Gan to kagaku ryoho. Cancer & chemotherapy
Dec 1, 2019
Laparoscopic hepatectomy has gained popularity owing to its merits, such as low invasiveness and reduced bleeding. However, the efficacy of laparoscopic repeat hepatectomy(LRH)has not been confirmed. The aim of this study was to evaluate the feasibil...
Gan to kagaku ryoho. Cancer & chemotherapy
Dec 1, 2019
BACKGROUND: Surgical site infections(SSIs)occur at a high frequency in patients after rectal cancer surgery and are readily aggravated. Therefore, prophylactic measures for infections based on the evaluation of the patient's perioperative risk are ve...
Gan to kagaku ryoho. Cancer & chemotherapy
Dec 1, 2019
BACKGROUND: Due to an aging society, patients with gastric cancer are also getting older. Although total gastrectomy should be avoided for elderly patients, laparoscopic subtotal gastrectomy(LSTG)is a technically demanding procedure. Here, we present...
Gan to kagaku ryoho. Cancer & chemotherapy
Dec 1, 2019
AIM: This study aimed to determine surgical outcomes in patients with gynecological cancers for whom surgery was performed by gynecologists and digestive surgeons.
OBJECTIVE: This study evaluated the characteristics of new users of sodium glucose co-transporter 2 inhibitors (SGLT2i) in clinical practice to assess the applicability of the findings from clinical trials (Empagliflozin, Cardiovascular Outcomes and ...
Clinical and translational gastroenterology
Dec 1, 2019
OBJECTIVES: Application of artificial intelligence in gastrointestinal endoscopy is increasing. The aim of the study was to examine the accuracy of convolutional neural network (CNN) using endoscopic images for evaluating Helicobacter pylori (H. pylo...
PURPOSE: We sought to distinguish lung adenocarcinoma (ADC) from squamous cell carcinoma using a machine-learning algorithm with PET-based radiomic features.
Journal of the American Medical Informatics Association : JAMIA
Dec 1, 2019
OBJECTIVE: To use unsupervised topic modeling to evaluate heterogeneity in sepsis treatment patterns contained within granular data of electronic health records.
PRECIS: Pegasus outperformed 5 of the 6 ophthalmologists in terms of diagnostic performance, and there was no statistically significant difference between the deep learning system and the "best case" consensus between the ophthalmologists. The agreem...
JAMA otolaryngology-- head & neck surgery
Dec 1, 2019
IMPORTANCE: Predicting survival of oral squamous cell carcinoma through the use of prediction modeling has been underused, and the development of prediction models would augment clinicians' ability to provide absolute risk estimates for individual pa...
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