Results 241 to 250 of about 80,417 (346)

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

Marked reduction in hallucination rates with GPT-5: A positive development for medical and scientific writing. [PDF]

Malays Fam Physician
Polat S, Alyanak B, Dede BT, Temel MH, Yildizgören MT, Bağcier F.   +5 more
europepmc   +1 more source

What Do We Know About the Correlates and Underlying Causes of Auditory Hallucinations in Nonpsychotic Children and Adolescents, and What Are the Implications for Diagnosis and Treatment?

, 2014
Peter Mertin
openalex   +2 more sources

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

Hallucination in artificial-intelligence-assisted diagnosis of arthritis: a case report. [PDF]

Korean J Fam Med
Kim D.
europepmc   +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

Agentic AI and Large Language Models in Radiology: Opportunities and Hallucination Challenges. [PDF]

Bioengineering (Basel)
Salehi S, Singh Y, Horst KK, Hathaway QA, Erickson BJ.   +4 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

Enhancing Large Language Models for Improved Accuracy and Safety in Medical Question Answering: Comparative Study. [PDF]

JMIR Med Educ
Wang D, Ye J, Li J, Liang J, Zhang Q, Hu Q, Pan C, Wang D, Liu Z, Shi W, Guo M, Li F, Du W, Zheng YF.   +13 more
europepmc   +1 more source