Results 31 to 40 of about 356,654 (249)

AI-based Electric Fire Detection State Judgment Data Set Construction

Tehnički Glasnik
In this paper, we create a virtuous cycle ecosystem of AI data for judging electric fire status. Data collection reflects feedback on inspection results such as collection of electric fire status judgment data through cloud sourcing and purification ...
Hee-Chul Kim
doaj   +1 more source

An artificial intelligence algorithm is highly accurate for detecting endoscopic features of eosinophilic esophagitis

Scientific Reports, 2022
The endoscopic features associated with eosinophilic esophagitis (EoE) may be missed during routine endoscopy. We aimed to develop and evaluate an Artificial Intelligence (AI) algorithm for detecting and quantifying the endoscopic features of EoE in ...
Christoph Römmele, Robert Mendel, Caroline Barrett, Hans Kiesl, David Rauber, Tobias Rückert, Lisa Kraus, Jakob Heinkele, Christine Dhillon, Bianca Grosser, Friederike Prinz, Julia Wanzl, Carola Fleischmann, Sandra Nagl, Elisabeth Schnoy, Jakob Schlottmann, Evan S. Dellon, Helmut Messmann, Christoph Palm, Alanna Ebigbo   +19 more
doaj   +1 more source

Sociodemographic Factors Associated With Later Stage at Diagnosis of Pediatric Germ Cell Tumors: A Report From Children's Oncology Group Registries ACCRN07 and APEC14B1

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Germ cell tumors (GCTs) often arise in the ovaries and testes (extracranial) but can also develop in the brain (intracranial). We examined the relationship of individual, family, and community‐level socioeconomic status (SES) with stage of disease at diagnosis in a cohort of pediatric patients with GCT from Children's Oncology Group
Heydon K. Kaddas, Judy Y. Ou, Todd Alonzo, Logan G. Spector, Negar Fallahazad, Emily Owens, Anne C. Kirchhoff, Adam L. Green   +7 more
wiley   +1 more source

FAIR principles for AI models with a practical application for accelerated high energy diffraction microscopy

Scientific Data, 2022
A concise and measurable set of FAIR (Findable, Accessible, Interoperable and Reusable) principles for scientific data is transforming the state-of-practice for data management and stewardship, supporting and enabling discovery and innovation.
Nikil Ravi, Pranshu Chaturvedi, E. A. Huerta, Zhengchun Liu, Ryan Chard, Aristana Scourtas, K. J. Schmidt, Kyle Chard, Ben Blaiszik, Ian Foster   +9 more
doaj   +1 more source

An AI toolkit for libraries

Insights: The UKSG Journal, 2022
Now that artificial intelligence (AI) tools are being widely used across academic publishing, how can we make informed assessments of these utilities? There is a need for a set of skills for evaluating new tools and measuring existing ones, which should ...
Michael Upshall
doaj   +1 more source

Impact of Japan's 2024 Physician Work‐Style Reform on Pediatric Hematology–Oncology: Educational Implications in a 2‐Year Survey

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Japan's 2024 physician work‐style reform introduced legally binding limits on physicians’ working hours, but its impact on education and workforce sustainability in pediatric hematology–oncology (PHO) remains unclear. Procedure We conducted a repeated cross‐sectional study with structured quantitative items and free‐text responses ...
Kiyohiko Kaizu, Masaharu Akiyama, Toshikazu Itabashi, Jun Hayakawa, Takahiro Kikuchi, Ryohei Fukunaga, Katsuyoshi Koh, Takahiro Ueda   +7 more
wiley   +1 more source

Reassessing Bone Marrow Aspirate and Trephine Biopsies in Staging for Paediatric and Young Adult Patients With Ewing Sarcoma and Rhabdomyosarcoma

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Ewing sarcoma (ES) and rhabdomyosarcoma (RMS) are aggressive malignancies in children and adolescents where metastases impact prognosis. 18F‐fluoro‐2‐deoxy‐d‐glucose positron emission tomography/computed tomography (FDG‐PET/CT) and bone marrow aspirate and trephine biopsies (BMAT) are used to identify disease involvement.
Imogen Andrews, Bruce Goodwin, Lauren Buckley, Rick Walker   +3 more
wiley   +1 more source

A Bibliometric Analysis of Publications in Uremic Toxins From 1991 to 2024

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Uremic toxins are a growing area of research in nephrology, with significant implications in the progression and treatment of chronic kidney disease (CKD) and the management of end‐stage kidney disease (ESKD). This bibliometric analysis aims to evaluate the global research trends, key contributors, and the impact of publications in ...
Yuh‐Shan Ho, Karim M. Soliman, Wisit Cheungpasitporn, Wannasit Wathanavasin, Ahmed Daoud, Ahmed I. Kamal, Balázs Szamosfalvi, Tibor Fülöp   +7 more
wiley   +1 more source

Preprinting in AI Ethics: Toward a Set of Community Guidelines

Communications of the ACM, 2023
As preprints grow in popularity, one researcher takes stock of the benefits and challenges for the AI ethics field.
openaire   +1 more source

Safety of Daprodustat for the Treatment of Chronic Kidney Disease Anemia: Final Analysis of a Multicenter Postmarketing Surveillance Study in Japan

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction This final analysis of a multicenter, prospective postmarketing surveillance study evaluated the safety of daprodustat in patients with chronic kidney disease anemia in routine clinical practice in Japan. Methods Patients who initiated daprodustat between September 2020 and July 2022 were registered.
Tadao Akizawa, Kyomi Kanaya, Kiyomi Aizawa, Masanori Onoki, Hirofumi Ozeki, Kazuko Suzuki, Ai Hayashi, Tomohiko Asamura   +7 more
wiley   +1 more source