A5070252443- Artificial Intelligence in Healthcare and Education
- COVID-19 diagnosis using AI
- Artificial Intelligence in Healthcare
- Ethics in Clinical Research
- Data-Driven Disease Surveillance
- Biomedical and Engineering Education
- Autopsy Techniques and Outcomes
- Mobile Health and mHealth Applications
- Smoking Behavior and Cessation
- Food Waste Reduction and Sustainability
- Data Quality and Management
- Genetics, Bioinformatics, and Biomedical Research
- Public Health and Nutrition
- Telemedicine and Telehealth Implementation
- Retinal Imaging and Analysis
- Microplastics and Plastic Pollution
- Air Quality and Health Impacts
- Technology Use by Older Adults
- Machine Learning in Healthcare
- Global Public Health Policies and Epidemiology
- Obesity, Physical Activity, Diet
- Survey Methodology and Nonresponse
- Anomaly Detection Techniques and Applications
- Nutritional Studies and Diet
- Big Data and Business Intelligence
World Health Organization
2013-2024
World Health Organization - Pakistan
2012-2022
In 2008, the Centers for Disease Control and Prevention (CDC) World Health Organization developed Global Adult Tobacco Survey (GATS), an instrument to monitor global tobacco use measure indicators of control. GATS, a nationally representative household survey persons aged 15 years or older, was conducted first time during 2008-2010 in 14 low- middle-income countries. each country, GATS used standard core questionnaire, sample design, procedures data collection management and, as needed,...
The health consequences of tobacco use are well known, but less recognized the significant environmental impacts production and use. include growing curing; product manufacturing distribution; consumption; post-consumption waste. World Health Organization's Framework Convention on Tobacco Control addresses concerns in Articles 17 18, which primarily apply to agriculture. Article 5.3 calls for protection from policy interference by industry regarding harms We detail life-cycle suggest...
Introduction In 2015, as part of the WHO and International Telecommunication Union’s ‘Be Healthy Be Mobile’ initiative using mobile technology to combat non-communicable diseases, Ministry Health Family Welfare Communication Information Technology in India developed a short text message-based health programme (the ‘mCessation’ programme) support tobacco users quit use. Objectives To evaluate effectiveness mCessation by estimating rates attempts among registered subscribers understand...
The growth and adoption of artificial intelligence tools systems has the potential to transform health wellness, even as this expansion raises challenging ethical issues, including data privacy protection, appropriate uses users, human rights concerns, inequitable access.The WHO in 2020 committed an 18-month process guideline development, leading 2021 publication WHO's Guidance on Ethics Governance Artificial Intelligence for Health.The document identifies salient principles, assesses a...
Without careful dissection of the ways in which biases can be encoded into artificial intelligence (AI) health technologies, there is a risk perpetuating existing inequalities at scale. One major source bias data that underpins such technologies. The STANDING Together recommendations aim to encourage transparency regarding limitations datasets and proactive evaluation their effect across population groups. Draft recommendation items were informed by systematic review stakeholder survey....
Portable handheld computers and electronic data management systems have been used for national surveys in many high-income countries, however their use developing countries has challenging due to varying geographical, economic, climatic, political cultural environments. In order monitor measure global adult tobacco use, the World Health Organization US Centers Disease Control Prevention initiated Global Adult Tobacco Survey, a nationally representative household survey of adults, 15 years...
Artificial Intelligence (AI) has significantly transformed healthcare. The Global Technical Meeting on AI for Health and Advancing Traditional Medicine (TM) hosted by the World Organization, International Telecommunication, Intellectual Property (IP) was held at All India Institute of Ayurveda (AIIA), New Delhi. event addressed AI’s potential in enhancing diagnostics, research, knowledge preservation within TM, with specific attention to regulatory ethical considerations. Objectives included...
A country's digital health maturity is a key factor in the transformation of national system. Although many assessment models exist literature, they perform as stand-alone tools without clear indication to inform strategy implementation health. This study explores dynamics between assessments and First, it analyses word token distribution concepts indicators from five pre-existing those originated WHO's Global Strategy on Digital Health. Second, compares type distributions selected topics...
While the COVID-19 vaccines are rolling out globally, battle against has reached a breaking point, where 'decisions made by leaders and citizens will determine when acute phase of pandemic end' [1].Artificial intelligence (AI) can assist in transforming conventional decision-making model science-based ethical distribution vaccine.To ensure timely administration vaccine, many countries local authorities have prepared their vaccine plan, with prioritized groups implementation phases identified...
Significant opportunities for global health intelligence arise from the combined and optimized usage of secondary data indicating status. Meant purposes other than those intended by reuse, these are gathered novel sources such as mobile apps, wearable devices, world wide web, electronic records, or genome sequencing. In order to utilize full potential data, we offer guidance outlining available types existing approaches processing. Furthermore, propose indicators regulatory, qualitative,...