Results 91 to 100 of about 3,321 (188)

Bridging Medical Specialities in the Management of Polycystic Ovary Syndrome: Integrating Lessons from Sodium-glucose Cotransporter-2 Inhibitors into a Holistic Approach. [PDF]

touchREV Endocrinol
Ach T, Amri F, ElOmma Mrabet H.
europepmc   +1 more source

Factors Associated with Fibromyalgia Diagnosis amongst People Meeting Criteria: Results from UK Biobank

Arthritis Care &Research, Accepted Article.
Objective The diagnosis of fibromyalgia (FM) is challenging due to the absence of definitive biomarkers, numerous overlapping comorbidities and its reliance on patient‐reported symptoms. Discrepancies between diagnostic criteria and clinical practice imply the possibility of diagnostic biases, complicating timely and accurate identification. This study
Sung‐A Kim, Gary J. Macfarlane, Marcus J. Beasley   +2 more
wiley   +1 more source

Evidence-Based Practice Attributes Among Specialist Nurses in Acute Care: A Cross-Sectional Study. [PDF]

Health Sci Rep
Ominyi J, Nwedu A, Agom DW, Chima U.
europepmc   +1 more source

Clinical Validation of Artificial Intelligence (AI)‐based Cartilage Segmentation Predicting Knee Replacement

Arthritis Care &Research, Accepted Article.
Objective For cartilage morphology to serve as a scalable endpoint in clinical trials, analyses should be performed automatically without human interaction. To clinically validate artificial intelligence (AI)‐based analysis, we studied cartilage loss from MRI prior to knee replacement.
Felix Eckstein, David J. Hunter, C. Kent Kwoh, Wolfgang Wirth   +3 more
wiley   +1 more source

Impact of breast cancer on sexuality and psycho-physical wellbeing: Survey analysis. [PDF]

Breast
Zagami P, Salimbeni BT, Preti EP, Esposito A, Marra A, Trapani D, Munzone E, Mazza M, Martella S, Durosini I, Perazzo S, Marsicano R, Maria Berton Giachetti PP, Curigliano G, Criscitiello C, Pravettoni G.   +15 more
europepmc   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Radiation Protection Compliance in Fluoroscopy-Assisted Procedures: A Prospective Audit in Operating Theatres. [PDF]

Cureus
Ali A, Balasundram K, Gunzler S.
europepmc   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source