Search Results for: Explainable

January 18, 2025January 18, 2025

Explainable Predictive Model for Suicidal Ideation During COVID-19: Social Media Discourse Study.

Publication date: Jan 17, 2025 Studying the impact of COVID-19 on mental health is both compelling and imperative for the health care system’s preparedness development. Discovering how pandemic conditions and ... Read more

January 15, 2025January 15, 2025

Application of explainable AI to healthcare: a review

Dr. Richard A. Blevins News, Informatics News

Publication date: Jan 14, 2025 The world of technology is advancing by the day, presenting innovative and efficient solutions across various sectors, with healthcare being no exception. This review study ... Read more

January 3, 2025January 3, 2025

Drug discovery and mechanism prediction with explainable graph neural networks.

Dr. Richard A. Blevins Literature, Informatics Literature

Publication date: Jan 02, 2025 Apprehension of drug action mechanism is paramount for drug response prediction and precision medicine. The unprecedented development of machine learning and deep learning algorithms has ... Read more

December 24, 2024December 24, 2024

BenchXAI: Comprehensive Benchmarking of Post-hoc Explainable AI Methods on Multi-Modal Biomedical Data

Dr. Richard A. Blevins News, Informatics News

Publication date: Dec 22, 2024 The increasing digitalisation of multi-modal data in medicine and novel artificial intelligence (AI) algorithms opens up a large number of opportunities for predictive models. In ... Read more

December 10, 2024December 10, 2024

DDI-GPT: Explainable Prediction of Drug-Drug Interactions using Large Language Models enhanced with Knowledge Graphs

Dr. Richard A. Blevins News, Informatics News

Publication date: Dec 08, 2024 Identifying potential drug-drug interactions (DDIs) before clinical use is essential for patient safety yet remains a significant challenge in drug development. We presented DDI-GPT, a ... Read more

December 6, 2024December 6, 2024

Integrated explainable machine learning and multi-omics analysis for survival prediction in cancer with immunotherapy response.

Melanoma Literature

Publication date: Dec 04, 2024 To demonstrate the efficacy of machine learning models in predicting mortality in melanoma cancer, we developed an interpretability model for better understanding the survival prediction ... Read more

December 6, 2024December 6, 2024

Integrated explainable machine learning and multi-omics analysis for survival prediction in cancer with immunotherapy response.

Melanoma Literature

December 5, 2024December 5, 2024

Leveraging deep transfer learning and explainable AI for accurate COVID-19 diagnosis: Insights from a multi-national chest CT scan study.

Coronavirus Literature

Publication date: Dec 03, 2024 The COVID-19 pandemic has emerged as a global health crisis, impacting millions worldwide. Although chest computed tomography (CT) scan images are pivotal in diagnosing COVID-19, ... Read more

November 28, 2024November 28, 2024

Early detection of autism spectrum disorder using explainable AI and optimized teaching strategies.

Autism Literature

Publication date: Jan 01, 2025 Autism spectrum disorder (ASD) is defined by the deficits of social relating, language, object use and understanding, intelligence and learning, and verbal and nonverbal communication. ... Read more

November 25, 2024November 25, 2024

Spatiotemporal variations of PM and ozone in urban agglomerations of China and meteorological drivers for ozone using explainable machine learning.

Coronavirus Literature

Publication date: Nov 22, 2024 Ozone pollution was widely reported along with PM reduction since 2013 in China. However, the meteorological drivers for ozone varying with different regions of China ... Read more