Results 1 to 10 of about 9,507,269 (226)
Application of an artificial-intelligence–based transesophageal echocardiography simulation system in residency training [PDF]
BackgroundTransesophageal echocardiography (TEE) is a key perioperative monitoring modality in anesthesiology, but traditional training is constrained by limited case exposure, patient safety concerns, and heterogeneous learning curves.
Meng Zhang +7 more
doaj +2 more sources
AI-driven telerehabilitation for older adults with mild cognitive impairment: a randomized controlled trial [PDF]
IntroductionWith the rising prevalence of aging populations, accessible interventions for Mild Cognitive Impairment (MCI) are critical. MCI, a high-risk transitional state to dementia, is considered the most opportune window for intervention to maintain ...
Minsong Kim +3 more
doaj +2 more sources
BackgroundIn the pediatric intensive care unit (PICU), quantifying illness severity can be guided by risk models to enable timely identification and appropriate intervention.
Niema Ghanad Poor +4 more
doaj +1 more source
“Teaching To the Test” Family of Fallacies
This article explains the various meanings and ambiguities of the phrase “teaching to the test” (TttT), describes its history and use as a pejorative, and outlines the policy implications of the popular, but fallacious, belief that “high stakes” testing ...
Richard P. Phelps
doaj +1 more source
Develop an esthetic-zonal non-invasive periodontal assessment tool based on YOLOv8 and intraoral images [PDF]
Objective Non-periodontal specialists (e.g., orthodontists and prosthodontists) often struggle to efficiently monitor periodontal health in the anterior esthetic zone.
Jiawei Hong +5 more
doaj +2 more sources
OBJECTIVE: To compare Artificial Intelligence (AI)-based teaching with traditional approach in chest radiographs to detect COVID-19 pneumonia. METHODS: This prospective experimental randomized controlled trial was conducted at Pakistan Institute of ...
Ayesha Isani Majeed
doaj +1 more source
BackgroundAssessing chatbot responses across 3 domains—medical, ethical, and legal—is essential to ensuring the safe use of artificial intelligence in health care.
Lenard Paulo Velasco Tamayo +4 more
doaj +1 more source
Further Comment on "'Lake Woebegone,' Twenty Years Later"
no ...
Richard P. Phelps
doaj
HENOS: A Henon Map-Based Chaotic Oversampling Strategy for Imbalanced Data Classification
The effectiveness of machine learning models is profoundly influenced by the quality and distribution of training data. However, real-world datasets are often highly imbalanced, where conventional classification algorithms tend to favor the majority ...
Bahaeddin Turkoglu +2 more
doaj +1 more source
John J. Cannell's late 1980's “Lake Wobegon” reports suggested widespread deliberate educator manipulation of norm-referenced standardized test (NRT) administrations and results, resulting in artificial test score gains.
Richard P. Phelps
doaj

