Studies in health technology and informatics
Aug 22, 2024
Emergency department (ED) overcrowding is a complex problem that is intricately linked with the operations of other hospital departments. Leveraging ED real-world production data provides a unique opportunity to comprehend this multifaceted problem h...
The international journal of medical robotics + computer assisted surgery : MRCAS
Apr 1, 2024
BACKGROUND: The applicability of robot-assisted resection for huge hepatocellular carcinoma (HCC) of ≥10 cm remains contentious with limited available data.
The Journal of the Association of Physicians of India
Nov 1, 2023
: To study the efficacy of pulse methylprednisolone (MPS) therapy in patients with malaria-associated acute respiratory distress syndrome (ARDS). : The study was a randomized, single-blind, placebo-controlled trial with a total sample size of 44 pati...
There are only a few clinical data on nononcologic procedures performed with the new Hugo™ robot-assisted surgery (RAS) system. Robot-assisted simple prostatectomy (RASP) is a minimally invasive treatment option for benign prostatic hyperplasia, and...
Gan to kagaku ryoho. Cancer & chemotherapy
Apr 1, 2023
Robotic liver resection is a new platform for minimally invasive liver resection, and its functional advantages are expected to reduce or overcome the difficulties or limitations of laparoscopic liver resection, such as restricted instrument movement...
Studies in health technology and informatics
Jun 29, 2022
In this study, we update the evaluation of the Russian GPT3 model presented in our previous paper in predicting the length of stay (LOS) in neurosurgery. We aimed to assess the performance the Russian GPT-3 (ruGPT-3) language model in LOS prediction ...
OBJECTIVE: Motor vehicle collisions (MVCs) account for 1.35 million deaths and cost $518 billion US dollars each year worldwide, disproportionately affecting young patients and low-income nations. The ability to successfully anticipate clinical outco...
Studies in health technology and informatics
Jan 14, 2022
Patients, relatives, doctors, and healthcare providers anticipate the evidence-based length of stay (LOS) prediction in neurosurgery. This study aimed to assess the quality of LOS prediction with the GPT3 language model upon the narrative medical rec...
Zhurnal voprosy neirokhirurgii imeni N. N. Burdenko
Jan 1, 2022
BACKGROUND: Rational use of internal resources of hospitals including bed fund turnover is important objective in high-tech medicine. Machine learning technologies can improve neurosurgical care and contribute to patient-oriented approach.