Results 221 to 230 of about 64,956 (306)
Evaluation of an Artificial Intelligence Defined Lung Nodule Malignancy Score in Incidental Pulmonary Nodules: The CREATE Study. [PDF]
Koksal D +11 more
europepmc +1 more source
Summary The autonomic nervous system regulates cardiovascular activity during sleep, likely impacting cardiovascular health. Aging, a primary cardiovascular risk factor, is associated with cardiac autonomic disbalance and diminished sleep slow waves. Therefore, slow waves may be linked to aging, autonomic activity and cardiovascular health. However, it
Stephanie Huwiler +5 more
wiley +1 more source
Layer by Layer: Assessing AI Diagnostic Accuracy With Incremental Case Information in Neuroradiology. [PDF]
Lotfian G, Jhaveri M, Dua SG, Suthar PP.
europepmc +1 more source
The Refugee EO in the Ninth Circuit: Rights, Wrongs, and Remedies [PDF]
Margulies, Peter
core +1 more source
ABSTRACT Insomnia may play a causal role in type 2 diabetes (T2D). Addressing insomnia through cognitive behavioural therapy (CBTi) in people with non‐diabetic hyperglycaemia could potentially reduce the risk of progression to T2D. To inform a future randomised trial, we performed a feasibility study of digital CBT (dCBTi) in individuals at increased ...
Rachel Sharman +11 more
wiley +1 more source
Challenges of Artificial Intelligence in Medical Diagnosis in Congolese Hospitals: A Literature Review. [PDF]
Muamba GT +4 more
europepmc +1 more source
Individual and Social Responsibility: Child Care, Education, Medical Care, and Long-Term Care in America [PDF]
Henry Hansmann
core
A Systematic Review on Applications of Artificial Intelligence for Obesity Prevention
ABSTRACT This systematic review examines the applications of artificial intelligence (AI) in preventing obesity, addressing a critical public health issue that affects a substantial portion of the population. With obesity rates rising alarmingly, particularly in the United States, this review synthesizes findings from 46 studies published between 2008 ...
Atefehsadat Haghighathoseini +4 more
wiley +1 more source
Predicting High Urinary Tract Infection Rates in Skilled Nursing Facilities: A Machine Learning Approach. [PDF]
Dolezel D, Wang T, Gobert D.
europepmc +1 more source

