AIMC Topic: Data Collection
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Machine Learning-Assisted Sampling of Surfance-Enhanced Raman Scattering (SERS) Substrates Improve Data Collection Efficiency.
Applied spectroscopy
Aug 3, 2021
Surface-enhanced Raman scattering (SERS) is a powerful technique for sensitive label-free analysis of chemical and biological samples. While much recent work has established sophisticated automation routines using machine learning and related artific...
Graph Regularized Flow Attention Network for Video Animal Counting From Drones.
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Jun 3, 2021
In this paper, we propose a large-scale video based animal counting dataset collected by drones (AnimalDrone) for agriculture and wildlife protection. The dataset consists of two subsets, i.e., PartA captured on site by drones and PartB collected fro...
Artificial intelligence in oncology: Path to implementation.
Cancer medicine
May 7, 2021
In recent years, the field of artificial intelligence (AI) in oncology has grown exponentially. AI solutions have been developed to tackle a variety of cancer-related challenges. Medical institutions, hospital systems, and technology companies are de...
Reducing the Risk of Postoperative Complications After Robot-assisted Radical Prostatectomy in Prostate Cancer Patients: Results of an Audit and Feedback Intervention Following the Implementation of Prospective Data Collection.
European urology focus
Apr 18, 2021
BACKGROUND: Prospective data collection for perioperative outcomes might increase awareness of surgical results obtained for patients with prostate cancer (PCa) undergoing robot-assisted radical prostatectomy (RARP). This would prompt the implementat...
A Guide to Annotation of Neurosurgical Intraoperative Video for Machine Learning Analysis and Computer Vision.
World neurosurgery
Mar 17, 2021
OBJECTIVE: Computer vision (CV) is a subset of artificial intelligence that performs computations on image or video data, permitting the quantitative analysis of visual information. Common CV tasks that may be relevant to surgeons include image class...
HOPES: An Integrative Digital Phenotyping Platform for Data Collection, Monitoring, and Machine Learning.
Journal of medical Internet research
Mar 15, 2021
The collection of data from a personal digital device to characterize current health conditions and behaviors that determine how an individual's health will evolve has been called digital phenotyping. In this paper, we describe the development of and...
Accuracy of Algorithms to Identify People with Atopic Dermatitis in Ontario Routinely Collected Health Databases.
The Journal of investigative dermatology
Feb 9, 2021
Exploring convolutional neural networks and spatial video for on-the-ground mapping in informal settlements.
International journal of health geographics
Jan 25, 2021
BACKGROUND: The health burden in developing world informal settlements often coincides with a lack of spatial data that could be used to guide intervention strategies. Spatial video (SV) has proven to be a useful tool to collect environmental and soc...
Extracting Angina Symptoms from Clinical Notes Using Pre-Trained Transformer Architectures.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 25, 2021
Anginal symptoms can connote increased cardiac risk and a need for change in cardiovascular management. In this study, a pre-trained transformer architecture was used to automatically detect and characterize anginal symptoms from within the history o...
Diagnostic Imaging and Mechanical Objectivity in Medicine.
Academic radiology
Jan 20, 2021
BACKGROUND: Before the advent of automatism in image-making practices, scientists, anatomists, and physicians artistically depicted simplified images for scientific atlas making. This technique conferred subjectivity to a supposedly objective scienti...
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