4 results found

Anja Viehmann, Natalia Wege, Verena Leve, Frank Jacobi, Martina Hahn, Walter Hewer, Julia K. Wolff, Frank Schneider, Catharina Scholl, Stefan Wilm, Andrea Icks

Background: Individuals with severe mental illness (SMI) have an increased risk for physical comorbidities, such as diabetes and cardiovascular disease, leading to reduced life expectancy. The oversha...

Research Square 2026-04-23 rs-9488151
PSY-KOMO study protocol intervention study severe mental illness physical comorbidity quality of treatment patient navigator

Lilach Alon¹, Inbar Levkovich¹

This study examines AI information literacy among healthcare professionals and identify differences across professional roles. An online survey was administered to 390 healthcare professionals includi...

BMC Medical Education 2026-04-23 rs-9101750
generative artificial intelligence AI information literacy healthcare professionals ethics technology adoption

Nadi Maroua

As mental health disorders continue to rise globally and access to specialised care remains a persistent challenge, AI-powered conversational agents have emerged as a credible avenue for early screeni...

Research Square 2026-04-22 rs-9482601
Artificial Intelligence mental health early detection mental disorders Systematic Review Machine Learning conversational agent ethics NLP

Vajo Sekulic, Verena Sekulic, Zheying Zhang, Tomas Herda

Contemporary agile development processes optimize for velocity and functional completeness, yet systematically disregard ethical considerations. This dilemma exposes a significant ethics gap, as organ...

Research Square 2026-04-22 rs-9284537
Requirements Engineering User Story Value-Based En- gineering Agile Development Artificial Intelligence AI Ethics
Back to Top
Home
Browse
Submit
About
0.048266s