Article
Education & Educational Research
Rawad Chaker, Melanie Gallot, Marion Binay, Nady Hoyek
Summary: The study developed an interactive 3D anatomy tool that allowed students to analyze and recreate movements in real-time, enhancing user experience quality. Students primarily appreciated the tool's hedonic qualities in anatomy learning, with significant interactions observed between anatomy scores and motor imagery abilities.
EDUCATIONAL TECHNOLOGY & SOCIETY
(2021)
Article
Computer Science, Information Systems
Jeritt G. Thayer, Daria F. Ferro, Jeffrey M. Miller, Dean Karavite, Robert W. Grundmeier, Levon Utidjian, Joseph J. Zorc
Summary: Developing an interactive information visualization using human-centered design processes and FHIR standards improved clinician efficiency in reviewing patient charts, with reduced task time, screen numbers, and cognitive load. Post-implementation evaluation demonstrated reliable functionality and high user satisfaction.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
(2021)
Article
Education & Educational Research
Tiko Iyamu, Khaya Nunu
Summary: In South Africa, a large amount of healthcare data exists but is scattered and underutilized, impacting service delivery. Misdiagnosis and wrong prescriptions contribute to mortality rate. The study aims to develop a framework to guide data management for improved healthcare services.
EDUCATION AND INFORMATION TECHNOLOGIES
(2021)
Article
Computer Science, Artificial Intelligence
Alexander Bigalke, Lasse Hansen, Jasper Diesel, Carlotta Hennigs, Philipp Rostalski, Mattias P. Heinrich
Summary: This paper proposes a novel domain adaptation method to adapt a model from a labeled source domain to a shifted unlabeled target domain. The method guides the learning process in the target domain based on prior knowledge about human anatomy and incorporates two complementary adaptation strategies. The evaluation shows that the method outperforms various state-of-the-art domain adaptation methods in in-bed pose estimation.
MEDICAL IMAGE ANALYSIS
(2023)
Article
Chemistry, Analytical
Chao-Shu Chang, Tin-Hao Wu, Yu-Chi Wu, Chin-Chuan Han
Summary: This paper presents a healthcare information and medical resource management platform that utilizes wearable devices, physiological sensors, and an indoor positioning system (IPS). The platform collects physiological information through wearable devices and Bluetooth data collectors to provide medical healthcare information management. Real-time monitoring of patients' status is achieved through a Secure MQTT mechanism. The system also utilizes an IPS to send instant alert messages when a patient is out of the safety zone, reducing the burden on caretakers and providing extra protection. Additionally, the platform tracks medical equipment and devices, facilitates coordination among medical staff, and provides timely and transparent medical information during the COVID-19 pandemic.
Article
Engineering, Electrical & Electronic
Andrea Boni, Luca Giuffredi, Giorgio Pietrini, Marco Ronchi, Michele Caselli
Summary: This paper presents a switched-capacitor Sigma-Delta modulator designed in 90-nm CMOS technology, optimized for healthcare and medical diagnostic applications, achieving high performance and low power consumption. The modulator features a design with a low-noise amplifier, modified Miller compensation, and rail-to-rail output stage, resulting in improved performance.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2022)
Article
Engineering, Electrical & Electronic
B. D. Deebak, Fadi Al-Turjman
Summary: Technological development enhances the computational capabilities of smart devices using TMIS in healthcare organizations, improving medical identification and automating remote healthcare monitoring. The CBMH platform offers emergency treatment support and emphasizes security and patient anonymity.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2021)
Article
Engineering, Industrial
Atanu Chaudhuri, Hussein Naseraldin, Gopalakrishnan Narayanamurthy
Summary: Healthcare 3D printing (3DP) is being adopted by hospitals worldwide with the help of service providers. Limited research has been done on these providers and their value proposition, as well as the co-creation process with surgeons and hospitals. This study aims to identify the value creation, capture, and provided by these service providers, as well as the resources and capabilities needed for value co-creation. Interviews with service providers, surgeons, and an expert in 3DP design, along with secondary data, were used to answer the research questions. The results show that service providers and surgeons utilize different capabilities in the co-creation process, and integrated 3DP service providers are better suited to improve hospitals' absorptive capacity than specialized implant developers.
