Artificial intelligence in pulmonary medicine: computer vision, predictive model and COVID-19
European Respiratory Review, 2020 Artificial intelligence (AI) is transforming healthcare delivery. The digital revolution in medicine and healthcare information is prompting a staggering growth of data intertwined with elements from many digital sources such as genomics, medical imaging
D. Khemasuwan +2 more
semanticscholar +1 more source
Medical Augmented Reality and Virtual Reality
대한영상의학회지, 2019 Augmented reality (AR) or virtual reality is used in many fields, including medicine, education, manufacturing, and entertainment. With technical advances in optics, computer systems, and surgical instruments, AR applications to medicine are being ...
Jaesung Hong
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Example of Utilizing RobotStudio for Simulating a Solution in the Medical Sector [PDF]
Problemy MechatronikiIn recent years, there has been a growing interest in the use of robots in medicine. The article discusses, in general terms, exemplary robot solutions in the medical sector.
Natalia DANIEL (natalia.daniel@wat.edu.pl) +2 more
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Artificial intelligence in endoscopy: Overview, applications, and future directions
The Saudi Journal of Gastroenterology, 2023 Since the emergence of artificial intelligence (AI) in medicine, endoscopy applications in gastroenterology have been at the forefront of innovations. The ever-increasing number of studies necessitates the need to organize and classify applications in a ...
Arif A Arif +2 more
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Application of micro-computed tomography to microstructure studies of the medicinal fungus Hericium coralloides [PDF]
Mycologia, 2015 The potential of 3-D nondestructive imaging techniques such as micro-computed tomography (micro-CT) was evaluated to study morphological patterns of the potential medicinal fungus Hericium coralloides (Basidiomycota). Micro-CT results were correlated with histological information gained from scanning electron microscopy (SEM) and light microscopy (LM).
Johannes D, Pallua +6 more
openaire +2 more sources
Optimization of Lung CT Image Processing and Recognition Based on E-SRG Segmentation Algorithm [PDF]
BIO Web of Conferences, 2023 Intelligent algorithms such as deep learning and parallel processing technologies such as mobile clouds are constantly evolving, heralding a new era of intelligence.
Ren Hongfei
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A Comprehensive Survey of Foundation Models in Medicine [PDF]
IEEE Reviews in Biomedical EngineeringFoundation models (FMs) are large-scale deep learning models trained on massive datasets, often using self-supervised learning techniques. These models serve as a versatile base for a wide range of downstream tasks, including those in medicine and ...
Wasif Khan +5 more
semanticscholar +1 more source
Generative adversarial network: An overview of theory and applications
Int. J. Inf. Manag. Data Insights, 2021 In recent times, image segmentation has been involving everywhere including disease diagnosis to autonomous vehicle driving. In computer vision, this image segmentation is one of the vital works and it is relatively complicated than other vision ...
Alankrita Aggarwal +2 more
semanticscholar +1 more source
Integration of computer-simulated practical exercises into undergraduate medical pharmacology education at Mulungushi University, Zambia [PDF]
Journal of Educational Evaluation for Health Professions, 2020 Purpose This study was conducted to determine whether a computer simulation of practical exercises in undergraduate medical pharmacology led to the realization of the intended learning outcomes.
Christian Chinyere Ezeala
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Chinese Herbal Medicine Image Recognition and Retrieval by Convolutional Neural Network. [PDF]
PLoS ONE, 2016 Chinese herbal medicine image recognition and retrieval have great potential of practical applications. Several previous studies have focused on the recognition with hand-crafted image features, but there are two limitations in them.
Xin Sun, Huinan Qian
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