Results 221 to 230 of about 123,697 (304)

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

Looking Under the Hood: Using Time-Frequency Analysis to Bridge the Gap Between Event-Related Potential Biomarkers of Psychosis and Underlying Neural Circuitry. [PDF]

Biol Psychiatry Glob Open Sci
Erickson MA.
europepmc   +1 more source

Use of the booklet category test to assess abstract concept formation in schizophrenic disorders [PDF]

, 2012
Boyle, Gregory J., Steindl, Stanley R.
core  

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

Postictal psychosis concealed during long-term video-electroencephalographic monitoring and unmasked after discharge: A case report. [PDF]

PCN Rep
Fujiwara S, Ishida T, Higuchi R, Kocha A, Muraoka Y, Nagashima Y, Kocha H, Nakagawa A, Oguchi Y.   +8 more
europepmc   +1 more source

Assessment of Robustness of MRI Radiomic Features in Four Abdominal Organs: Impact of Deep Learning Reconstruction and Segmentation

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background The impact of deep learning (DL) reconstruction and segmentation on MRI radiomics stability has not been fully assessed. Purpose To investigate the effects of acquisition, reconstruction, and segmentation on the reproducibility and variability of radiomic features in abdominal MRI. Study Type Prospective.
Jingyu Zhong, Yue Xing, Yangfan Hu, Xianwei Liu, Shun Dai, Defang Ding, Junjie Lu, Jiarui Yang, Yue Li, Yang Song, Minda Lu, Dominik Nickel, Wenjie Lu, Huan Zhang, Weiwu Yao   +14 more
wiley   +1 more source

Systematized delusions in a patient with covert hepatic encephalopathy: A clinicopathological insight into prodromal dementia with Lewy bodies. [PDF]

PCN Rep
Fujishiro H, Kawakami I, Oshima K, Torii Y, Arafuka S, Iritani S, Ikeda K.   +6 more
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