Gil P. Soriano

About

Gil P. Soriano is a pioneering researcher at the intersection of nursing science and artificial intelligence, whose work is redefining the future of healthcare delivery. His primary research areas encompass robotics in nursing, AI integration into clinical practice, and the application of machine learning for mental health assessment. Soriano’s major contributions include a foundational theoretical framework for deploying robots as collaborative partners in care settings, addressing critical staffing shortages while enhancing patient outcomes. His landmark 2022 paper, "Robots and Robotics in Nursing," has garnered 75 citations, establishing it as a key reference in the field. In a subsequent 2023 work (49 citations), he articulated how technological efficiency in AI systems can liberate nursing time, allowing clinicians to refocus on direct patient interaction. Demonstrating the breadth of his expertise, Soriano also applies deep learning to psychiatry, using multi-task cascaded convolutional networks for facial emotion recognition in schizophrenia—a novel approach that bridges computer vision and mental health diagnostics. His work is notable for its human-centered perspective, ensuring that technological advancement serves, rather than replaces, the therapeutic relationship.

Research Focus

Key Achievements

Top Papers

1. 1
   Robots and Robotics in Nursing

   75 citations · 2022
2. 2
   Technological machines and artificial intelligence in nursing practice

   49 citations · 2023
3. 3
   Comparison of Subjective Facial Emotion Recognition and “Facial Emotion Recognition Based on Multi-Task Cascaded Convolutional Network Face Detection” between Patients with Schizophrenia and Healthy Participants

   4 citations · 2022

Key Collaborators

Contact & Links