Afifa Salsabil Fathima
Papers
1
Total Citations
18
H-Index
1
About
Afifa Salsabil Fathima is a rising researcher in the intersection of artificial intelligence and healthcare, with a primary focus on developing accessible, machine learning-driven solutions for clinical support. Her most-cited work, "Medical ChatBot Assistance for Primary Clinical Guidance using Machine Learning Techniques" (2024, 18 citations), addresses a critical gap in global healthcare: the lack of round-the-clock medical services in rural and underserved areas. In this study, she proposed the Robotic Medical Support ChatBot (RMSCB) system, an innovative tool designed to provide primary clinical guidance when human medical professionals are unavailable. This contribution highlights her commitment to leveraging technology for social impact, particularly in bridging healthcare disparities. While her citation count is modest, reflecting her early-career stage, the work's immediate relevance to pressing real-world problems signals strong potential for future influence. Fathima's research demonstrates a clear trajectory toward practical, human-centered AI applications, making her a promising voice in the growing field of digital health. Her efforts exemplify how machine learning can be harnessed not just for technical advancement, but for tangible improvements in everyday medical access.
Research Focus
Key Achievements
Top Papers
- 1