BACKGROUND: Despite the unprecedented performance of deep learning algorithms in clinical domains, full reviews of algorithmic predictions by human experts remain mandatory. Under these circumstances, artificial intelligence (AI) models are primarily...
Journal of neuroengineering and rehabilitation
Jul 28, 2021
BACKGROUND: Socially assistive robots (SARs) have been proposed as a tool to help individuals who have had a stroke to perform their exercise during their rehabilitation process. Yet, to date, there are no data on the motivating benefit of SARs in a ...
IMPORTANCE: Physicians are required to work with rapidly growing amounts of medical data. Approximately 62% of time per patient is devoted to reviewing electronic health records (EHRs), with clinical data review being the most time-consuming portion.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 25, 2021
Primary care represents a major opportunity for suicide prevention in the military. Significant advances have been made in using electronic health record data to predict suicide attempts in patient populations. With a user-centered design approach, w...
OBJECTIVE: To explore user-centered design methods currently implemented during development of lower limb wearable robots and how they are utilized during different stages of product development.
Studies in health technology and informatics
May 12, 2025
Explainable Artificial Intelligence (XAI) offers promising advancements in enhancing transparency and usability of AI-based Clinical Decision Support Systems (CDSS) in healthcare settings. These tools aim to improve clinical outcomes by assisting wit...
Studies in health technology and informatics
Nov 18, 2024
This paper presents a conceptual prototype that integrates Artificial Intelligence (AI) and Augmented Reality (AR) with the principles of Universal Design (UD) to enhance decision-making in everyday scenarios for a diverse user base, eliminating the ...
Studies in health technology and informatics
Aug 22, 2024
This paper reports lessons learned during the early phases of the user-centered design process for an explanation user interface for an AI-based clinical decision support system for the intensive care unit. This paper focuses on identifying and verif...
Studies in health technology and informatics
Aug 22, 2024
This scoping review examines current research on AI for inclusive design for people with disabilities. We identified both advantages and challenges of AI-based solutions and suggested future research directions. Our search of four online databases fo...
OBJECTIVES: Few machine learning (ML) models are successfully deployed in clinical practice. One of the common pitfalls across the field is inappropriate problem formulation: designing ML to fit the data rather than to address a real-world clinical p...
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