Results 301 to 310 of about 5,919,808 (365)

Guidelines needed for the use of AI in the preparation or review of IRB, IBC, and IACUC applications. [PDF]

Account Res
Hosseini M, Eisenman D, Riddle J, Pyle S, Peters A, Cobb N, Holmes AK.   +6 more
europepmc   +1 more source

ETHICS AND PUBLIC TRUST IN AI GOVERNANCE: A LITERATURE REVIEW

Norainie Ahmad, Muhammad Anshari, Mahani Hamdan, Emil Ali   +3 more
openalex   +2 more sources

In Materia Shaping of Randomness with a Standard Complementary Metal‐Oxide‐Semiconductor Transistor for Task‐Adaptive Entropy Generation

Advanced Functional Materials, EarlyView.
This study establishes a materials‐driven framework for entropy generation within standard CMOS technology. By electrically rebalancing gate‐oxide traps and Si‐channel defects in foundry‐fabricated FDSOI transistors, the work realizes in‐materia control of temporal correlation – achieving task adaptive entropy optimization for reinforcement learning ...
Been Kwak, Ryun‐Han Koo, Youngchan Cho, Changhyeon Han, Dongbin Kim, Soi Jeong, Yunho Shin, Joonhyeok Choi, Jiseong Im, Jonghyun Ko, Jong‐Ho Lee, Jangsaeng Kim, Youngho Kang, Wonjun Shin, Daewoong Kwon   +14 more
wiley   +1 more source

R WE ready for reimbursement? A round up of developments in real-world evidence relating to health technology assessment: part 20

Journal of Comparative Effectiveness Research
Paul Arora, Sreeram V Ramagopalan
doaj   +1 more source

Key Information Influencing Patient Decision-Making About AI in Health Care: Survey Experiment Study.

J Med Internet Res
Zhu X, Stroud AM, Minteer SA, Yoo DW, Ridgeway JL, Mooghali M, Miller JE, Barry BA.   +7 more
europepmc   +1 more source

Patients' views on the use of artificial intelligence in healthcare: Artificial Intelligence Survey Aachen (AISA)-a prospective survey. [PDF]

Insights Imaging
Baldus SG, Wiesmann M, Habel U, Gerhards A, Hasan D, Weyland CS, Truhn D, Hasl MM, Clemens B, Nikoubashman O.   +9 more
europepmc   +1 more source

Novice risk work: How juniors coaching seniors on emerging technologies such as generative AI can lead to learning failures

Katherine C. Kellogg, Hila Lifshitz, Steven Randazzo, Ethan Mollick, Fabrizio Dell’Acqua, Edward McFowland, François Candelon, Karim R. Lakhani   +7 more
openalex   +1 more source

Toward Scalable Solutions for Silver‐Based Gas Diffusion Electrode Fabrication for the Electrochemical Conversion of CO2 – A Perspective

Advanced Functional Materials, EarlyView.
In this study, the preparation techniques for silver‐based gas diffusion electrodes used for the electrochemical reduction of carbon dioxide (eCO2R) are systematically reviewed and compared with respect to their scalability. In addition, physics‐based and data‐driven modeling approaches are discussed, and a perspective is given on how modeling can aid ...
Simon Emken, K. Ashoke Raman, Alexander Bauer, Violeta Karyofylli, Eva Jodat, André Karl, Rüdiger‐A. Eichel   +6 more
wiley   +1 more source

AI Literacy Among Chinese Medical Students: Cross-Sectional Examination of Individual and Environmental Factors.

JMIR Med Educ
Li C, Tsuei SH, Wu H.
europepmc   +1 more source

Bio‐Orthogonally Crosslinked Supramolecular Polymer Bottlebrush Hydrogels for Long‐Term 3D Cell Culture

Advanced Functional Materials, EarlyView.
Fibrous benzenetrispeptide (BTP) hydrogels, fabricated via strain‐promoted azide‐alkyne cycloaddition (SPAAC) crosslinking, form robust, bioinert networks. These hydrogels can support 3D cell culture, where cell viability and colony growth depend on the fiber content.
Ceren C. Pihlamagi, David Pretzel, Peer Nölte, Kourosh Rezaei, Ulrich S. Schubert, Johannes C. Brendel   +5 more
wiley   +1 more source