Results 161 to 170 of about 345,762 (256)

The Geometry of Circulatory Shock: A Conceptual Multi-Scale Lagrangian Framework for Physiology-Informed Hemodynamic Phenotyping. [PDF]

open access: yesJ Clin Med
Chalkias A   +8 more
europepmc   +1 more source

BLOOD VOLUME STUDIES IN PULMONARY TUBERCULOSIS

open access: yesJournal of Thoracic Surgery, 1956
John H. Kehne   +2 more
openaire   +1 more source

Radical Resection of the Third Portion of the Duodenum for Secondary Aortoduodenal Fistula

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
Secondary aortoduodenal fistula most commonly involves the third portion of the duodenum and requires definitive management of both vascular and gastrointestinal components. We demonstrate a step‐by‐step technique for radical duodenal resection and reconstruction performed in structured collaboration with cardiovascular surgeons.
Koji Kubota   +4 more
wiley   +1 more source

Beyond fluid overload: uncovering the hidden causes of dyspnea in hemodialysis patients. [PDF]

open access: yesFront Med (Lausanne)
Buryskova Salajova K   +11 more
europepmc   +1 more source

Pulmonary blood volume and its significance in pulmonary hemodynamics.

open access: yesShinzo, 1974
Sakamoto, Tohru   +6 more
openaire   +1 more source

Current Status and Future Perspectives of Robotic Surgery for Esophagogastric Cancer in Asia

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
ABSTRACT Robotic‐assisted surgery (RAS) has moved from an experimental adjunct to an increasingly established component of gastrointestinal (GI) oncological practice in parts of Asia, a region that carries a disproportionately high burden of gastric and esophageal cancer. Asian surgeons have been among the earliest and most prolific contributors to the
Jia Jun Ang, Jimmy Bok Yan So
wiley   +1 more source

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

open access: yesAdvanced 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   +2 more
wiley   +1 more source

Home - About - Disclaimer - Privacy