Results 191 to 200 of about 530,057 (305)

Short‐Term Outcomes and Cost Drivers of Emergency Surgery for Acute Abdominal Disease in Super‐Elderly Patients: A Study in the Japanese Tertiary Care Hospital

Annals of Gastroenterological Surgery, EarlyView.
This retrospective study analyzed patients aged ≥ 85 years undergoing emergency abdominal surgery, focusing on short‐term outcomes and inpatient cost structure under the Japanese DPC system. Although major complications occurred in 19.4% of patients, more than 70% were discharged home.
Yuta Kobayashi, Ryo Oikawa, Yumi Shibuya, Masakazu Tatsuno, Atsuya Kamiyama, Tsuyoshi Ozawa, Keiichiro Hara, Shojiro Hata, Hirokazu Yamaguchi   +8 more
wiley   +1 more source

Research on instrument mix and regional suitability of digital publishing industrial policies: An empirical exploration based on qualitative comparative analysis of fuzzy set. [PDF]

PLoS One
Li S, Lam JFI.
europepmc   +1 more source

Regional Disparities in Case Volumes and Surgeon Distribution in Gastroenterological Surgery

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background Regional disparities in surgical resources may influence the delivery and sustainability of gastroenterological surgery, particularly in countries experiencing rapid population aging and depopulation. Methods This nationwide cross‐sectional study used data from the Japanese National Clinical Database to examine temporal trends (2013–
Hiroshi Hasegawa, Hiraku Kumamaru, Momoko Ara, Yoshihiro Kakeji, Hideko Yamauchi, Masafumi Inomata, Sadako Akashi‐Tanaka, Koji Ito, Shinji Itoh, Hidetoshi Eguchi, Kazumi Kawase, Yoshiaki Kinoshita, Yuki Kiyozumi, Shogo Kobayashi, Ikuko Shibasaki, Chiyoe Shirota, Hiroyuki Suzuki, Chie Takasu, Aoi Fujikawa, Saki Bessho, Kiyomi Horiuchi, Kosei Maemura, Ayako Maruo, Takuya Miura, Yuji Miyamoto, Toshiki Yajima, Ayuko Yasuda, Toshiharu Yamaguchi, Tadashi Iwanaka, Hideo Baba, Akinobu Taketomi   +30 more
wiley   +1 more source

Australian Rural Surgical Workforce: A Policy Analysis. [PDF]

Aust J Rural Health
Carmichael GJ, Tranquille T, Di Tano V, Al-Sharea A, Kovoor JG, Jacob MO.   +5 more
europepmc   +1 more source

Trends, Demographic Characteristics and Seasonal Patterns of Rectal Prolapse Surgery in Japan: A Nationwide Claims‐Based Analysis From 2014 to 2023

Annals of Gastroenterological Surgery, EarlyView.
This study analyzed nationwide trends, demographic characteristics, and seasonal patterns of rectal prolapse surgery in Japan using healthcare claims data. From 2014 to 2023, age‐adjusted overall and conventional surgeries declined significantly, whereas laparoscopic surgeries increased significantly.
Masamitsu Kido, Tomohiro Arita, Hiroki Shimizu, Jun Kiuchi, Kenji Nanishi, Katsutoshi Shoda, Hiroyuki Okimura, Atsuko Fujihara, Kengo Yoshii, Atsushi Shiozaki   +9 more
wiley   +1 more source

Spatiotemporal dynamics of low-carbon technology collaboration networks and regional public health governance implications: evidence from China's Yangtze River Delta. [PDF]

Front Public Health
Hu F, Yang H, Li Y, Zhao S, Wang X, Ren Z, Wei S, Hu J, Yang S, Zhou H, Hu H, Cheng J.   +11 more
europepmc   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Closing the Implementation Gap: New Models of Care to End Chronic Liver Disease. [PDF]

Lancet Reg Health Eur
Bril F, Kanwal F, Cusi K.
europepmc   +1 more source

Adaptive Autonomy in Microrobot Motion Control via Deep Reinforcement Learning and Path Planning Synergy

Advanced Intelligent Systems, EarlyView.
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi, Bairong Zhu, Haoyu Liu, Tingting Yu   +3 more
wiley   +1 more source

Shared Decision Making as a Policy and Clinical Framework for the Responsible Introduction of Repetitive Transcranial Magnetic Stimulation Therapy in Japan. [PDF]

Psychiatry Investig
Noda Y.
europepmc   +1 more source