. Early screening and early di...
The outbreak of pneumonia caused by novel coronavirus (COVID-19) at the end of 2019 was a major public health emergency in human history. In a short p...