Results 141 to 150 of about 755,561 (244)

Exploratory Analysis of Factors Associated With the Recovery of Erectile Dysfunction After Rectal Cancer Surgery (Sub‐Analysis of LANDMARC Trial)

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background Erectile dysfunction (ErD) is an important complication after rectal cancer surgery, however a substantial proportion of patients experience functional recovery over time. Evidence regarding which patients are more likely to recover remains limited.
Ryosuke Mizuno, Koya Hida, Masakatsu Numata, Takashi Sakamoto, Kazutaka Obama, Akio Shiomi, Ryo Inada, Manabu Shiozawa, Mayumi Ozawa, Masanori Hotchi, Daisuke Yamamoto, Suguru Hasegawa, Masashi Miguchi, Shinobu Ohnuma, Tomohiro Yamaguchi, Tomonori Akagi, Yusuke Kinugasa, Shigeki Yamaguchi, Hiroyasu Kagawa, Masahiko Watanabe, Takeshi Naitoh, Ichiro Takemasa   +21 more
wiley   +1 more source

Holistic Nursing Experience of Implementing Hospital Accreditation in Iran: A Qualitative Study. [PDF]

Nurs Open
Mahnaz A, Nahid DN.
europepmc   +1 more source

Automation of Surgical Workflow Recognition: Unveiling the Surgical Instrument Kinematics that Underly Robot‐Assisted Prostatectomy Procedures

Advanced Intelligent Discovery, EarlyView.
Automated procedural analysis is recognized as one of the major game changers for robotic surgery. Meaning digital analysis needs to replace the manual assessments that set todays standard. Mechanical robotic‐instrument tracking enables the derivation of quantitative kinematic metrics that support behavior‐based workflow segmentation into distinct ...
Kateryna Pirkovets, Matthias N. van Oosterom, Vera A. Ottens, Henk G. van der Poel, Fijs W. B. van Leeuwen   +4 more
wiley   +1 more source

Burnout among medical doctors working in paediatric intensive care units in Bulgaria. [PDF]

Front Pediatr
Halilova M, Krumova D, Zlateva T, Teneva T, Pechilkov D, Mladenov B, Zdravkov B, Ivanov I, Avdjieva D, Yotov Y, Iotova V.   +10 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

Care without co-presence: Crafting alternative modes of involvement in UK intensive care in times of COVID-19. [PDF]

Med Anthropol Q
Driessen A, Hinton L.
europepmc   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

What leads to medication errors in polish hospitals from the perspectives of nurses? a multicenter cross-sectional survey. [PDF]

Front Pharmacol
Kwiecień-Jaguś K, Kopeć M, Małecka-Dubiela A, Guzak B.   +3 more
europepmc   +1 more source

Integrating Reinforcement Learning With Explainable Artificial Intelligence for Real‐Time Clinical Decision Support in Dynamic Healthcare Environments

Advanced Intelligent Systems, EarlyView.
A hybrid Reinforcement Learning–Explainable AI framework integrates SHAP and LIME explanations directly into a Deep Q‐Network inference loop for real‐time ICU decision support. Trained on 18 142 mechanically ventilated stays from the eICU database, the system attains 93.0% decision accuracy, 20% fewer errors than RL alone, and a 91% clinician trust ...
Jannatul Ferdaus Disha, MD Faiaz Zaman Dehan, Kazi Md. Tanvir Anzum   +2 more
wiley   +1 more source

Improving outcomes by empowering nurses to lead change in an acute stroke unit. [PDF]

Nursing
Hutton EL, Manlangit DF, Curren B, Vettil M, Ali NA, Zayed E.   +5 more
europepmc   +1 more source