AIMC Topic: Humans

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Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning.

IEEE transactions on medical imaging
Image registration is a fundamental medical image analysis task, and a wide variety of approaches have been proposed. However, only a few studies have comprehensively compared medical image registration approaches on a wide range of clinically releva...

Deep Learning-Based Image Registration in Dynamic Myocardial Perfusion CT Imaging.

IEEE transactions on medical imaging
Registration of dynamic CT image sequences is a crucial preprocessing step for clinical evaluation of multiple physiological determinants in the heart such as global and regional myocardial perfusion. In this work, we present a deformable deep learni...

Hospital-wide survey of clinical experience with artificial intelligence applied to daily chest radiographs.

PloS one
PURPOSE: To assess experience with and perceptions of clinical application of artificial intelligence (AI) to chest radiographs among doctors in a single hospital.

Development and External Validation of a Machine Learning Model for Prediction of Lymph Node Metastasis in Patients with Prostate Cancer.

European urology oncology
BACKGROUND: Pelvic lymph node dissection (PLND) is the gold standard for diagnosis of lymph node involvement (LNI) in patients with prostate cancer. The Roach formula, Memorial Sloan Kettering Cancer Center (MSKCC) calculator, and Briganti 2012 nomog...

Automatic reorientation by deep learning to generate short-axis SPECT myocardial perfusion images.

Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology
BACKGROUND: Single photon emission computed tomography (SPECT) myocardial perfusion images (MPI) can be displayed both in traditional short-axis (SA) cardiac planes and polar maps for interpretation and quantification. It is essential to reorient the...

Efficacy of Robot-Assisted Training on Rehabilitation of Upper Limb Function in Patients With Stroke: A Systematic Review and Meta-analysis.

Archives of physical medicine and rehabilitation
OBJECTIVE: To systematically evaluate the effect of robot-assisted training (RAT) on upper limb function recovery in patients with stroke, providing the evidence-based medical basis for the clinical application of RAT.

Sex determination using color fundus parameters in older adults of Kumejima population study.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie
PURPOSE: Deep learning artificial intelligence can determine the sex using only fundus photographs. However, the factors used by deep learning to determine the sex are not visible. Therefore, the purpose of the study was to determine whether the sex ...

A venipuncture robot with decoupled position and attitude guided by near-infrared vision and force feedback.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: This study aims to develop a venipuncture robot to replace manual venipuncture to ease the heavy workload, lower the risk of 2019-nCoV infection, and boost venipuncture success rates.

Towards artificial intelligence to multi-omics characterization of tumor heterogeneity in esophageal cancer.

Seminars in cancer biology
Esophageal cancer is a unique and complex heterogeneous malignancy, with substantial tumor heterogeneity: at the cellular levels, tumors are composed of tumor and stromal cellular components; at the genetic levels, they comprise genetically distinct ...