Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.Abstract Purpose (1) To evaluate the relationship between the Magnetic Resonance Observation of Cartilage Repair Tissue (MOCART) 2.0 score and post‐operative clinical outcomes following surgical repair of cartilage lesions in the tibiofemoral joint, and (2) to determine threshold values of the 1‐year MOCART 2.0 score associated with favourable patient ...
Hyun‐Soo Moon +8 more
wiley +1 more source
Non-contrast 3.0T coronary magnetic resonance angiography: Image quality comparison of coronal balanced-turbo-field-echo, axial turbo-field-echo, and modified-Dixon sequences. [PDF]
World J RadiolWei CW +6 more
europepmc +1 more source
Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.Abstract Purpose To compare the patellar tendon–lateral trochlear ridge (PT‐LTR) distance and patellar tendon–trochlear groove angle (PT‐TGA) between patients with lateral patellar instability (LPI) and those with malalignment‐induced patellofemoral pain (PFP), and to evaluate their differential diagnostic validity.
Razvan Pacala +5 more
wiley +1 more source
Extending the safe apnea window: preclinical evaluation of the Turbo® O₂ cap for hypoxia mitigation during difficult intubation. [PDF]
BMC AnesthesiolGoodwin RB, Salvino C, Benninger B.
europepmc +1 more source
Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.Abstract Purpose To assess the effect of the knee flexion on the tibial tuberosity–trochlear groove (TT–TG) distance measurement by comparing conventional and whole‐leg rotational magnetic resonance imaging (MRI). Methods This retrospective cohort study included 45 patients with patellar dislocations who had undergone both conventional knee MRI with ...
Chantal Gaudes +6 more
wiley +1 more source
A Comparative Evaluation of GPT-4 Turbo and Gemini-Pro in Medical Licensing Exams: Enhancing Artificial Intelligence's Role in Medical Education. [PDF]
CureusSussan TT +7 more
europepmc +1 more source
Benchmarking Large Language Models for Polymer Property Predictions
Macromolecular Rapid Communications, EarlyView.Large language models (LLMs) are fine‐tuned on polymer thermal property datasets to directly predict glass transition, melting, and decomposition temperatures from SMILES inputs. Compared to state‐of‐the‐art models such as Polymer Genome, polyGNN, and polyBERT, LLMs achieve competitive yet lower accuracy.
Sonakshi Gupta +3 more
wiley +1 more source
A comparative study of magnetic resonance imaging image-based deep learning and conventional turbo spin echo sequence in tumor-node staging of rectal cancer. [PDF]
Quant Imaging Med SurgFan W +6 more
europepmc +1 more source
Hierarchically Porous Coatings for Cellulose Fibers by Core–Shell Particle Templating
Macromolecular Rapid Communications, EarlyView.Hybrid and functional core–shell particles comprising a silica core and a polymer shell were synthesized and used to develop a coating and etching process applied to a cellulose substrate. This resulted in highly porous, functional coatings on a cellulose membrane for further application in cellulose‐based adsorbers and advanced membrane technology ...
Regina Leiner +5 more
wiley +1 more source
Zero-Shot PI-RADS Version 2.1 Scoring with ChatGPT-4 Turbo and Llama 3: Diagnostic Performance and Agreement with Abdominal Radiologists. [PDF]
Radiol Imaging CancerFiroozeh N +4 more
europepmc +1 more source