Results 111 to 120 of about 112,844 (305)

The Role of Large Language Models in Improving Diagnostic-Related Groups Assignment and Clinical Decision Support in Healthcare Systems: An Example from Radiology and Nuclear Medicine

Applied Sciences
Large language models (LLMs) rapidly transform healthcare by automating tasks, streamlining administration, and enhancing clinical decision support. This rapid review assesses current and emerging applications of LLMs in diagnostic-related group (DRG ...
Platon S. Papageorgiou, Rafail C. Christodoulou, Rafael Pitsillos, Vasileia Petrou, Georgios Vamvouras, Eirini Vasiliki Kormentza, Panayiotis J. Papagelopoulos, Michalis F. Georgiou   +7 more
doaj   +1 more source

Evolving operational guidance and experiences for radiology and nuclear medicine facilities in response to and beyond the COVID-19 pandemic. [PDF]

Br J Radiol, 2022
O' Doherty J, O' Doherty S, Abreu C, Aguiar A, Reilhac A, Robins E.   +5 more
europepmc   +1 more source

AI‐Designed Cyclic Peptides Enable Controllable Modulation of the CD28 Immune Checkpoint

Advanced Science, EarlyView.
AI‐designed cyclic peptides enable controllable modulation of the CD28 immune checkpoint through reversible disruption of CD28‐CD80/CD86 interactions. The lead peptide, CIP‐3, suppresses T‐cell activation without intrinsic agonist activity, demonstrates dose‐dependent efficacy in a murine colitis model, and attenuates inflammatory cytokine production ...
Katarzyna Kuncewicz, Saurabh Upadhyay, Renjie Zhu, Hongliang Duan, Moustafa T. Gabr   +4 more
wiley   +1 more source

Towards standardization of absolute SPECT/CT quantification: a multi-center and multi-vendor phantom study

EJNMMI Physics, 2019
Absolute quantification of radiotracer distribution using SPECT/CT imaging is of great importance for dosimetry aimed at personalized radionuclide precision treatment. However, its accuracy depends on many factors.
Steffie M. B. Peters, Niels R. van der Werf, Marcel Segbers, Floris H. P. van Velden, Roel Wierts, Koos (J.) A. K. Blokland, Mark W. Konijnenberg, Sergiy V. Lazarenko, Eric P. Visser, Martin Gotthardt   +9 more
doaj   +1 more source

Performance evaluation of a novel brain-dedicated SPECT system

EJNMMI Physics, 2018
Background Single-photon emission computed tomography (SPECT) imaging is an important diagnostic tool for the early detection of the loss of nigrostriatal dopaminergic neurons in Parkinson’s disease (PD) and similar neurodegenerative disorders ...
M. K. Stam, E. E. Verwer, J. Booij, S. M. Adriaanse, C. M. de Bruin, T. C. de Wit   +5 more
doaj   +1 more source

Toward Improved Outcomes for Patients With Lung Cancer Globally: The Essential Role of Radiology and Nuclear Medicine. [PDF]

JCO Glob Oncol, 2022
Mikhail Lette MN, Paez D, Shulman LN, Guckenberger M, Douillard JY, Oyen WJG, Giammarile F, Rangarajan V, Ginsberg M, Pellet O, Liao Z, Abdel Wahab M.   +11 more
europepmc   +1 more source

Circulating Amino Acid Network Remodeling Reveals Systemic Metabolic Reprogramming Predictive of Colorectal Cancer Recurrence and Metastasis

Advanced Science, EarlyView.
Blood‐based amino acid patterns measured by 19F NMR reveal hidden metabolic changes in colorectal cancer. By analyzing how these amino acids interact as a network, machine learning models identify patients at higher risk of recurrence and metastasis.
Ji‐Yeon Lee, Jumi Kim, Taehan Yoon, So Hyun Kwon, Su Chan Park, Dohyun Chun, Dohyeong Kim, Eun Jung Park, Hyunwoo Kim, Ji Min Lee   +9 more
wiley   +1 more source

Prognostic significance of tumor microenvironment assessed by machine learning algorithm in surgically resected non‐small cell lung cancer

Cancer Reports, EarlyView., 2023
Abstract Background A methodology to assess the immune microenvironment (IME) of non‐small cell lung cancer (NSCLC) has not been established, and the prognostic impact of IME factors is not yet clear. Aims This study aimed to assess the IME factors and evaluate their prognostic values. Methods and Results We assessed CD8+ tumor‐infiltrating lymphocyte (
Yukihiro Terada, Mitsuhiro Isaka, Akira Ono, Takuya Kawata, Masakuni Serizawa, Keita Mori, Koji Muramatsu, Kiyoshi Tone, Hirotsugu Kenmotsu, Keiichi Ohshima, Kenichi Urakami, Takeshi Nagashima, Masatoshi Kusuhara, Yasuto Akiyama, Takashi Sugino, Toshiaki Takahashi, Yasuhisa Ohde   +16 more
wiley   +1 more source

Characterization of 11C-GSK1482160 for Targeting the P2X7 Receptor as a Biomarker for Neuroinflammation [PDF]

, 2017
The purinergic receptor subtype 7 (P2X7R) represents a novel molecular target for imaging neuroinflammation via PET. GSK1482160, a potent P2X7R antagonist, has high receptor affinity, high blood–brain barrier penetration, and the ability to be ...
Hutchins, Gary D., Peters, Jonathan S., McCarthy, Brian P., Zheng, Qi-Huang, Riley, Amanda A., Green, Mark A., Gao, Mingzhang, Wang, Min, Territo, Paul R., Meyer, Jill A.   +9 more
core   +1 more source

Clinical evaluation of [123I]FP-CIT SPECT scans on the novel brain-dedicated InSPira HD SPECT system: a head-to-head comparison

EJNMMI Research, 2018
The InSPira HD system, a novel brain-dedicated SPECT scanner, allows for imaging with a high spatial resolution. Here, we tested whether this scanner can be used to image the dopamine transporter adequately.
Sofie M. Adriaanse, Tim C. de Wit, Mette Stam, Eline Verwer, Kora M. de Bruin, Jan Booij   +5 more
doaj   +1 more source