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Evaluating the impact of explainable AI on clinicians' decision-making: A study on ICU length of stay prediction.

International journal of medical informatics
BACKGROUND: Explainable Artificial Intelligence (XAI) is increasingly vital in healthcare, where clinicians need to understand and trust AI-generated recommendations. However, the impact of AI model explanations on clinical decision-making remains in...

Bioactive components of Jiedu Sangen decoction against colorectal cancer: A novel and comprehensive research strategy for natural drug development.

Phytomedicine : international journal of phytotherapy and phytopharmacology
BACKGROUND: Jiedu Sangen Decoction (JSD) is widely used in the treatment of colorectal cancer (CRC) patients in southern China due to its good clinical efficacy, but the effective active ingredients are still unknown.

SMOTE-Enhanced Explainable Artificial Intelligence Model for Predicting Visual Field Progression in Myopic Normal Tension Glaucoma.

Journal of glaucoma
PRCIS: The AI model, enhanced by SMOTE to balance data classes, accurately predicted visual field deterioration in patients with myopic normal tension glaucoma. Using SHAP analysis, the key variables driving disease progression were identified.

Initial seizure episodes risk factors identification during hospitalization of ICU patients: A retrospective analysis of the eICU collaborative research database.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia
BACKGROUND: We aimed to identify risk factors for initial seizure episodes in ICU patients using various machine learning algorithms.

An artificial intelligence perspective on geriatric syndromes: assessing the information accuracy and readability of ChatGPT.

European geriatric medicine
PURPOSE: ChatGPT, a comprehensive language processing model, provides the opportunity for supportive and professional interactions with patients. However, its use to address patients' frequently asked questions (FAQs) and the readability of the text ...

Does Musical Experience Facilitate Phonetic Accommodation During Human-Robot Interaction?

Journal of speech, language, and hearing research : JSLHR
PURPOSE: This study investigated the effect of musical training on phonetic accommodation in a second language (L2) after interacting with a social robot, exploring the motivations and reasons behind their accommodation strategies.

Machine Learning-Enhanced Cerebrospinal Fluid N-Glycome for the Diagnosis and Prognosis of Primary Central Nervous System Lymphoma.

Journal of proteome research
The diagnosis and prognosis of Primary Central Nervous System Lymphoma (PCNSL) present significant challenges. In this study, the potential use of machine learning algorithms in diagnosing and predicting the prognosis for PCNSL based on cerebrospinal...

Using the Geriatric Emergency Perioperative Risk Index Derived From Artificial Intelligence Algorithms to Predict Outcomes of Geriatric Emergency General Surgery.

The Journal of surgical research
INTRODUCTION: The objective of this study was to employ artificial intelligence (AI) technology for the development of a model that can accurately forecast the outcome of emergency general surgery (EGS) in elderly patients. Additionally, an innovativ...

Combining Ultrasound Imaging and Molecular Testing in a Multimodal Deep Learning Model for Risk Stratification of Indeterminate Thyroid Nodules.

Thyroid : official journal of the American Thyroid Association
Indeterminate cytology (Bethesda III and IV) represents 15-30% of biopsied thyroid nodules and require additional diagnostic testing. Molecular testing (MT) is a commonly used diagnostic tool that evaluatesmalignancy risk through next generation seq...