Results 201 to 210 of about 109,451 (303)

Severity matters: Using network analysis to explain low and high levels of persecutory beliefs. [PDF]

Schizophr Res Cogn
Denecke S, Bott A, Strakeljahn F, Kingston J, Lincoln TM.   +4 more
europepmc   +1 more source

Use and Perceptions of Large Language Models Among Dental Students: Implications for Dental Education

Journal of Dental Education, EarlyView.
ABSTRACT Purpose This study aimed to quantify the prevalence and use cases of large language models (LLMs) among dental students, estimate perceived usefulness (learning enhancement; time saved), characterize concerns (accuracy, ethics/integrity, appropriateness), and derive actionable implications for curriculum and clinical training.
Dhruv Khurana, Amani Rashed, Zina Tambil, Anthony Firek, Pranav Parasher, Sonam Khurana   +5 more
wiley   +1 more source

Demyelinating Neurobrucellosis Presenting With Neuropsychiatric Manifestations. [PDF]

Case Rep Med
Varshochi M, Ravanbakhsh Ghavghani F.
europepmc   +1 more source

Medical Literature in the Age of Artificial Intelligence

iNew Medicine, EarlyView.
Hunter Scott
wiley   +1 more source

Deciphering nodal burden in thyroid carcinoma: A dedicated survey of age, lymph node ratio, log odds of positive nodes, and preoperative prediction models

Journal of Intelligent Medicine, EarlyView.
Abstract Evidence regarding the prognosis of thyroid carcinoma is heterogeneous, ranging from age effects and nodal burden metrics, such as lymph node ratio (LNR) and log odds of positive nodes (LODDS), to preoperative imaging models comprising ultrasound, CEUS, and radiomics.
Mennatallah Sherif, Mohanad A. Deif, Eman K. Elsayed   +2 more
wiley   +1 more source

Clinical Feasibility of Deep Learning Contrast Synthesis From MR Fingerprinting in Knee Osteoarthritis

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Magnetic Resonance Fingerprinting (MRF) enables rapid quantitative parameter mapping from which synthetic clinical contrast images can be derived using deep learning (DL). Purpose This study evaluates the reliability and interchangeability of MRF‐derived synthetic knee MRI relative to conventional MRI in patients with osteoarthritis.
Mika T. Nevalainen, Olli Nykänen, Jyri Järvinen, Antti Kemppainen, Lasse Räsänen, Victor Casula, Martijn Cloos, Riccardo Lattanzi, Mikko J. Nissi, Miika T. Nieminen   +9 more
wiley   +1 more source

New and Unimproved: Atheism\u27s Brash but Ineffectual Makeover [PDF]

, 2009
Prior, Karen Swallow
core   +1 more source

Shaping the Future of Radiography Education: Lessons From ChatGPT and Generative AI

Journal of Medical Radiation Sciences, EarlyView.
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, Haydn Kerr, Clare L. Singh, Bismark Ofori‐Manteaw, Elio Arruzza, Kelly Bentley‐Spuur   +5 more
wiley   +1 more source

Small-cell carcinoma of the cervix with acute-onset psychotic symptoms associated with clinically diagnosed ectopic ACTH production: a case report. [PDF]

Front Oncol
Ozaki K, Fujino J, Niimi K, Iwata-Endo K, Otsuka N, Kobayashi T, Yoshida K, Mogi K, Yoshihara M, Nagao Y, Tamauchi S, Yokoi A, Yoshikawa N, Kajiyama H.   +13 more
europepmc   +1 more source

How Can Teams Benefit From AI Team Members? Exploring the Effect of Generative AI on Decision‐Making Processes and Decision Quality in Team–AI Collaboration

Journal of Organizational Behavior, EarlyView.
ABSTRACT Human teams with distributed knowledge can make high‐quality decisions but often fail due to decision‐making asymmetries. As AI team members become integrated collaborators, understanding how AI can reduce these decision‐making asymmetries is essential. However, little is known about how AI team members can reduce these asymmetries and whether
Désirée Zercher, Ekaterina Jussupow, Ivo Benke, Armin Heinzl   +3 more
wiley   +1 more source