Results 201 to 210 of about 52,163 (250)

Validation of the Investigator's Global Assessment Scale for Epidermolysis Bullosa Simplex

JEADV Clinical Practice, EarlyView.
ABSTRACT Background There is a lack validated outcome measures to assess wound severity in epidermolysis bullosa simplex (EBS). Objectives To assess the reliability and validity of the Investigator's Global Assessment (IGA) scale and a newly developed palms/soles subscale through in‐clinic scoring and review of patient‐submitted photographs.
Pirunthan Pathmarajah, Shufeng Li, Maya B. Mathur, Joyce M. C. Teng, M. Peter Marinkovich, Austin N. Johnson, Shehla Admani, Edward Eid, Joanna Tu, Dominique C. Mitchell, Lila Perrone, Ricardo Villanueva Gaona, Jean Y. Tang, Albert S. Chiou   +13 more
wiley   +1 more source

Scale of Alopecia Areata Distress (SAAD‐41): Initial Validation Part 2—Scoring, Preliminary Reference Values and Validity

JEADV Clinical Practice, EarlyView.
The SAAD‐41 is a 41‐item scale developed to comprehensively assess Alopecia Areata psychosocial patient‐reported outcomes. Results support scoring the scale at the subdomain level and provisionally at the total‐score level. The total‐score can be calculated as a sum of the 41 SAAD items, with the sum referred to as the SAAD‐41‐Total.
Kristina Gorbatenko‐Roth, Mattea Trinitapoli, Sarah Wood, Irmina Wallander, Jaime Nugent, Maria Hordinsky   +5 more
wiley   +1 more source

AI-augmented ECG for pre-echocardiography triage: a tool to optimize cardiac imaging utilization. [PDF]

Eur Heart J Digit Health
Swamy AK, Krishnan D, Umredkar PN, Hn A, Palani SR, Rajagopal V, Narayan P, Padmanabhan D.   +7 more
europepmc   +1 more source

Lower preoperative Kellgren–Lawrence grade is associated with improved long‐term survivorship following medial meniscus posterior root repair

Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose The purpose of this study was to determine whether there was an association between preoperative Kellgren–Lawrence (KL) grade and long‐term failure rates, reoperation free survival rates, and patient reported outcomes of patients undergoing medial meniscal posterior root repair (MMPRR).
Dan Cohen, Camila Grandberg, Robert Edward Bilodeau, Jonathan Daniel Hughes, Dharmesh Vyas, Stephen Joseph Rabuck, Volker Musahl, Bryson Patrick Lesniak   +7 more
wiley   +1 more source

Redundancy-as-masking: formalizing the Artificial Age Score (AAS) to model memory aging in generative AI. [PDF]

Front Artif Intell
Kayadibi SY.
europepmc   +1 more source

MRI‐based deep learning models match or surpass physician performance for early detection and staging of avascular necrosis of the femoral head: A systematic review

Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose Efficient and reliable magnetic resonance imaging (MRI)‐based diagnosis of early avascular necrosis of the femoral head (AVNFH) is essential for guiding treatment but remains challenging due to variability in clinician experience. Deep learning (DL) models offer a promising solution. This review evaluates and summarizes the performance
Khaled Skaik, Jean Pierre Abdallah, Marc Daniel Bouchard, Olufemi R. Ayeni, Mahmoud Almasri   +4 more
wiley   +1 more source

Enhancing intrusion detection in encrypted DoH traffic through a robust ensemble learning framework. [PDF]

PLoS One
Abrahim H, Hou W, Zhuang Y, Rahman HU.
europepmc   +1 more source

Inter‐ and Intra‐Rater Reliability of 4D‐CT Versus Bronchoscopy in Diagnosing and Grading Tracheomalacia

The Laryngoscope, EarlyView.
Bronchoscopy and 4D‐CT are used to grade tracheomalacia severity, though reliability across raters and specialties has been unclear. In this multi‐institutional, multidisciplinary survey study, endoscopic assessment showed higher inter‐ and intra‐rater reliability than 4D‐CT, though both modalities demonstrated substantial‐to‐almost‐perfect agreement ...
Hannah F. Case, Shaunak Amin, Xing Wang, Michael Barbour, Michael Bindschadler, Tanya Meyer, Seth Friedman, Alberto Aliseda, John P. Dahl, Randall A. Bly   +9 more
wiley   +1 more source

Feasibility of multi-class dental caries detection using deep learning-based smartphone images: a pilot prospective study. [PDF]

Front Oral Health
Kang JY, Kim HK.
europepmc   +1 more source

Statistical filtering to aid in the sorting of phytoplankton: The effects of image library size and phytoplankton shape

Limnology and Oceanography: Methods, EarlyView.
Abstract The demand for efficient image sorting methods has increased due to technological advancements that enable more intensive phytoplankton monitoring. Both statistical and machine learning algorithms can misidentify algal taxa in taxonomically diverse samples, in which phytoplankton morphology and image traits can vary.
Christopher R. Farrow, Josef D. Ackerman
wiley   +1 more source