Results 41 to 50 of about 774,383 (293)

Generative Artificial Intelligence

Journal of the American College of Radiology
Christoph I. Lee, Jonathan H. Chen, Marc D. Kohli, Andrew D. Smith, Joshua M. Liao   +4 more
  +12 more sources

Towards Legal Regulations of Generative AI in the Creative Industry

Journal of Digital Technologies and Law, 2023
Objective: this article aims to answer the following questions: 1. Can generative artificial intelligence be a subject of copyright law? 2. What risks the unregulated use of generative artificial intelligence systems can cause? 3.
N. I. Shumakova, J. J. Lloyd, E. V. Titova   +2 more
doaj   +1 more source

The evolving field of digital mental health: current evidence and implementation issues for smartphone apps, generative artificial intelligence, and virtual reality

World Psychiatry
The expanding domain of digital mental health is transitioning beyond traditional telehealth to incorporate smartphone apps, virtual reality, and generative artificial intelligence, including large language models.
J. Torous, Jake Linardon, Simon B. Goldberg, Shufang Sun, Imogen Bell, Jennifer Nicholas, Lamiece Hassan, Yining Hua, Alyssa Milton, Joseph Firth   +9 more
semanticscholar   +1 more source

Collaborating With ChatGPT: Considering the Implications of Generative Artificial Intelligence for Journalism and Media Education

Journalism & Mass Communication Educator, 2023
Generative artificial intelligence (AI) is ushering in an era of potential transformation of journalism and media content. This essay considers one notable generative AI platform called ChatGPT made available to the public in 2022 for free use.
J. Pavlik
semanticscholar   +1 more source

CEACAM1 participation in breast cancer progression

Molecular Oncology, EarlyView.
In invasive breast cancer (BC), CEACAM1 shifts from an apical to a uniform membranous/cytoplasmic pattern, or is lost, as tumors dedifferentiate, inversely tracking the Ki‐67 proliferative index. In MCF‐7 cells, only CEACAM1‐4L suppresses proliferation, repressing cell cycle and growth factor genes.
Mykola Lyndin, Irina Kube‐Golovin, Anatolii Romaniuk, Gunther Wennemuth   +3 more
wiley   +1 more source

Cognitive status of nursing postgraduates toward Generative Artificial Intelligence: a qualitative study based on the UTAUT framework

BMC Nursing
Background Generative Artificial Intelligence (GenAI) has the potential to enhance research efficiency and reduce clinical workload for nursing postgraduates, gradually transforming the development of the healthcare and nursing sectors.
Hongzhan Jiang, Ziyan Wang, Meiqi Meng, Bo Li, Sihan Chen, Dan Yang, Xuejing Li, Yufang Hao   +7 more
doaj   +1 more source

Artificial Intelligence-Generated Content Empowers College Students’ Critical Thinking Skills: What, How, and Why

Education Sciences
Despite the increasing number of studies indicating that generative artificial intelligence is conducive to cultivating college students’ critical thinking skills, research on the impact of college students’ use of generative artificial intelligence on ...
Weiping Zhang, Xinxin Liu
doaj   +1 more source

Automated FRAP microscopy for high‐throughput analysis of protein dynamics in chromatin organization and transcription

FEBS Open Bio, EarlyView.
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz, Bart Geverts, Johan A. Slotman, Andrea Sacchetti, Stefan Prekovic, Martin E. van Royen, Adriaan B. Houtsmuller   +6 more
wiley   +1 more source

Nursing Students’ Perceptions and Use of Generative Artificial Intelligence in Nursing Education

Nursing Reports
Background/Objectives: Artificial intelligence (AI) is transforming nursing, with generative AI (GenAI) tools such as ChatGPT offering opportunities to enhance education through personalized learning pathways. This study aimed to explore nursing students’
ShinHi Han, Hee Sun Kang, Philip Gimber, Sunghyun Lim   +3 more
semanticscholar   +1 more source

A light‐triggered Time‐Resolved X‐ray Solution Scattering (TR‐XSS) workflow with application to protein conformational dynamics

FEBS Open Bio, EarlyView.
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei, Fredrik Orädd, Konstantinos Magkakis, Magnus Andersson   +3 more
wiley   +1 more source