AIMC Topic: Humans

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Applying Artificial Intelligence to Address the Knowledge Gaps in Cancer Care.

The oncologist Nov 16, 2018
BACKGROUND: Rapid advances in science challenge the timely adoption of evidence-based care in community settings. To bridge the gap between what is possible and what is practiced, we researched approaches to developing an artificial intelligence (AI)...
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Humans Artificial Intelligence Electronic Health Records Clinical Trials as Topic Evidence-Based Medicine Feasibility Studies Clinical Decision-Making Patient Selection Medical Oncology Neoplasms Decision Support Systems, Clinical
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Vitamin D in the ICU: More sun for critically ill adult patients?

Nutrition (Burbank, Los Angeles County, Calif.) Nov 16, 2018
Critical illness in patients is characterized by systemic inflammation and oxidative stress. Vitamin D has a myriad of biological functions relevant to this population, including immunomodulation by the alteration of cytokine production and nuclear f...
Vitamin D Deficiency Nutrition Therapy Adult Dietary Supplements Vitamins Hospital Mortality Humans Vitamin D Critical Illness Intensive Care Units
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Deep learning-based preoperative predictive analytics for patient-reported outcomes following lumbar discectomy: feasibility of center-specific modeling.

The spine journal : official journal of the North American Spine Society Nov 16, 2018
BACKGROUND CONTEXT: There is considerable variability in patient-reported outcome measures following surgery for lumbar disc herniation. Individualized prediction tools that are derived from center- or even surgeon-specific data could provide valuabl...
Lumbar Vertebrae Feasibility Studies Patient Reported Outcome Measures Diskectomy Intervertebral Disc Degeneration Intervertebral Disc Displacement Humans Middle Aged Postoperative Complications Deep Learning Female Adult Male
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Deep Sequential Segmentation of Organs in Volumetric Medical Scans.

IEEE transactions on medical imaging Nov 16, 2018
Segmentation in 3-D scans is playing an increasingly important role in current clinical practice supporting diagnosis, tissue quantification, or treatment planning. The current 3-D approaches based on convolutional neural networks usually suffer from...
Humans Algorithms Tomography, X-Ray Computed Spine Deep Learning Imaging, Three-Dimensional Liver
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Application of convolutional neural network in the diagnosis of the invasion depth of gastric cancer based on conventional endoscopy.

Gastrointestinal endoscopy Nov 16, 2018
BACKGROUND AND AIMS: According to guidelines, endoscopic resection should only be performed for patients whose early gastric cancer invasion depth is within the mucosa or submucosa of the stomach regardless of lymph node involvement. The accurate pre...
Gastric Mucosa Endoscopic Mucosal Resection Serous Membrane Diagnosis, Computer-Assisted ROC Curve Image Processing, Computer-Assisted Gastrectomy Gastroscopy Neoplasm Invasiveness Carcinoma Stomach Neoplasms Sensitivity and Specificity Male Neural Networks, Computer Artificial Intelligence Female Humans
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"Deep-Onto" network for surgical workflow and context recognition.

International journal of computer assisted radiology and surgery Nov 16, 2018
PURPOSE: Surgical workflow recognition and context-aware systems could allow better decision making and surgical planning by providing the focused information, which may eventually enhance surgical outcomes. While current developments in computer-ass...
Robotic Surgical Procedures Workflow Kidney Neoplasms Nephrectomy Humans Deep Learning
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Supervised learning for bone shape and cortical thickness estimation from CT images for finite element analysis.

Medical image analysis Nov 16, 2018
Knowledge about the thickness of the cortical bone is of high interest for fracture risk assessment. Most finite element model solutions overlook this information because of the coarse resolution of the CT images. To circumvent this limitation, a thr...
Supervised Machine Learning Femur Finite Element Analysis Algorithms Female Tomography, X-Ray Computed Aged Male Humans
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CATARACTS: Challenge on automatic tool annotation for cataRACT surgery.

Medical image analysis Nov 16, 2018
Surgical tool detection is attracting increasing attention from the medical image analysis community. The goal generally is not to precisely locate tools in images, but rather to indicate which tools are being used by the surgeon at each instant. The...
Cataract Extraction Video Recording Humans Surgical Instruments Algorithms Deep Learning
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Brain dynamics and temporal trajectories during task and naturalistic processing.

NeuroImage Nov 16, 2018
Human functional Magnetic Resonance Imaging (fMRI) data are acquired while participants engage in diverse perceptual, motor, cognitive, and emotional tasks. Although data are acquired temporally, they are most often treated in a quasi-static manner. ...
Humans Time Factors Young Adult Theory of Mind Neural Networks, Computer Male Magnetic Resonance Imaging Connectome Brain Adolescent Memory, Short-Term Interpersonal Relations Female
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Identifying probable post-traumatic stress disorder: applying supervised machine learning to data from a UK military cohort.

Journal of mental health (Abingdon, England) Nov 16, 2018
BACKGROUND: Early identification of probable post-traumatic stress disorder (PTSD) can lead to early intervention and treatment.
Humans Adult Sensitivity and Specificity Stress Disorders, Post-Traumatic Female Supervised Machine Learning Young Adult Military Personnel Male Middle Aged Cohort Studies United Kingdom
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