Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
BACKGROUND AND OBJECTIVE: Bronchopulmonary dysplasia is a common respiratory disease in premature infants. The severity is diagnosed at the 56th day after birth or discharge by analyzing the clinical indicators, which may cause the delay of the best treatment opportunity. Thus, we proposed a deep learning-based method using chest X-ray images of the 28th day of oxygen inhalation for the early seve...
With the rapid development of China's social economy, it is the most important task for the water conservancy industry to make use of the existing water conservancy engineering measures to carry out the research on river basin flood control dispatching. Large-scale joint operation of river basins usually needs to consider meteorological and hydrological conditions, historical flood data, multirese...
BACKGROUND: Opioid use disorder (OUD) is underdiagnosed in health system settings, limiting research on OUD using electronic health records (EHRs). Me...
Spontaneous intracerebral hemorrhage (ICH) has an increasing incidence and a worse outcome in elderly patients. The ability to predict the functional ...
BACKGROUND: In the DESIRE study (Discharge aftEr Surgery usIng aRtificial intElligence), we have previously developed and validated a machine learning...
The major emission sources of NO are from automobiles, trucks, and various non-road vehicles, power plants, coal fired boilers, cement kilns, turbines...
BACKGROUND: Minimally invasive liver resection is associated with lower perioperative morbidity and shorter hospital stay. However, the added benefit ...
In order to effectively improve the efficiency of hospital public management, we designed a hospital management index system based on deep learning mo...
Background After severe traumatic brain injury (sTBI), physicians use long-term prognostication to guide acute clinical care yet struggle to predict o...
AIMS: To evaluate the effectiveness of a multidisciplinary group psychoeducation treatment (GPT) in patients with Binge Eating Disorder (BED).
BACKGROUND AND OBJECTIVES: Selecting applications for college admission is critical for university operation and development. This paper leverages mac...
BACKGROUND: Severe maternal morbidity and mortality remain public health priorities in the United States, given their high rates relative to other hig...
Minimally invasive esophagectomy (MIE) reduces mortality and morbidity related to esophageal surgery, but a long learning curve is necessary due to th...
BACKGROUND: Unplanned readmission after transsphenoidal resection of pituitary adenoma can occur in up to 10% of patients but is unpredictable.
OBJECTIVE: To assess the feasibility and safety of same-day discharge (SDD) surgery after robot-assisted partial nephrectomy (RAPN) in patients with s...
INTRODUCTION: Most hospital assessment systems are based on the study of objective statistical variables as well as patient opinions on their experien...
INTRODUCTION: There is increasing interest in Artificial Intelligence (AI) and its application to medicine. Perceptions of AI are less well-known, not...
Accurate artificial intelligence (AI) for disease diagnosis could lower healthcare workloads. However, when time or financial resources for gathering ...
Traditional Chinese medicine (TCM) has sparked the public's attention for its potential in new drug development and its holistic view toward health, w...
RATIONALE AND OBJECTIVES: The burden of coronavirus disease 2019 (COVID-19) airspace opacities is time consuming and challenging to quantify on comput...