Results 241 to 250 of about 29,055 (302)

Advancing forward osmosis predictions: A deep learning‐based surrogate modeling approach

Journal of the Science of Food and Agriculture, EarlyView.
Abstract BACKGROUND This study presents a deep learning‐based surrogate model for the rapid and accurate prediction of forward osmosis (FO) performance under diverse operating conditions. To assess the applicability of data‐driven approaches, several machine learning models – decision tree, random forest, support vector machine, and deep neural network
Hyeon Woo Park, Woo‐Ju Kim
wiley   +1 more source

The Impact of Death Anxiety and Spirituality Level on Psychological Well-Being of Geriatric Home Care Patients: Machine Learning Approach. [PDF]

Psychiatry Investig
Uçar M, Yildiz M.
europepmc   +1 more source

Exploration of a Multimodal Machine Learning Model Integrating Ultrasound and Clinical Indicators for the Diagnosis of Diabetic Peripheral Neuropathy

Journal of Ultrasound in Medicine, EarlyView.
Objectives Based on ultrasound technology and clinical indicators, this study intends to develop multiple risk prediction models for diabetic peripheral neuropathy (DPN), conduct comparative analyses of these models, and further evaluate and validate the diagnostic efficacy of the optimal model for DPN as well as its potential in clinical application ...
Bo‐yu She, Meng‐lu Song, Wen‐bin Chen, Kun‐bin Wu, Zhen‐han Lai   +4 more
wiley   +1 more source

Structural brain imaging biomarkers for predicting seizure recurrence after a first unprovoked seizure. [PDF]

Epilepsia Open
Ooi S, Tailby C, Pardoe HR, Carney PW, Sethi M, Haderlein J, Jackson GD, Vaughan DN.   +7 more
europepmc   +1 more source

Accuracy of Key Sonographic Markers for Juxta‐Articular Fractures

Journal of Ultrasound in Medicine, EarlyView.
Objectives To systematically evaluate sonographic features of long bone juxta‐articular fractures and identify key diagnostic predictors using machine learning‐based feature selection. Methods This prospective single‐center diagnostic accuracy study enrolled 121 patients with clinically suspected juxta‐articular fractures.
Xiaofang Fu, Lirong Liu, Hao Sun, Changqin Sun, Qinhan Yang, Mengjie Dou, Duo Shi, Junpu Hu, Zhiming He, Guangquan Zhou, Shiyu Jin, Faqin Lv   +11 more
wiley   +1 more source

Telehealth Scale and Artificial Intelligence Adoption Tiers Across Clinical and Operational Domains in US Hospitals: Cross-Sectional Study. [PDF]

J Med Internet Res
Liu L.
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

A machine learning-based online prediction model for recurrence risk in patients with <i>Klebsiella pneumoniae</i> liver abscess: a multicenter retrospective study. [PDF]

Front Cell Infect Microbiol
Zhang L, Wang Y, Dong Y, Qu Y, Fu Y, Chen J, Chen K, Cui J, Bai Z, Li J, Yu A.   +10 more
europepmc   +1 more source

Protective Effects of Riociguat Against Contrast‐Induced Nephropathy: An Experimental and Machine Learning‐Based Study in Rats

The Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT Contrast‐induced nephropathy (CIN) is an important cause of acute kidney injury following exposure to iodinated contrast media, and effective preventive strategies remain limited. This study investigated the renoprotective effects of riociguat, a soluble guanylate cyclase stimulator, in an experimental rat model of CIN and explored machine ...
Mustafa Begenc Tascanov, Kenan Toprak, Sibel Turedi, İsmail Koyuncu, Zulkif Tanrıverdi, Necip Fazıl Dedeoglu, Halil Fedai, Asuman Bicer, İbrahim Halil Altıparmak, Recep Demirbag, Gencay Sarıısık   +10 more
wiley   +1 more source

The Role of Artificial Intelligence in Enhancing Quality of Care in Nursing Homes: A Rapid Review. [PDF]

Healthcare (Basel)
Mileski M, Torres AM, Beauvais B, Betancourt J, Ramamonjiarivelo Z, Topinka JB, Shanmugam R, Shapley R, McClay R.   +8 more
europepmc   +1 more source