Latest AI and machine learning research in stem cell research for healthcare professionals.
The advancement of AI systems for mental health support is hindered by limited access to therapeutic conversation data, particularly for trauma treatment. We present Thousand Voices of Trauma, a synthetic benchmark dataset of 3,000 therapy conversations based on Prolonged Exposure therapy protocols for Post-traumatic Stress Disorder (PTSD). The dataset comprises 500 unique cases, each explored t...
Objective: This review explores the trustworthiness of multimodal artificial intelligence (AI) systems, specifically focusing on vision-language tasks. It addresses critical challenges related to fairness, transparency, and ethical implications in these systems, providing a comparative analysis of key tasks such as Visual Question Answering (VQA), image captioning, and visual dialogue. Backgroun...
Cellular development follows a stochastic yet rule-governed trajectory, though the underlying principles remain elusive. Here, we propose that cellu...
Tracking financial investments in climate adaptation is a complex and expertise-intensive task, particularly for Early Warning Systems (EWS), which ...
Nonlinear dynamics system identification is crucial for circuit emulation. Traditional continuous-time domain modeling approaches have limitations i...
This paper proposes the e-person architecture for constructing a unified and incremental development of AI ethics. The e-person architecture takes t...
The rapid advancement of conversational agents, particularly chatbots powered by Large Language Models (LLMs), poses a significant risk of social en...
Understanding and manipulating bioelectric signaling could present a new wave of progress in developmental biology, regenerative medicine, and synth...
Early brain development is crucial for lifelong neurodevelopmental health. However, current clinical practice offers limited knowledge of normal emb...
Targeted Radionuclide Therapy (TRT) is a modern strategy in radiation oncology that aims to administer a potent radiation dose specifically to cance...
Septic acute respiratory distress syndrome (ARDS) is a complex and noteworthy type, but its molecular mechanism has not been fully elucidated. The aim...
Large language models (LLMs) demonstrate significant potential in advancing medical applications, yet their capabilities in addressing medical ethic...
Context: Dark patterns are user interface or other software designs that deceive or manipulate users to do things they would not otherwise do. Even ...
OBJECTIVES: Integrating artificial intelligence and virtual reality into an art health program, this study aimed to compare the effects of artificial ...
Off-policy evaluation can leverage logged data to estimate the effectiveness of new policies in e-commerce, search engines, media streaming services...
Rehabilitation is essential and critical for post-stroke patients, addressing both physical and cognitive aspects. Stroke predominantly affects olde...
Next-generation mixed-criticality Systems-on-chip (SoCs) for robotics, automotive, and space must execute mixed-criticality AI-enhanced sensor proce...
Histology has long been a foundational technique for studying anatomical structures through tissue slicing. Advances in computational methods now en...
It's hard to imagine human life in the digital and AI age without polynomials because they are everywhere but mostly invisible to ordinary people: i...
Citation metrics are widely used to assess academic impact but suffer from social biases, including institutional prestige and journal visibility. H...