Results 201 to 210 of about 252,751 (302)
Artificial Intelligence for Informed Consent: Helpful Tool or Premature Proxy for Clinical Communication? [PDF]
Ghatak T.
europepmc +1 more source
ABSTRACT This article identifies assistive technologies (ATs) as ‘pre‐technologies’ mediating access to other technologies for disabled subjects (DSs). The motivation is to show that without ATs, DSs cannot be said to have the same level of access to freedom and self‐forming activities as able‐bodied subjects.
Sarel Marais
wiley +1 more source
Improving Equitable Access to Antenatal Care in China: Challenges and Potential Innovative Approaches. [PDF]
Dai Y +7 more
europepmc +1 more source
Shaping the Future of Radiography Education: Lessons From ChatGPT and Generative AI
ChatGPT can provide structured guidance, support self‐assessment and scaffold learning processes that bridge classroom knowledge and clinical expectations. However, AI must be embedded in ways that uphold the core principles of radiographic practice: accuracy, reflective judgment, ethical reasoning, empathy and patient‐centred care.
Minh T. Chau +5 more
wiley +1 more source
Patrilineages of ethnolinguistically diverse populations reveal multifactorial influences on Chinese paternal population stratification. [PDF]
Yang T +11 more
europepmc +1 more source
Molecular theranostics: principles, challenges and controversies
Molecular theranostics offers a powerful tool to drive precision medicine in nuclear oncology. While theranostics is not a new principle in nuclear medicine, recent advances in instrumentation and radiopharmacy have driven a reinvigoration and a broader suite of applications.
Geoffrey Currie
wiley +1 more source
Reflections on the role of AI in Alzheimer's disease research: Addressing inclusivity, causality, and ethical considerations. [PDF]
Chen M, Han Y.
europepmc +1 more source
Evolutionary transitions and co-evolutionary dynamics in biology and in culture. [PDF]
Tamariz, Monica
core
Abstract Background To identify novel periodontal phenotypes using unsupervised machine learning on a large‐scale, multicenter cohort, specifically characterizing disease patterns based on the “periodontal architecture” of localized structural failures (tooth mobility and molar furcation defects) rather than global severity averages alone. Methods This
Georgios S. Chatzopoulos, Larry F. Wolff
wiley +1 more source

