Alishba Nadeem
Papers
2
Total Citations
7
H-Index
2
About
Alishba Nadeem is an emerging researcher at the intersection of artificial intelligence and healthcare, with a focused expertise in applying machine learning and deep learning methodologies to pressing medical challenges. Her work centers on two critical domains: AI-driven oncology and the broader integration of intelligent systems within healthcare delivery. In her highly regarded 2025 review on AI in oncology, Nadeem critically examines the shortcomings of conventional cancer diagnostic techniques while illuminating how advanced computational models are transforming detection accuracy, treatment optimization, and personalized therapy across multiple cancer types — a contribution that has already garnered 4 citations within its first year of publication. Complementing this, her 2024 comprehensive overview of AI applications across healthcare delivery systems explores how these technologies are reshaping clinical decision-making, surgical precision, patient experience, and pharmaceutical development, earning 3 citations from the research community. Though early in her career, Nadeem demonstrates a rare ability to synthesize complex technical advancements into accessible, impactful literature. Her growing body of work positions her as a promising voice in medical AI research, one whose contributions are increasingly recognized by fellow scholars navigating this rapidly evolving field.
Research Focus
Key Achievements
Top Papers
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