Results 101 to 110 of about 1,171,311 (279)

Assessing the learning curve for transumbilical single-site laparoscopy for endometrial cancer

Frontiers in Oncology
IntroductionApplying transumbilical laparoendoscopic single-site surgery to endometrial cancers is worldwide, and the depiction of the learning curve is rarely described, which leads to the vagueness of young clinical practitioners.
Fanlin Li, Ying Zheng, Fan Yang, Jianhong Liu   +3 more
doaj   +1 more source

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

Arthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos, José Miguel Sequí‐Sabater, Diego Benavent   +2 more
wiley   +1 more source

Learning curve and its effect on the results of transsphenoidal endoscopic surgery of pituitary adenomas

Учёные записки Санкт-Петербургского государственного медицинского университета им. Акад. И.П. Павлова
Introduction. Since the beginning of the development of the transsphenoidal approach, many practicing surgeons in their publications have emphasized the steep learning curve of this field, highlighting the difficulties that may arise for novice surgeons.
V. Yu. Cherebillo, Yu. I. Ryumina
doaj   +1 more source

Clinical, histological, and serological predictors of renal function loss in lupus nephritis.

Arthritis Care &Research, Accepted Article.
Objective Kidney survival is the ultimate goal in lupus nephritis (LN) management, but long‐term predictors remain inadequately studied, requiring long‐term follow‐up. This study aimed to identify baseline and early longitudinal predictors of kidney survival in the Accelerating Medicines Partnership LN longitudinal cohort.
Shangzhu Zhang, Laurence Magder, Daniel Goldman, Judith A. James, Joel M Guthridge, Carla Guthridge, Peter Izmirly, Jill P Buyon, H.Michael Belmont, Richard A. Furie, Noa Schwartz, Chaim Putterman, Jennifer L. Barnas, Jennifer H. Anolik, Sarah French, Maria Dall'era, Avi Z. Rosenberg, Jeffrey Hodgin, Dawit S. Demeke, the Accelerating Medicines Partnership RA/SLE Network, Michelle Petri, Andrea Fava   +21 more
wiley   +1 more source

Learning curve from COVID-19 pandemic

Journal of Current Research in Scientific Medicine, 2020
Reba Kanungo
doaj   +1 more source

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam, Anthony Siming Chen, Guido Herrmann   +2 more
wiley   +1 more source

Rapid reduction in surgical time and high level of accuracy in alignment and femoral component size prediction in robotic‐assisted total knee arthroplasty with ROSA Knee System

Journal of Experimental Orthopaedics
Purpose Robotic‐assisted total knee arthroplasty (RA‐TKA) has gained popularity for its potential ability to improve surgical precision and patient outcomes, despite concerns about its long learning curve and increased operative times.
Stefano Petrillo, Giorgio Moretti, Niccolò Bordignon, Sergio Romagnoli   +3 more
doaj   +1 more source

Endoscopic port access resection of left atrial myxoma: Clinical outcomes and a single surgeon’s learning curve experienceCentral MessagePerspective

JTCVS Techniques
Objectives: To evaluate the safety and efficacy of the port access approach for left atrial (LA) myxoma resection and to analyze the learning curve for this procedure.
Huy Q. Dang, PhD, MD, Huong T. Le, MD, Liem N. Dinh, MD   +2 more
doaj   +1 more source

A Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller

International Journal of Adaptive Control and Signal Processing, EarlyView.
Block Diagram of the Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller. ABSTRACT This article introduces a discrete‐time robust adaptive one‐sample‐ahead preview super‐twisting sliding mode controller. A stability analysis of the controller by Lyapunov criteria is developed to demonstrate its robustness in handling both ...
Guilherme Vieira Hollweg, Paulo Jefferson Dias de Oliveira Evald, Shivam Chaturvedi, Hilton Abilio Gründling, Rodrigo Varella Tambara, Wencong Su   +5 more
wiley   +1 more source

CRYPTOCURRENCY TIME SERIES FORECASTING MODEL USING GRU ALGORITHM BASED ON MACHINE LEARNING

Barekeng
The cryptocurrency market is experiencing rapid growth in the world. The high fluctuation and volatility of cryptocurrency prices and the complexity of non-linear relationships in data patterns attract investors and researchers who want to develop ...
Melina Melina, Sukono Sukono, Herlina Napitupulu, Norizan Mohamed, Yulison Herry Chrisnanto, Asep ID Hadiana, Valentina Adimurti Kusumaningtyas   +6 more
doaj   +1 more source