Results 231 to 240 of about 20,583 (298)
Explainable deep learning approaches and clinical insights for cancer biomarker identification. [PDF]
Srivastava K, Srivastava R.
europepmc +1 more source
This study investigates the potential of the gut microbiome as a non‐invasive biomarker for breast cancer (BC) using a machine learning (ML) framework. Utilizing 16S rRNA gene sequencing data from the NCBI database for 962 individuals (520 BC patients and 442 healthy controls), we processed the sequences through a FastQC, QIIME2, and DADA2 pipeline ...
Md. Tanvir Ahmed +4 more
wiley +1 more source
Factors influencing the effectiveness of artificial intelligence-assisted decision-making in medicine: a scoping review. [PDF]
Jackson NJ +8 more
europepmc +1 more source
How artificial intelligence (AI) and digital twin (DT) technologies are revolutionizing tunnel surveillance, offering proactive maintenance strategies and enhanced safety protocols. It explores AI's analytical power and DT's virtual replicas of infrastructure, emphasizing their role in optimizing maintenance and safety in tunnel management.
Mohammad Afrazi +4 more
wiley +1 more source
The Role of Explanations in AI-Generated Alerts: Qualitative Study of Clinical Views on Explainable AI in Predictive Tools. [PDF]
Rahman J +6 more
europepmc +1 more source
ABSTRACT Groundwater‐dependent ecosystems (GDEs) are essential to ecological stability in semi‐arid regions, yet their identification and mechanistic interpretation remain constrained by limited long‐term observations and insufficient model interpretability.
Jueyan Jiang +3 more
wiley +1 more source
Explainable Artificial Intelligence in Assisted Reproductive Technology: Bridging Prediction and Clinical Judgment. [PDF]
Kritsotaki N +4 more
europepmc +1 more source
This review synthesizes AI advancements in food systems, leveraging machine learning, computer vision, robotics, and IoT for 96%–100% accurate quality inspection, 30% reduced downtime, and enhanced traceability from farm to fork. It highlights transformative potential in sustainability and SDGs while addressing data, ethical, and scalability challenges
Muhammad Waqar +9 more
wiley +1 more source
Toward transparent intelligence: Explainable stacked ensembles learning for LiDAR point cloud segmentation. [PDF]
Bondhon AR, Dey EK.
europepmc +1 more source

