Results 221 to 230 of about 1,035,590 (321)

Impact of robotic assistance on the learning curve in endovascular interventions: exploring the role of operator experience with the CorPath GRX system. [PDF]

CVIR Endovasc
Dell T, Voigt MB, Isaak A, Boehner A, Pieper C, Mesropyan N, Kupczyk P, Luetkens J, Kuetting D.   +8 more
europepmc   +1 more source

Commissioning of Halcyon enhanced leaf model in the Eclipse treatment planning system: Focus on simple slit fields and VMAT dose calculation

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose The dual‐layer multileaf collimator (MLC) in Halcyon adds complexities to the dose calculation process owing to the variability of dosimetric characteristics with leaf motion. Recently, an enhanced leaf model (ELM) was developed to refine the MLC model in the Eclipse treatment planning system. This study investigates the performance of
Ryohei Miyasaka, Mari Shirai, Mitsunobu Igari, Yume Kojima, Yuki Kozawa, Toru Kawachi, Ryusuke Hara   +6 more
wiley   +1 more source

Digitalisation of forensic expert activity in Ukraine: Organisational and legal framework. [PDF]

Forensic Sci Int Synerg
Martynenko N.
europepmc   +1 more source

Closing the gap in plan quality: Leveraging deep‐learning dose prediction for adaptive radiotherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Balancing quality and efficiency has been a challenge for online adaptive therapy. Most systems start the online re‐optimization with the original planning goals. While some systems allow planners to modify the planning goals, achieving a high‐quality plan within time constraints remains a common barrier.
Sean J. Domal, Austen Maniscalco, Justin Visak, Michael Dohopolski, Dominic Moon, Vladimir Avkshtol, Dan Nguyen, Steve Jiang, David Sher, Mu‐ Han Lin   +9 more
wiley   +1 more source

Development of an evaluation programme for the intelligent management of mobile infectious disease hospitals in response to public health emergencies: a Delphi study. [PDF]

BMJ Open
He J, Wu S, Ni R, Luo X.
europepmc   +1 more source

Stereotactic radiotherapy for metastatic brain tumors: A comparative analysis of dose distributions among VMAT, Helical TomoTherapy, CyberKnife, Gamma Knife, and ZAP‐X

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract This study evaluates various radiotherapy techniques for treating metastatic brain tumor (BT), focusing on non‐coplanar volumetric modulated arc radiotherapy (NC‐VMAT), coplanar VMAT (C‐VMAT), Helical TomoTherapy (HT), CyberKnife (CK), Gamma Knife (GK), and ZAP‐X.
Toshihiro Suzuki, Masahide Saito, Ryutaro Nomura, Hikaru Nemoto, Naoto Yanagisawa, Ryuma Sawada, Zennosuke Mochizuki, Naoki Sano, Hiroshi Onishi, Hiroshi Takahashi   +9 more
wiley   +1 more source

MMAgentRec, a personalized multi-modal recommendation agent with large language model. [PDF]

Sci Rep
Xiao X.
europepmc   +1 more source

A comparative analysis of deep learning architectures with data augmentation and multichannel input for locoregional breast cancer radiotherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Studies on deep learning dose prediction increasingly focus on 3D models with multiple input channels and data augmentation, which increases the training time and thus also the environmental burden and hampers the ease of re‐training. Here we compare 2D and 3D U‐Net models with clinical accepted plans to evaluate the appropriateness of
Rosalie Klarenberg, Nienke L. M. Bakx, Coen W. Hurkmans   +2 more
wiley   +1 more source

Construction of an evaluation index system for hospital resilience to emerging infectious diseases: a Delphi study from China. [PDF]

BMC Public Health
Cheng K, Xu Z, Zhang Y, Chen R, Gui L.
europepmc   +1 more source