Multi‐Modal AI Approach in Depression Detection and Treatment: A Systematic Review of Last Decade
Overview of multimodal approaches for depression detection and treatment. ABSTRACT Depression is a common and devastating mental health illness with serious personal and societal consequences. Despite advancing treatment techniques, there are still hurdles in the effective diagnosis and treatment of depression, such as prompt diagnosis, personalized ...
Smith K. Khare +3 more
wiley +1 more source
Documented OSAS identified a higher‐risk cardiometabolic phenotype in patients undergoing AF ablation, including greater obesity, hypertension, diabetes, persistent AF, and adverse lipid markers. However, it did not independently predict post‐ablation rhythm‐related outcomes in either the registry cohort or the actively followed cohort.
Yazan Mohsen +9 more
wiley +1 more source
Redefinition of EEG frequency bands: a fractal model inspired by Blagg's Titius-Bode law. [PDF]
Tarlacı S +3 more
europepmc +1 more source
The Challenge of Determining the Etiology of Encephalopathy in an Elderly Patient
ABSTRACT Encephalopathy is a heterogeneous clinical syndrome with numerous neurological and systemic etiologies. We report the case of a 67‐year‐old man, a chronic ethanol consumer, admitted with a one‐week history of confusional syndrome. Initial laboratory tests revealed severe hypercalcemia, acute kidney injury, mild anemia, and hyperproteinemia ...
Vlad Alexandru Ionescu +9 more
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Functional Suppression of CLOCK Activity in Ventromedial Hypothalamic Prodynorphin Neurons Alters Locomotor Activity and Rapid Eye Movement Sleep. [PDF]
He T, Wang X.
europepmc +1 more source
ABSTRACT Treatment for hyperglycemic hyperosmolar syndrome (HHS) was initiated for a transferred unconscious patient. Aphasia and agnosia remained even after metabolic improvement. Arterial spin labeling (ASL) indicated increased blood flow in the left temporal and parietal lobes.
Go Yoshimichi
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Personalized audiovisual gamma stimulation enhances neural connectivity and entrainment beyond fixed 40 Hz protocols. [PDF]
Jeon JY, Lee H, Ji M, Kim JS, Ahn DH.
europepmc +1 more source
We systematically compared three feature selection strategies and four machine learning algorithms for in‐hospital cardiac arrest prediction. XGBoost achieved the best performance, and key predictive factors were identified through feature selection and SHAP analysis for early clinical risk stratification.
Tianxin Jiang +4 more
wiley +1 more source
Multi-Metal Leachate from Lithium Slag Induces Oxidative Stress, Circadian Disruption, and Neurobehavioural Toxicity in Zebrafish Larvae. [PDF]
Huang X +8 more
europepmc +1 more source
Toward Precision Biodiversity Detection: An Edge‐Deployable Framework for Mitigating Data Redundancy
This research introduces the WS—YOLO, a lightweight and high—efficiency wildlife detection model that is specifically optimized for edge deployment within camera trap systems. The goal is to enable both false trigger filtering and accurate animal detection within a single model, tailored for low‐power edge deployment. The proposed method contributes to
Huihui Sun, Yang Liu, Yang Wang
wiley +1 more source

