AIMC Topic: Emergencies

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When used for veterinary triage, artificial intelligence models recognise emergencies but are more likely than veterinary staff to flag non-urgent cases as urgent.

The Veterinary record
BACKGROUND: This study assesses the capability of ChatGPT and nurses in accurately triaging emergency patients compared to veterinarians. METHODS: Retrospective observational study of canine patients that presented at a private veterinary specialist ...

Implementation of a scientific approach to intrapartum care: the Emergency Caesarean Section-Decision Optimising Tool (EC-DOT) to eliminate avoidable harm to mothers and babies.

The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians
Safe intrapartum care requires masterly observation, timely interventions, verbalization and escalation (MOTIVE) to optimize maternal and perinatal outcomes. In clinical situations where continuation of labor is deemed likely to worsen maternal and p...

Evaluation of ChatGPT-5 responses in obstetric and gynecological emergencies: concordance, readability, and clinical reliability.

BMC emergency medicine
BACKGROUND: This study aimed to evaluate the compliance with guidelines, clinical safety, and applicability of ChatGPT-5 responses in obstetric and gynecological emergency scenarios. With the increasing role of AI-powered large language models (LLMs)...

Optimizing emergency shutdown system inspection, testing, and maintenance through the tool design and validation.

Scientific reports
Emergency Shutdown (ESD) systems serve as reliable control mechanisms within the petrochemical industry. These systems enhance safety by automatically shutting down processes during emergencies, mitigating hazards. The effectiveness of ESD systems is...

Proof-of-concept evaluation at Cox's Bazar of the Safe Water Optimization Tool: water quality modelling for safe water supply in humanitarian emergencies.

BMJ global health
INTRODUCTION: Waterborne diseases are leading concerns in emergencies. Humanitarian guidelines stipulate universal water chlorination targets, but these fail to reliably protect water as postdistribution chlorine decay can leave water vulnerable to p...

The Potential and Pitfalls of ChatGPT in Toxicological Emergencies.

The Journal of emergency medicine
BACKGROUND: Poisoning cases involve a wide variety of toxic agents and remain a significant concern for emergency departments. Rapid and accurate intervention is crucial in these cases; however, emergency physicians often face challenges in accessing...

Uncovering nonlinear patterns in time-sensitive prehospital breathing emergencies: an exploratory machine learning study.

BMC medical informatics and decision making
BACKGROUND: Timely prehospital care is crucial for patients presenting with high-risk time-sensitive (HRTS) conditions. However, the interplay between response time and demographic factors in patients with breathing problems remains insufficiently un...

Development of a data-driven urban immunity assessment model: providing a new benchmark for urban governance under public health emergencies.

Frontiers in public health
Public health emergencies (PHEs) pose significant challenges to global urban governance systems, necessitating the establishment of more efficient and dynamically adaptive response mechanisms. Numerous cases indicate that current urban governance sti...

Using the Geriatric Emergency Perioperative Risk Index Derived From Artificial Intelligence Algorithms to Predict Outcomes of Geriatric Emergency General Surgery.

The Journal of surgical research
INTRODUCTION: The objective of this study was to employ artificial intelligence (AI) technology for the development of a model that can accurately forecast the outcome of emergency general surgery (EGS) in elderly patients. Additionally, an innovativ...

Improving the usability of large emergency 911 data reporting systems: A machine learning case study using emergency incident descriptions.

Journal of safety research
INTRODUCTION: Emergency 9-1-1 incident data are recorded voluntarily within fire-department-specific computer-aided dispatch systems. The National Fire Incident Reporting System serves as a repository for these data, but inconsistency and variability...