Results 151 to 160 of about 2,974,211 (250)

Managing and visualising geochemical data for tephra correlation with the IntChron Integration Tool

Journal of Quaternary Science, EarlyView.
ABSTRACT There is now a wealth of glass‐shard geochemical data for volcanic ash (tephra) layers from a wide range of volcanoes and eruptions, providing invaluable datasets for tephrochronology. However, compilation of published data to assess tephra correlations leads to large files and requires careful management.
Victoria C. Smith, Danielle McLean, Eloise Wilkinson‐Rowe, Emma L. Horn, Gavin Kane, Christopher Bronk Ramsey   +5 more
wiley   +1 more source

Mapping Half a Century of Global Brain Abscess Research: A Bibliometric Analysis of Output, Themes, and Collaboration (1975-2025). [PDF]

Cureus
Gopal Rajan V, Joshi T.
europepmc   +1 more source

Setting the Record Straight: The Intellectual Legacy of H. Igor Ansoff (1918–2002)

Strategic Change, EarlyView.
ABSTRACT This study presents a comprehensive annotated bibliography of H. Igor Ansoff's intellectual contributions, addressing significant gaps in existing citation databases such as Scopus and Web of Science, which capture only 9 to 15 percent of his work.
Richard W. Puyt
wiley   +1 more source

Mapping Gaps in Current Knowledge on the Biology and Ecology of Five Mediterranean Non-Indigenous Fishes: Are International Bibliometric Databases Adequate? [PDF]

Biology (Basel)
Cucinelli F, Doria L, My G, Ingrosso R, Bohan T, Mancini F, Mancinelli G, Karachle PK.   +7 more
europepmc   +1 more source

The Role of Artificial Intelligence in Modern Allergology: A Review of Applications in Diagnosis, Prediction, and Management

JEADV Clinical Practice, EarlyView.
ABSTRACT Artificial Intelligence is rapidly transforming allergology by enhancing diagnosis, risk prediction, automation, patient communication, education, and therapy development. Machine learning approaches, including convolutional neural networks, recurrent architectures, and transformer‐based models, enable analysis of complex datasets from ...
Sebastian Seurig, Stephan Traidl, Sonja Mathes   +2 more
wiley   +1 more source

Artificial Intelligence for Assessment and Feedback in Medical Education: Bibliometric Mapping Study and Thematic Evidence Map. [PDF]

JMIR Med Educ
Zhao Z, Liu Z, Guo L, Pan T, Zhang Y, Miao C, Ge Y, Wang Y, Hu X, Wang X, Zhang R, Hou Z.   +11 more
europepmc   +1 more source

Artificial Intelligence in Dermatology: Current Applications and Future Directions

JEADV Clinical Practice, EarlyView.
This scoping review of 56 studies maps AI applications in dermatology. Image‐based classification for skin cancer detection dominates (48%), followed by clinical decision support (21%), teledermatology triage (11%), and predictive analytics (11%). While deep learning algorithms demonstrate diagnostic performance comparable to clinicians in controlled ...
Sofía Pérez‐Lalinde, Francisco Flores   +1 more
wiley   +1 more source

Robotic-assisted lymphatic surgery for lymphedema: Bibliometric mapping of an emerging reconstructive field. [PDF]

JPRAS Open
Fabi A, Wendelspiess SR, Alves AS, Klimitz FJ, Qiu SS, Haykal S, Kappos EA.   +6 more
europepmc   +1 more source

Correction to “Translational Medicine in Alzheimer's Disease: The Journey of Donanemab From Discovery to Clinical Application”

Chronic Diseases and Translational Medicine, EarlyView.
wiley   +1 more source

Mapping the Socialization Externalization Combination Internalization Model's Evolution: A Systematic Literature Review for Future Research

Knowledge and Process Management, EarlyView.
ABSTRACT This systematic literature review examines the evolution and contemporary relevance of the SECI model in knowledge management. A hybrid methodology, combining bibliometric analysis with the TCCM (Theories, Contexts, Characteristics, Methods) framework, was used to provide a comprehensive overview of the research domain.
Ngoc‐Anh Duong, Ryuichi Nakamoto
wiley   +1 more source