Results 201 to 210 of about 80,756 (265)

Real‐Time Multicolor Fluorescence Microscopy via Cross‐Channel Acquisition and Deep‐Learning‐Based Inference

Advanced Intelligent Discovery, EarlyView.
Sequential multicolor fluorescence imaging in dynamic microsystems is constrained by acquisition speed and excitation dose. This study introduces a real‐time framework to reconstruct spectrally separated channels from reduced cross‐channel acquisitions (frames containing mixed spectral contributions).
Juan J. Huaroto, Yuxin Jin, Nicholas Roy, Sarthak Misra   +3 more
wiley   +1 more source

Telestration with augmented reality in minimally invasive and robotic-assisted surgery: a scoping review. [PDF]

Surg Endosc
Cizmic A, Häberle F, Preukschas AA, Hampe L, Bintintan V, Hackert T, Chand M, Nickel F.   +7 more
europepmc   +1 more source

Evolution of Physical Intelligence Across Scales

Advanced Intelligent Discovery, EarlyView.
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu, Tianyun Huang, Aming Li, Pengyu Lv, Tingting Qin, Wenhui Chen, Hui Wei, Huiling Duan   +7 more
wiley   +1 more source

Advancements and outcomes of robotic-assisted surgery in pediatric patients: a multicenter analysis. [PDF]

Front Pediatr
Mattioli G, Rotondi G, Avanzini S, Torre M, Brenco G, Romeo C, Molinaro F, Prestipino M, Cheli M, Lacanna F, Paoli G, Cincotti S, Tombetti C, Razore B, Oddera L, Damasio MB, Wolfler AMGM, Spiga G, Palo F.   +18 more
europepmc   +1 more source

DeepMapper: Attention‐Based AutoEncoder for System Identification in Wound Healing and Stage Prediction

Advanced Intelligent Discovery, EarlyView.
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu, Ksenia Zlobina, Michael Briden, Oscar Avalos, Héctor Carrión, Sebastian Osorio, Hsin‐ya Yang, Alexandra Nava, Michelle D. Bagood, Marco Rolandi, Roslyn Rivkah Isseroff, Marcella Gomez   +11 more
wiley   +1 more source

Robotic-assisted surgery in Egypt: national insights into awareness, knowledge, and perceptions among surgeons and patients. [PDF]

J Robot Surg
Srour MF, Shoaib AH, Alkousheh H, Eladawy KK, Alayat M, Abdelhameed A, Alhaddad O, Elsadik SM, Abdelaty EA, Sloma M, Rady N, Abd-erRazik MA.   +11 more
europepmc   +1 more source

Spatially Informed Feature Selection and Machine Learning in Matrix‐Assisted Laser Desorption/Ionization Imaging for Cohort‐Scale Molecular Tissue Phenomics in Glioblastoma

Advanced Intelligent Discovery, EarlyView.
Matrix‐assisted laser desorption/ionization imaging‐based identification of reliable small molecule markers across heterogeneous glioblastoma cohorts is challenging with intensity‐only methods. We present spatially informed feature selection (SIFS), a spatially informed framework that prioritizes molecules consistently colocalizing with histopathology.
Shad A. Mohammed, Denis Abu Sammour, Dirk C. Hoffmann, Philipp Sievers, Tobias Bausbacher, Melissa Hahn, Yasemin Ucal, Iris Mildenberger, Christiane A. Opitz, Stefan Schmidt, Michael Platten, Oliver Wasenmüller, Wolfgang Wick, Andreas von Deimling, Tobias Kessler, Carsten Hopf   +15 more
wiley   +1 more source

Robotic-Assisted Surgery Adoption: A Mixed-Methods Evaluation of Digital Education Strategies and Surgical Training Needs. [PDF]

Cureus
Ramanath N, H H, Kumar M, Sampath S, Jagadeesan E.   +4 more
europepmc   +1 more source

Clinically Informed Intelligent Classification of Ovarian Cancer Cells by Label‐Free Holographic Imaging Flow Cytometry

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone, Beatrice Cavina, Daniele Gaetano Sirico, Martina Mugnano, Vittorio Bianco, Lisa Miccio, Anna Myriam Perrone, Anna Maria Porcelli, Giuseppe Gasparre, Ivana Kurelac, Pasquale Memmolo, Pietro Ferraro   +11 more
wiley   +1 more source

Correction: Public awareness and perception of robotic-assisted surgery: a cross-sectional analysis of sociodemographic influences. [PDF]

Front Public Health
Irfan Thalib H, Tahir K, Shrouq Amin A, Hussein Alabdrabalrasol Z, Kaleem Ather S, Mahmoud Almurad B, Ahmed Al Nawajha S, Elshora AA, Algethami MR, Shaik NA, Al Bagmi SS.   +10 more
europepmc   +1 more source