Author

Dip Bahadur Singh

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Review Open access Sep 2026

Optimizing Tuberculosis Incidence Prediction: A Systematic Review of Hybrid Modeling Approaches and Machine Learning Techniques

ABSTRACT Background Tuberculosis (TB) remains a significant global health problem, particularly in low‐ and middle‐income countries (LMICs), where accurate prediction of TB incidence is crucial for effective public health interventions. Objective This review assessed and compared statistical, machine learning (ML), and...

Dip Bahadur Singh, Bipindra Pandey, Bibek Giri et al. · Public Health Challenges · 0 citations

Review Open access Aug 2026

Beyond the Black Box: Is Artificial Intelligence Ready to Reshape Neurosurgical Decision‐Making? A Narrative Review

This review critically examines whether AI is ready to reshape neurosurgical decision‐making, synthesizing current evidence while systematically analyzing technical, ethical, and regulatory barriers to clinical integration.

Dip Bahadur Singh, Yashoda Dangi, Bhishma Prasad Pokharel · Health Science Reports · 0 citations