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Studies in Health Technology and Informatics Ebook Volume 329: MEDINFO 2025 — Healthcare Smart × Medicine Deep
Drones, or unmanned aerial vehicles (UAVs), are transforming humanitarian operations by providing solutions for disaster relief, medical logistics, and aid delivery in challenging envir
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Front. Artif. Intell., 02 July 2025 Sec. Medicine and Public Health
Volume 8 - 2025 | https://doi.org/10.3389/frai.2025.1627773
Nature . 2025 Feb;638(8051):623-635.doi: 10.1038/s41586-024-08564-w. Epub 2025 Feb 19.
Infectious disease threats to individual and public health are numerous, varied and frequently unexpected. Artificial intelligence (AI) and related technologies, which are already supporting human decision making
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Disaster losses are rising, and the stakes are high for reducing risk. Artificial intelligence (AI) promises new ways to spot danger sooner, coordinate relief more quickly, and save lives and property. But AI doesn't just drop neatly into a command center. To matter in practice, it must be shaped to
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Front Public Health . 2025 Jun 23:13:1609615. doi: 10.3389/fpubh.2025.1609615. eCollection 2025.
Key findings reveal the prevalent use of machine learning (ML), deep learning (DL), and natural language processing (NLP), which often integrate diverse data sources (e.g., epidemiological, web, climat
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A new study confirms that Zipline’s autonomous drone logistics system isn’t just saving lives and preventing disease—it's the most cost-effective public health intervention aimed at increasing immunization.
The compendium compiles practical case studies on the use of Geospatial Artificial Intelligence (GeoAI) to enhance disaster risk reduction and emergency response across diverse geographic and institutional contexts.
The compendium features selected case studies submitted by twenty-seven Regional Su
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Flood mapping in urban areas poses significant challenges for Synthetic Aperture Radar (SAR) sensors due to limitations in detecting water in regions characterized by dense vegetation, urban infrastructure, or complex surface conditions. These limitations include reduced sensitivity in vegetated or
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The paper “Artificial Intelligence for Public Health Surveillance in Africa: Applications and Opportunities” examines how artificial intelligence (AI) can improve public health systems across Africa, particularly in low-resource settings. It explores how machine learning and other AI techniques
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Health Informatics Journal 1–38. AI has shown promise in enhancing the speed and accuracy of epidemic detection. However, challenges related to data quality, bias, and model transparency need to be addressed to improve the reliability and generalizability of AI-based EWS. Continuous monitoring and
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Zesty.ai,Preppr.ai and DisasterAWARE
Progress in Disaster Science
Exploring the application of Large Language Models and other AI
techniques to the European Crisis Management Laboratory analyses
ICT Express, vol.9 no. 4. Drones have gained increasing attention in the healthcare industry for mobility and accessibility to remote areas. This perspective-based study proposes a drone-based sample collection system whereby COVID-19 self-testing kits are delivered to and collected from potential p
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The Policy Framework for Artificial Intelligence in Tanzania's Health Sector was developed through collaboration between multiple stakeholders, including government bodies, academic institutions, non-governmental organisations (NGOs) and international partners. The framework demonstrates Tanzania’
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Front. Public Health 10:876949. doi: 10.3389/fpubh.2022.876949.In the present paper, the results of studying ML techniques in a tuberculosis diagnosis loop in a scenario of limited resources are presented. Data are analyzed using a tuberculosis (TB) therapy program at a health institution in a main
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Rwanda’s mountainous topography makes ground transportation of medical supplies unreliable — some roads stretching into rural areas remain uncared for and unpaved. Between 25 and 40 per cent of all temperature-sensitive medical supplies sent from urban centres to rural health clinics are wasted
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Internet of Things, Volume 16, December 2021, 100434. This study investigates the capabilities, performance outcomes, and barriers of drones applied to humanitarian logistics (HL).
Science and Engineering Ethics Sci Eng Ethics . 2021 Aug 3;27(4):51. doi: 10.1007/s11948-021-00327-4
VillageReach recommended
the drone company Swoop Aero to the civil aviation authority in DRC. In
summer 2019, Swoop Aero conducted a series of test and demonstration
drone flights to deliver vaccines, syringes, medicines and other supplies from
Mbandaka town to the village of Widjifake, which is
...
