Results 121 to 130 of about 1,166 (257)

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

From chaos to clarity: schema-constrained AI for auditable biomedical evidence extraction from full-text PDFs. [PDF]

BMC Med Res Methodol
Mortezaagha P, Shaw J, Sun B, Rahgozar A.   +3 more
europepmc   +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

A similarity metric, rubric, and unified hierarchy for biomedical publication types and study designs. [PDF]

Database (Oxford)
Smalheiser NR, Menke JD, Holt AW.
europepmc   +1 more source

Reliable labels, uncertain meaning: Classifications for medial meniscus posterior root tears lack consensus and arthroscopy‐anchored accuracy

Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
ABSTRACT Purpose Multiple, nonharmonised classification systems exist for posterior medial meniscus root tears (PMMRT), yet their diagnostic accuracy and observer reliability remain unclear. This PRISMA‐2020 systematic review aimed to catalogue available PMMRT classifications and to summarise accuracy and reliability metrics.
Michelangelo Palco, Gabriele Giuca, Filippo Familiari, Danilo Leonetti, Robert F. LaPrade, Roberto Simonetta   +5 more
wiley   +1 more source

Dramatic increases in redundant publications in the Generative AI era. [PDF]

BMC Med
Maupin D, Suchak T, Barnett A, Spick M.
europepmc   +1 more source

Association between walking gait biomechanical changes after anterior cruciate ligament injury or reconstruction and the development of osteoarthritis: A systematic review

Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose Anterior cruciate ligament (ACL) injury and reconstruction significantly increase the risk of knee osteoarthritis (OA). Biomechanical alterations during walking are frequently suggested contributors to OA development. This systematic review aims to determine the association between walking gait biomechanical changes following ACL ...
Jérôme Riera, Mattéo Campion, Thomas Néri, Alexandre J. M. Rambaud, Noémie C. Duclos   +4 more
wiley   +1 more source

A novel plate design versus two conventional miniplates for treatment of mandibular angle fractures (a pilot randomized controlled clinical trial). [PDF]

BMC Oral Health
El-Masry PN, Mohamed NS, Saber ME.
europepmc   +1 more source

Artificial intelligence demonstrates comparable diagnostic accuracy to radiologists for anterior cruciate ligament tears on MRI: A systematic review and meta‐analysis

Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose Anterior cruciate ligament (ACL) tears are among the most common knee injuries, accounting for half of all knee ligament injuries. Magnetic resonance imaging (MRI) is the standard for diagnosing ACL tears, but its interpretation is experience‐dependent.
Gabriel Moraes de Oliveira, Serafina Zotter, Brian Tao, Ana Beatriz Nardelli da Silva, Maria Mascarenhas, Chilan B. G. Leite, Guilherme Almeida, Nacime Mansur, Giovanna Medina   +8 more
wiley   +1 more source

Research topic detection in scientific articles using a hybrid BERT integrated telescopic vector tree model with emperor penguin enhanced NSGA II optimization. [PDF]

Sci Rep
Krishnan K, Easwarakumar KS.
europepmc   +1 more source