Felcia Liganz Deshna B
Papers
1
Total Citations
2
H-Index
1
About
Felicia Liganz Deshna B is an emerging researcher whose work sits at the intersection of artificial intelligence and biomedical diagnostics. Her primary focus is on developing AI-driven frameworks for the early and accurate detection of critical diseases affecting the kidney, heart, lung, and brain. Her most-cited paper, "Literature Review on Disease Diagnosis of Kidney, Heart, Lung and Brain using AI" (2023), provides a comprehensive synthesis of machine learning and deep learning techniques applied to multi-organ pathology, serving as a foundational resource for researchers exploring non-invasive diagnostic tools. Though early in her career, with her flagship review garnering 2 citations, the paper’s breadth and timeliness signal its potential to guide future studies in automated disease classification. Deshna B’s work is notable for its systematic approach to comparing algorithmic performance across different organ systems, highlighting gaps in current AI models and proposing directions for robust, scalable solutions. Her contributions are particularly valuable for students and practitioners seeking a consolidated overview of AI’s role in modern medicine, positioning her as a thoughtful voice in the growing field of computational healthcare.
Research Focus
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Top Papers
- 1