Results 151 to 160 of about 56,364 (266)

Effect of Broad‐Spectrum Antibiotic Prophylaxis on Post‐Pancreatoduodenectomy Infectious Complications: Nationwide Inpatient Database Study in Japan

Annals of Gastroenterological Surgery, EarlyView.
Using a nationwide Japanese inpatient database, we evaluated whether broad‐spectrum antibiotic prophylaxis improves postoperative outcomes after pancreatoduodenectomy compared with narrow‐spectrum antibiotics. In propensity score–weighted analyses of 45 099 patients, broad‐spectrum prophylaxis was associated with significantly lower rates of intra ...
Hiroki Kitagawa, Shotaro Aso, Yuki Hirano, Kenichiro Uemura, Keita Kouzu, Satoru Matsuda, Hiroki Matsui, Kiyohide Fushimi, Junichi Sasaki, Yuko Kitagawa, Hideo Yasunaga   +10 more
wiley   +1 more source

Childhood immunization barriers and interventions in low- and middle-income countries: A scoping review of access, delivery systems, and health literacy. [PDF]

Hum Vaccin Immunother
Fatinah Y, Qolbina M, Alfaqeeh M, Insani WN, Sinuraya RK, Hamad A, Suwantika AA.   +6 more
europepmc   +1 more source

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

A review of artificial intelligence in healthcare supply chains: untapped potential? [PDF]

BMC Health Serv Res
Espinosa O, Basto S, Ordóñez A, Arias ML, Sepúlveda D, Bhutta MF.   +5 more
europepmc   +1 more source

Artificial Intelligence (AI) and Agribusiness: From Automation to Augmentation in a Global Context

Agribusiness, EarlyView.
Alexis H. Villacis
wiley   +1 more source

Relationship Between Hospital Volume and Outcomes of Minimally Invasive Esophagectomy for Esophageal Cancer: Analysis of the National Clinical Database in Japan

Annals of Gastroenterological Surgery, EarlyView.
According to multivariable analysis conducted using a hierarchical logistic regression model, using VHH as the reference group, the odds ratios for mortality by hospital volume category were as follows: VLH, 2.70 (p < 0.0001); LH, 1.72 (p = 0.052); MH, 1.70 (p = 0.034); and HH, 1.43 (p = 0.173).
Soji Ozawa, Hiraku Kumamaru, Yuko Kitagawa, Kazuo Koyanagi, Junya Oguma, Harushi Udagawa, Hiroaki Miyata, Yasushi Toh, Hisahiro Matsubara   +8 more
wiley   +1 more source

Preparing Canada's health system for conflict: a framework for civilian-military medical readiness. [PDF]

CMAJ
Grushka J, Bradley N, Klein D, Beckett A.   +3 more
europepmc   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Beyond the patient: how providers perceive and experience non-medical barriers in gastrointestinal cancer care. [PDF]

Support Care Cancer
Lal T, Moody D, Chiratanagandla R, Meehan G, Davey CH, Bora S, Stange K, Hoehn RS.   +7 more
europepmc   +1 more source

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

Advanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto, Gabriel Villarrubia Gonzalez, Ademir Nied, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon   +5 more
wiley   +1 more source