Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng +24 more
wiley +1 more source
The lung cancer pathway: seven years of evaluation of multidisciplinary pre-operative management and workflow optimization. [PDF]
Nocera A +12 more
europepmc +1 more source
Protecting the invisible health workforce: experiences and occupational safety challenges of facial protective equipment use among central sterile supply department workers. [PDF]
Rao H, Tuerdi A, Zhou X, Ren X.
europepmc +1 more source
LipoAssist: a structured GPT-4-based clinical workflow for preliminary lipedema assessment. [PDF]
Yukselmis O +3 more
europepmc +1 more source
From imaging enhancement to surgical autonomy: the evolutionary role of nanotechnology in AI-driven robotic surgery. [PDF]
Zhu J +5 more
europepmc +1 more source
Operative workflow characterization of the Hugo robotic-assisted surgery and da Vinci Multiport systems in left-sided colorectal surgery: a single-institution pilot analysis. [PDF]
Park JH +6 more
europepmc +1 more source
Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark [PDF]
Purpose: Surgical workflow and skill analysis are key technologies for the next generation of cognitive surgical assistance systems. These systems could increase the safety of the operation through context-sensitive warnings and semi-autonomous robotic assistance or improve training of surgeons via data-driven feedback. In surgical workflow analysis up
Anna Kisilenko +2 more
exaly +9 more sources

