The development of new remote technologies in disaster medicine education: A scoping review

Advancements in Artificial Intelligence in Emergency Medicine in Taiwan: A Narrative Review

The rapid progression of artificial intelligence (AI) in healthcare has greatly influenced emergency medicine, particularly in Taiwan-a nation celebrated for its technological innovation and advanced public healthcare. This narrative review examines the current status of AI applications in Taiwan's emergency medicine and highlights notable achievements and potential areas for growth. AI has wide capabilities encompass a broad range, including disease prediction, diagnostic imaging interpretation, and workflow enhancement. While the integration of AI presents promising advancements, it is not devoid of challenges. Concerns about the interpretability of AI models, the importance of dataset accuracy, the necessity for external validation, and ethical quandaries emphasize the need for a balanced approach. Regulatory oversight also plays a crucial role in ensuring the safe and effective deployment of AI tools in clinical settings. As its footprint continues to expand in medical education and other areas, addressing these challenges is imperative to harness the full potential of AI for transforming emergency medicine in Taiwan.

Global Emergency Medicine: A Scoping Review of the Literature from 2022

OBJECTIVE

The objective was to identify the highest quality global emergency medicine (GEM) research published in 2022. The top articles are compiled in a comprehensive list of all the year's GEM articles and narrative summaries are performed on those included.

METHODS

A systematic PubMed search was conducted to identify all GEM articles published in 2022 and included a manual supplemental screen of 11 organizational websites for gray literature (GRAY). A team of trained reviewers and editors screened all identified titles and abstracts, based on three case definition categories: disaster and humanitarian response (DHR), emergency care in resource-limited settings (ECRLS), and emergency medicine development (EMD). Articles meeting these definitions were independently scored by two reviewers using rubrics for original research (OR), review (RE) articles, and GRAY. Articles that scored in the top 5% from each category as well as the overall top 5% of articles were included for narrative summary.

RESULTS

The 2022 search identified 58,510 articles in the main review, of which 524 articles screened in for scoring, respectively, 30% and 18% increases from last year. After duplicates were removed, 36 articles were included for narrative summary. The GRAY search identified 7755 articles, of which 33 were scored and one was included for narrative summary. ECRLS remained the largest category (27; 73%), followed by DHR (7; 19%) and EMD (3; 8%). OR articles remained more common than RE articles (64% vs. 36%).

CONCLUSIONS

The waning of the COVID-19 pandemic has not affected the continued growth in GEM literature. Articles related to prehospital care, mental health and resilience among patients and health care workers, streamlining pediatric infectious disease care, and disaster preparedness were featured in this year's review. The continued lack of EMD studies despite the global growth of GEM highlights a need for more scholarly dissemination of best practices.

Potential Use of Artificial Intelligence (AI) in Disaster Risk and Emergency Health Management: A Critical Appraisal on Environmental Health

The risk evaluation of natural disasters is an obstacle to ensuring healthcare services during catastrophic events worldwide. Therefore, timely and appropriate environmental health risk evaluation is essential. In this study, we incorporated the information from databases such as PubMed, Google Scholar, and Scopus. We performed this study to explore the feasibility of using artificial intelligence (AI) in disaster risk and emergency health management. Natural disasters have some phenomenon that is bound to happen. So, we can use AI to inform healthcare authorities about environmental health risks and emergency medical management. The recent innovations in technology have created novel opportunities for improving healthcare services across the world. AI technology would be the backbone of the fourth industrial revolution because we are entering an AI-based world this decade. Therefore, we suggest the authorities consider this positive aspect of AI technology to minimize the disastrous outcomes of any catastrophic events.

Medical education in Latvia: an overview of current practices and systems

Located in northern Europe, Latvia is one of the three Baltic States with a population of 1.9 million. The country has a rich history of medical education spanning a century and is becoming an emerging global hub for medical education. Although the surge in international students has been beneficial for the development of educational and research infrastructure, increasing demands from local students, along with institutional capacity constraints, have overburdened the available resources. Substantial investments are being made to adapt to the rapidly changing geopolitical and techno-biomedical landscape. This perspective paper presents an overview of the country's medical education system, its challenges, and prospects from pre-university to doctoral level.