Results 221 to 230 of about 81,270 (312)

Contemporary Regional Disparities in Robotic‐Assisted Rectal Resection in Japan: A Nationwide Population‐Based Study Using the National Database Open Data

Annals of Gastroenterological Surgery, EarlyView.
Robotic‐assisted rectal resection in Japan increased markedly after national insurance reimbursement in 2018, with a concurrent decline in open surgery. Using NDB Open Data, we found substantial inter‐prefectural heterogeneity in surgical volume and robotic utilization that persisted after age and sex standardization (SCR). Urban–rural differences were
Ryo Ohta, Takeshi Yamada, Key Uehara, Hiromichi Sonoda, Akihisa Matsuda, Seiichi Shinji, Yasuyuki Yokoyama, Goro Takahashi, Nobuhiko Taniai, Hiroshi Yoshida   +9 more
wiley   +1 more source

Follow the money: A startup-based measure of AI exposure across occupations, industries, and regions. [PDF]

PNAS Nexus
Fenoaltea EM, Mazzilli D, Patelli A, Sbardella A, Tacchella A, Zaccaria A, Trombetti M, Pietronero L.   +7 more
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

Methodological considerations for validating a machine learning model predicting recurrence after ESD in superficial esophageal cancer. [PDF]

Ann Med
Song D, Hou S, Gao J.
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

Early Diagnosis of Postpartum Obturator Neuropathy with Magnetic Resonance Imaging. [PDF]

Anesthesiology
Tang B, Pei L, Zhou J, Li M.
europepmc   +1 more source

Macrophage Phenotype Detection Methodology on Textured Surfaces via Nuclear Morphology Using Machine Learning

Advanced Intelligent Discovery, EarlyView.
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi, Kateryna Andriienkova, Tetyana Goldanova, Ezgi Antmen, Thibaut Soubrie, Nihal Engin Vrana   +5 more
wiley   +1 more source

International Recruitment and Nursing Shortage in the Nordic Region: Ethical Implication and the Global Code: A Policy Analysis. [PDF]

Int Nurs Rev
Cubelo F, Vaittinen T.
europepmc   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source

Commentary on Notification and Recordkeeping of Occupational Mesothelioma in India. [PDF]

Am J Ind Med
Singh R, Frank AL.
europepmc   +1 more source