Article
Chemistry, Analytical
Mauren Abreu de Souza, Daoana Carolaine Alka Cordeiro, Jonathan de Oliveira, Mateus Ferro Antunes de Oliveira, Beatriz Leandro Bonafini
Summary: This paper presents the 3D reconstruction and visualization of the neck/bust region and inner anatomical structures using thermal infrared and CT images. By combining the 3D models and segmented anatomical structures, this methodology provides correlated functional and anatomical images, which could enhance biomedical applications and future diagnosis.
Article
Health Care Sciences & Services
Yi Xie, Dongxiao Gu, Xiaoyu Wang, Xuejie Yang, Wang Zhao, Aida K. Khakimova, Hu Liu
Summary: This paper uncovers the research hotspots and development directions of case-based reasoning in healthcare, proposing a framework and key technologies for medical knowledge service systems based on case-based reasoning in the big data environment. The study shows that the system, which provides case-based explanations for predicted results, has good interpretability and better acceptance compared to common intelligent decision support systems, supporting physicians in diagnosis, treatment, and teaching.
Article
Health Care Sciences & Services
Jinxin Yang, Biao Luo, Chen Zhao, Hongliang Zhang
Summary: This study used the Technology-Organization-Environment (TOE) framework and the DEMATEL-ISM-MICMAC construction models to analyze the factors influencing the adoption of AI elderly care service resources by integrated medical and healthcare organizations. The study identified several key factors, such as high risk of data leakage, lack of awareness of the value and benefits of AI healthcare technology, and lack of management leadership support, that are the root causes of adoption. Competitive pressures, lack of patient trust, and lack of excellent partnerships were found to be the most direct factors influencing adoption.
Article
Computer Science, Software Engineering
Rinat Abdrashitov, Seungbae Bang, David Levin, Karan Singh, Alec Jacobson
Summary: The study introduces a new method for modeling musculoskeletal anatomy, utilizing volumetric segmentation and muscle curves control for automatic handling of intersections and calculation of muscle fiber fields. Additionally, an interactive skeleton authoring tool is introduced for creating skeletal anatomy starting from a skin mesh.
ACM TRANSACTIONS ON GRAPHICS
(2021)
Article
Education, Scientific Disciplines
Reuben Schmidt, Richard Gartrell, Justin M. Yeung
Summary: The study describes a pipeline for creating and publishing online schematic 3D anatomical models using free software, with the inguinal canal as an example. Feedback from students utilizing the online platform shows a positive response, with faster comprehension times and improved understanding of complex surgical structures.
JOURNAL OF SURGICAL EDUCATION
(2021)
Article
Engineering, Electrical & Electronic
Xiaonan Wang, Yanan Wu
Summary: The Internet of Medical Things (IoMT) is utilized for healthcare monitoring by sensing and delivering vital signs, requiring rapid medical information retrieval. However, the limited resources of IoMT nodes prevent them from implementing the information-centric model. This paper proposes a fog-assisted information-centric IoMT framework, integrating IoMT with fog clouds to reduce latency and enable the information-centric model with the help of fog nodes. This framework allows consumers to acquire medical information from the nearest provider through reverse-paths and request aggregation, and also addresses consumer mobility to ensure receipt of medical information.
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS
(2023)
Article
Public, Environmental & Occupational Health
Wenying Xiong, Yufan Deng, Yili Yang, Yumeng Zhang, Jay Pan
Summary: This paper evaluated the roles of medical service pricing in China's healthcare system and addressed challenges that emerged as a result of reform-related activities. The study identified multiple constraint factors that may have led to undesired outcomes and provided policy recommendations from a long-term perspective.
FRONTIERS IN PUBLIC HEALTH
(2021)