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Advanced Digital Health Technologies for COVID-19 and Future Emergencies

Benjamin K. Scott, Geoffrey T Miller, Stephanie Jo Fonda, Ronald E. Yeaw et al. • Telemedicine Journal and e-Health (2020)

Background: Coronavirus disease 2019 (COVID-19) has led to a national health care emergency in the United States and exposed resource shortages, particularly of health care providers trained to provide critical or intensive care. This artic...

OPENALEX DOI: https://doi.org/10.1089/tmj.2020.0140

Neuropsychological Health Technologies

Svitlana Hryshchenko, Nataliia А. Beseda, Volodymyr Slobodianyk, Мирослава Миронівна Кулеша-Любінець et al. • BRAIN BROAD RESEARCH IN ARTIFICIAL INTELLIGENCE AND NEUROSCIENCE (2022)

The article reveals the problem of neuropsychological technologies for maintaining, strengthening and developing human health from early to adulthood as a set of corrective and developmental measures to ensure the relationship of an optimal...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.18662/brain/13.3/360

The Emergence of AI-Based Wearable Sensors for Digital Health Technology: A Review

Shaghayegh Shajari, Kirankumar Kuruvinashetti, Amin Komeili, Uttandaraman Sundararaj • Sensors (2023)

Disease diagnosis and monitoring using conventional healthcare services is typically expensive and has limited accuracy. Wearable health technology based on flexible electronics has gained tremendous attention in recent years for monitoring...

OPENALEX cc-by DOI: https://doi.org/10.3390/s23239498 PMC: 10708748

Medicine and health technology in 2018

Ryan L. Kerstein • Bulletin of The Royal College of Surgeons of England (2018)

2018 was a pretty big year for medicine and health technology. A new Health Secretary took over the political reins and reshaped the agenda ‘to revolutionise the NHS with new technology’. The RCS established the Commission on the Future of ...

OPENALEX cc-by DOI: https://doi.org/10.1308/rcsbull.2019.28

The Role of Health Technology and Informatics in a Global Public Health Emergency: Practices and Implications From the COVID-19 Pandemic

Jiancheng Ye • JMIR Medical Informatics (2020)

At present, the coronavirus disease (COVID-19) is spreading around the world. It is a critical and important task to take thorough efforts to prevent and control the pandemic. Compared with severe acute respiratory syndrome and Middle East ...

OPENALEX cc-by DOI: https://doi.org/10.2196/19866 PMC: 7388036

health technology and sustainbility In Health

JOBE EBRIMA, Žiūkienė Gerda Bukauskaitė • Zenodo (CERN European Organization for Nuclear Research) (2026)

In recent years, the health care sector has experienced rapid advancement of technology. This advancement has allowed the healthcare sector to operate more efficiently. Advanced medical tools, such as telemedicine, are being used to improve...

OPENALEX cc-by DOI: https://doi.org/10.5281/zenodo.20022312

Evolutionary Algorithms in Health Technologies

Sai Ho Ling, Hak‐Keung Lam • Algorithms (2019)

Health technology research brings together complementary interdisciplinary research skills in the development of innovative health technology applications. Recent research indicates that artificial intelligence can help achieve outstanding ...

OPENALEX cc-by DOI: https://doi.org/10.3390/a12100202

Medical, dental, and nursing students’ attitudes and knowledge towards artificial intelligence: a systematic review and meta-analysis

Hamidreza Amiri, Samira Peiravi, Seyedeh sara rezazadeh shojaee, Motahareh Rouhparvarzamin et al. • BMC Medical Education (2024)

Abstract Background Nowadays, Artificial intelligence (AI) is one of the most popular topics that can be integrated into healthcare activities. Currently, AI is used in specialized fields such as radiology, pathology, and ophthalmology. Des...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12909-024-05406-1

Ontology Technology in Medical Informatics

Hong Gee Kim, Myeng Ki Kim • Journal of Korean Society of Medical Informatics (2003)

The main purpose of this paper is to overview the current issues in the area of medical ontology. Ontology technology in Medical Informatics is evolved from the three different research areas: namely, web application for the Semantic Web, K...

OPENALEX DOI: https://doi.org/10.4258/jksmi.2003.9.3.213

Workshop on medical informatics and engineering

• Proceedings of the International Multiconference on Computer Science and Information Technology (2009)

MI&E 2009 will bring researchers, developers, practitoners, and users to present their latest research, results, and ideas in all areas of medical informatics, engineering and artificial intelligence in medicine and health care....

OPENALEX DOI: https://doi.org/10.1109/imcsit.2009.5352695

Deep learning-based multimodal data fusion in bone tumor management: Advances in clinical decision support

Tongtong Huo, Wei Wu, Xiaoliang Chen, Mingdi Xue et al. • Intelligent Oncology (2025)

Bone tumors (BTs)—including osteosarcoma, Ewing sarcoma, and chondrosarcoma—are rare but biologically complex malignancies characterized by pronounced heterogeneity in anatomical location, histological subtype, and molecular alterations. Re...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.intonc.2025.06.005

Real-World Evaluation of AI-Driven Diabetic Retinopathy Screening in Public Health Settings: Validation and Implementation Study

Mona Duggal, Anshul Chauhan, Vishali Gupta, Ankita Kankaria et al. • JMIR Medical Informatics (2025)

Abstract BackgroundArtificial intelligence (AI) algorithms offer an effective solution to alleviate the burden of diabetic retinopathy (DR) screening in public health settings. However, there are challenges in translating diagno...

DOAJ Open Access (DOAJ) DOI: 10.2196/67529

Behavioral dataset for Long-Evans and its schizophrenia-like substrain through several generations

Gábor Kőrösi, Oliver Czimbalmos, Gabriella Kekesi, Gyongyi Horvath • Scientific Data (2026)

Abstract We present a high-throughput behavioral dataset acquired with Ambitus, an automated reward-based corridor system that records locomotor and exploratory activities and cognitive functions after minimal handling. The collection conta...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41597-026-06735-0

Artificial intelligence–aided diagnosis model for acute respiratory distress syndrome combining clinical data and chest radiographs

Kai-Chih Pai, Wen-Cheng Chao, Yu-Len Huang, Ruey-Kai Sheu et al. • Digital Health (2022)

Objective The aim of this study was to develop an artificial intelligence–based model to detect the presence of acute respiratory distress syndrome (ARDS) using clinical data and chest X-ray (CXR) data. Method The transfer learning method w...

DOAJ Open Access (DOAJ) DOI: 10.1177/20552076221120317

Identifying Applied Aspects, Medical Fields, and Technological Trends in Developing Future Entrepreneurial Opportunities in Telemedicine

Ali Mobini-Dehkordi, Jahangir Yadolai-Farsi, Abolghasem Arabiun, Mustafa Keshavarz-Turk • مدیریت اطلاعات سلامت (2021)

Introduction: Parallel with the growth of technologies, which affect the telemedicine, timely identification of telemedicine entrepreneurial opportunities seems to be necessary for the product development. This study aimed to identify appli...

DOAJ Open Access (DOAJ) DOI: 10.22122/him.v17i6.4230