Research on the application effect of inter-professional training program for newly enrolled medical staff in operating room based on digital information technology. [PDF]
Zhang M, Wang W.
europepmc +1 more source
Preparing the healthcare workforce in South Africa for short-course rifampicin-resistant TB treatment: inter-professional training and task-sharing considerations. [PDF]
Farley JE +7 more
europepmc +1 more source
ABSTRACT Aim The National Clinical Database (NCD) of Japan is the largest nationwide registry, covering over 95% of surgeries in the country. This 2022 annual report summarizes the short‐term outcomes of gastroenterological surgeries and discusses trends and insights over the past decade.
Koshi Kumagai +19 more
wiley +1 more source
The mediating role of self-efficacy in the relationship between past professional training and burnout resilience in medical education: a multicentre cross-sectional study. [PDF]
Erschens R +11 more
europepmc +1 more source
Abstract Pharyngeal high‐resolution manometry with impedance (P‐HRM‐I) is an established assessment method used to evaluate pharyngeal swallowing. It provides precise quantification of swallowing biomechanics that enable the detection of alterations in swallowing physiology.
Mistyka Schar +5 more
wiley +1 more source
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 +4 more
wiley +1 more source
Corrigendum to "Transforming medical education to strengthen the health professional training in Viet Nam: a case study" [The Lancet Regional Health - Western Pacific, volume 27 (2022)/S2666606522001584]. [PDF]
Tran TD +18 more
europepmc +1 more source
Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source

