Results 231 to 240 of about 53,148 (288)

Computer‐Aided Diagnosis in the Evaluation of Thyroid Nodules: A Study of Intra‐ And Inter‐Rater Reliability and Agreement

Head &Neck, EarlyView.
ABSTRACT Objective To evaluate the intra‐ and inter‐rater reliability of a computer‐aided diagnosis system applied to thyroid nodule assessment. Methods This prospective, single‐center study included 150 thyroid nodules evaluated by two physicians at two time points, 90 days apart.
Leonardo de Souza Piber, Luis Carlos Uta Nakano, Carolina Dutra Queiroz Flumignan, Ronald Luiz Gomes Flumignan   +3 more
wiley   +1 more source

Deep Learning for Pretreatment Imaging‐Based Tumor and Nodal Classification in Head and Neck Squamous Cell Carcinoma: A Systematic Review and Network Meta‐Analysis

Head &Neck, EarlyView.
ABSTRACT Background Accurate pretreatment assessment of the extent of tumor invasion and status of cervical lymph node metastasis is essential for staging and treatment planning in HNSCC. Deep learning (DL) shows promise but is limited by methodological heterogeneity. Methods We conducted a systematic review and network meta‐analysis (PRISMA). Studies (
Jannik Ketschau, Alex Grabenhorst, Hannes Singer, Johannes Brandt, Helena Kram, Nils Krautkremer, Maximilian F. Miragall, Katharina Pippich, Jonathan Mohr, Klaus‐Dietrich Wolff, Lucas M. Ritschl   +10 more
wiley   +1 more source

KeySDL: sparse dictionary learning for keystone microbe identification from steady-state observations using a dynamical-systems model. [PDF]

BioData Min
Gordon M, Akyol TY, Amos B, Andersen SU, Williams C.   +4 more
europepmc   +1 more source

Talent Management in SMEs: Unraveling the Role of Contextual Factors

Human Resource Development Quarterly, EarlyView.
ABSTRACT Employing a multiple case study analysis, this paper explores the contextual factors—internal, external, and relational—that affect small and medium‐sized enterprises (SMEs) in designing their approaches to talent management (TM). Results underscore the significance of two prominent internal variables—namely, organizational size and ownership ...
Franca Cantoni, Caterina Muzzi, Martina Gianecchini   +2 more
wiley   +1 more source

Microbiome data integration via shared dictionary learning. [PDF]

Nat Commun
Yuan B, Wang S.
europepmc   +1 more source

The Disquiet of Quiet Quitting: Definitional Clarity, Theoretical Pathways, and Future Research

Human Resource Management, EarlyView.
ABSTRACT Quiet quitting (QQ) has emerged as a prominent topic in both popular press and academic research, reflecting shifts in employees' engagement, effort allocation, and responses to contemporary work pressures. This review synthesizes findings from 11 papers published in a recent Special Issue on The Disquiet of Quiet Quitting.
Solon Magrizos, Lauren E. Aydinliyim, Dorothea Roumpi, Caitlin M. Porter, Jean M. Phillips, John E. Delery   +5 more
wiley   +1 more source

FroM Superstring to Indexing: a space-efficient index for unconstrained <i>k</i>-mer sets using the Masked Burrows-Wheeler Transform (MBWT). [PDF]

Bioinform Adv
Sladký O, Veselý P, Břinda K.
europepmc   +1 more source

Intrapartum oral azithromycin for maternal infection prophylaxis and the risk of postpartum hemorrhage: A secondary analysis of the A‐PLUS trial

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective A single oral dose of azithromycin (AZM) given during labor to women planning a vaginal delivery reduced maternal infections including sepsis, with a stronger effect in sub‐Saharan Africa than South Asia. Since maternal infection contributes to labor dysfunction and postpartum hemorrhage (PPH), we evaluated the effect of AZM on the ...
Larissa Sidze, Janet L. Moore, Waldemar A. Carlo, Musaku Mwenechanya, Elwyn Chomba, Jennifer J. Hemingway‐Foday, Avinash Kavi, Mrityunjay C. Metgud, Shivaprasad S. Goudar, Richard Derman, Adrien L. Lokangaka, Antoinette K. Tshefu, Melissa S. Bauserman, Carl L. Bose, Poonam Shivkumar, Manjushri Waikar, Archana B. Patel, Patricia L. Hibberd, Paul Nyongesa, Fabian Esamai, Osayame A. Ekhaguere, Sherri L. Bucher, Saleem Jessani, Shiyam Sunder Tikmani, Sarah Saleem, Robert L. Goldenberg, Sk Masum Billah, Ruth Lennox, Rashidul Haque, William A. Petri, Lester Figueroa, Manolo Mazariegos, Nancy F. Krebs, Tracy L. Nolen, Marion Koso‐Thomas, Elizabeth M. McClure, Alan T. N. Tita, for the A‐PLUS Trial Group   +37 more
wiley   +1 more source

A machine learning based scheme for enhancing the detection of position falsification attacks in vehicular ad hoc networks. [PDF]

Sci Rep
Abdelkreem E, Hussein S, Tammam A.
europepmc   +1 more source

International disparities in use of antenatal magnesium sulfate and antenatal steroids for the preterm baby

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Antenatal magnesium sulfate (MgSO4) and antenatal steroids (ANS) are evidence‐based interventions that reduce risk of cerebral palsy and respiratory complications in preterm babies. They are recommended in clinical guidelines internationally. However, we have limited information on how well they are being implemented.
Hannah B. Edwards, Erika M. Edwards, David Odd, Jelena Savović, Sarah Dawson, Mark Adams, Angelika Berger, Paul Corcoran, Jose Maria de Andrade Lopes, Luigi Gagliardi, R. Kishore Kumar, Rajesh Sharma, Lloyd Tooke, Frank de Vocht, Karen Luyt   +14 more
wiley   +1 more source