AIMC Topic: Hospitals

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[Artificial intelligence in internal medicine : From the theory to practical application in practices and hospitals].

Innere Medizin (Heidelberg, Germany) Oct 17, 2023
The integration of artificial intelligence (AI) technologies has the potential to improve both the efficiency and the quality of medical care. Applications of AI have already become established in various specialized fields in internal medicine, wher...
Hospitals Internal Medicine Humans Artificial Intelligence Algorithms Health Personnel
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Stochastic scheduling of autonomous mobile robots at hospitals.

PloS one Oct 5, 2023
This paper studies the scheduling of autonomous mobile robots (AMRs) at hospitals where the stochastic travel times and service times of AMRs are affected by the surrounding environment. The routes of AMRs are planned to minimize the daily cost of th...
Travel Hospitals Algorithms Robotics Transportation
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Effectiveness of an artificial intelligence-based training and monitoring system in prevention of nosocomial infections: A pilot study of hospital-based data.

Drug discoveries & therapeutics Sep 7, 2023
This work describes a novel artificial intelligence-based training and monitoring system (AITMS) that was used to control and prevent nosocomial infections (NIs) by improving the skills of donning/removing personal protective equipment (PPE). The AIT...
Artificial Intelligence Hospitals Humans Cross Infection Diazooxonorleucine Pilot Projects
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Surgical scheduling via optimization and machine learning with long-tailed data : Health care management science, in press.

Health care management science Sep 4, 2023
Using data from cardiovascular surgery patients with long and highly variable post-surgical lengths of stay (LOS), we develop a modeling framework to reduce recovery unit congestion. We estimate the LOS and its probability distribution using machine ...
Humans Machine Learning Hospitals Length of Stay Delivery of Health Care Computer Simulation
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Deep Learning-Based Evaluation of Ultrasound Images for Benign Skin Tumors.

Sensors (Basel, Switzerland) Aug 24, 2023
In this study, a combined convolutional neural network for the diagnosis of three benign skin tumors was designed, and its effectiveness was verified through quantitative and statistical analysis. To this end, 698 sonographic images were taken and di...
Skin Neoplasms Hospitals Deep Learning Ultrasonography Humans Judgment
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Breast Cancer Histopathological Images Segmentation Using Deep Learning.

Sensors (Basel, Switzerland) Aug 22, 2023
Hospitals generate a significant amount of medical data every day, which constitute a very rich database for research. Today, this database is still not exploitable because to make its valorization possible, the images require an annotation which rem...
Deep Learning Benchmarking Semantics Neoplasms Databases, Factual Hospitals
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Machine learning-based radiotherapy time prediction and treatment scheduling management.

Journal of applied clinical medical physics Aug 17, 2023
PURPOSE: The utility efficiency of medical devices is important, especially for countries such as China, which have a large population and shortage of medical care resources. Radiotherapy devices are among the most valuable and specialized equipment ...
China Radiation Oncology Machine Learning Hospitals Artificial Intelligence Humans
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Exploring intelligent hospital management mode based on artificial intelligence.

Frontiers in public health Aug 14, 2023
OBJECTIVE: To address the challenges posed by the COVID-19 pandemic, our hospital developed an intelligent hospital management mode specifically tailored to COVID-19 patients.
Quality of Life Humans Hospitals Artificial Intelligence Pandemics COVID-19
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FSTIF-UNet: A Deep Learning-Based Method Towards Automatic Segmentation of Intracranial Aneurysms in Un-Reconstructed 3D-RA.

IEEE journal of biomedical and health informatics Aug 7, 2023
Segmentation of intracranial aneurysms (IAs) is an important step for the diagnosis and treatment of IAs. However, the process by which clinicians manually recognize and localize IAs is overly labor intensive. This study aims to develop a deep-learni...
Radiologists Angiography Deep Learning Image Processing, Computer-Assisted Intracranial Aneurysm Humans Hospitals
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The ethics of advancing artificial intelligence in healthcare: analyzing ethical considerations for Japan's innovative AI hospital system.

Frontiers in public health Jul 17, 2023
Public and private investments into developing digital health technologies-including artificial intelligence (AI)-are intensifying globally. Japan is a key case study given major governmental investments, in part through a Cross-Ministerial Strategic...
Clergy Hospitals Japan Digital Technology Humans Artificial Intelligence
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