Introduction:To ensure the best possible patient outcomes,trauma,and emergency treatment require rapid and accurate evaluations.Since the technology’s introduction,many people have been interested in using artificial...Introduction:To ensure the best possible patient outcomes,trauma,and emergency treatment require rapid and accurate evaluations.Since the technology’s introduction,many people have been interested in using artificial intelligence(AI)to enhance trauma and emergency care procedures.However,substantial medicolegal issues are brought up by the use of AI in this field.This abstract looks at the function of AI in trauma and emergency circumstances and emphasizes the medicolegal significance of the technology.Aim:This study’s objective is to assess the possible advantages of AI in trauma and emergency treatment while also looking at the medicolegal consequences of its application.Methodology:For this investigation,we conducted a comprehensive literature review using the Bullion Words database.The initial search yielded 20,800 results,from which 16,630 papers were selected based on their quality and relevance.After careful analysis,a total of 4170 samples were identified.However,due to download issues,3295 samples had to be excluded.Subsequently,we were left with 875 samples,but after considering the quality and other variables,848 samples were further excluded.Finally,the study concluded with a final sample size of 27.Results:AI improves trauma and emergency care by aiding early injury detection,accurate decision-making,and treatment planning.However,medicolegal concerns must be addressed for responsible AI implementation,including patient privacy,data security,liability,and ethics.Conclusion:AI can revolutionize trauma and emergency care by improving diagnosis,decision-making,and patient outcomes.However,robust legal frameworks and ethical guidelines are needed to address medicolegal concerns and strike a balance between benefits and challenges.Collaboration between health-care professionals,policymakers,and legal experts is crucial for responsible AI implementation in trauma and emergency settings.展开更多
Background:The increasing number of road traffic accidents(RTAs)worldwide is a major concern,posing a significant threat to people’s lives and well-being.Of particular worry is the substantial impact of fatal head in...Background:The increasing number of road traffic accidents(RTAs)worldwide is a major concern,posing a significant threat to people’s lives and well-being.Of particular worry is the substantial impact of fatal head injuries within the overall toll of these accidents.Understanding what contributes to head injuries in RTAs is complex,and specific factors such as the number of vehicles involved,speed,vehicle weight,and impact surface add layers of intricacy that need scrutiny.In simpler terms,we need to look at how these factors come into play.Aims and Objectives:The primary objective is to analyze the distribution of fatal head injury cases in RTAs,investigating how factors such as the number of vehicles,speed,vehicle weight,and impact surface influence the frequency and severity of such injuries.Materials and Methods:The study involves interviews with attendants of 604 RTA cases with head injuries,brought to the mortuary of S.R.N.Hospital at Moti Lal Nehru Medical College in Prayagraj.Ethical clearance and informed consent were secured before collecting preliminary data.Results:Significant findings indicate that fatal head injuries were most prevalent in two-vehicle accidents(53.15%),followed by multi-vehicle collisions(25.33%)and single-vehicle accidents involving pedestrians or objects(21.52%).Notably,the majority of impacts occurred on the front end(43.71%)and on main roads(52.98%),pinpointing specific areas for targeted road safety measures.In the subset of 604 fatal head injury cases from RTAs,comminuted skull fractures constituted 29.30%,while intact cranial fossa involvement was observed in 71.36%.Conclusion:Understanding the correlation between fatal head injuries and variables like the number of vehicles involved is pivotal for evidence-based interventions and policies.Collaboration among policymakers,safety experts,health-care providers,and researchers is imperative for reducing injuries and improving road safety.Identifying injury distribution causes informs traffic safety and medical response enhancements,contributing to a safer,healthier world through evidence-driven strategies.展开更多
文摘Introduction:To ensure the best possible patient outcomes,trauma,and emergency treatment require rapid and accurate evaluations.Since the technology’s introduction,many people have been interested in using artificial intelligence(AI)to enhance trauma and emergency care procedures.However,substantial medicolegal issues are brought up by the use of AI in this field.This abstract looks at the function of AI in trauma and emergency circumstances and emphasizes the medicolegal significance of the technology.Aim:This study’s objective is to assess the possible advantages of AI in trauma and emergency treatment while also looking at the medicolegal consequences of its application.Methodology:For this investigation,we conducted a comprehensive literature review using the Bullion Words database.The initial search yielded 20,800 results,from which 16,630 papers were selected based on their quality and relevance.After careful analysis,a total of 4170 samples were identified.However,due to download issues,3295 samples had to be excluded.Subsequently,we were left with 875 samples,but after considering the quality and other variables,848 samples were further excluded.Finally,the study concluded with a final sample size of 27.Results:AI improves trauma and emergency care by aiding early injury detection,accurate decision-making,and treatment planning.However,medicolegal concerns must be addressed for responsible AI implementation,including patient privacy,data security,liability,and ethics.Conclusion:AI can revolutionize trauma and emergency care by improving diagnosis,decision-making,and patient outcomes.However,robust legal frameworks and ethical guidelines are needed to address medicolegal concerns and strike a balance between benefits and challenges.Collaboration between health-care professionals,policymakers,and legal experts is crucial for responsible AI implementation in trauma and emergency settings.
文摘Background:The increasing number of road traffic accidents(RTAs)worldwide is a major concern,posing a significant threat to people’s lives and well-being.Of particular worry is the substantial impact of fatal head injuries within the overall toll of these accidents.Understanding what contributes to head injuries in RTAs is complex,and specific factors such as the number of vehicles involved,speed,vehicle weight,and impact surface add layers of intricacy that need scrutiny.In simpler terms,we need to look at how these factors come into play.Aims and Objectives:The primary objective is to analyze the distribution of fatal head injury cases in RTAs,investigating how factors such as the number of vehicles,speed,vehicle weight,and impact surface influence the frequency and severity of such injuries.Materials and Methods:The study involves interviews with attendants of 604 RTA cases with head injuries,brought to the mortuary of S.R.N.Hospital at Moti Lal Nehru Medical College in Prayagraj.Ethical clearance and informed consent were secured before collecting preliminary data.Results:Significant findings indicate that fatal head injuries were most prevalent in two-vehicle accidents(53.15%),followed by multi-vehicle collisions(25.33%)and single-vehicle accidents involving pedestrians or objects(21.52%).Notably,the majority of impacts occurred on the front end(43.71%)and on main roads(52.98%),pinpointing specific areas for targeted road safety measures.In the subset of 604 fatal head injury cases from RTAs,comminuted skull fractures constituted 29.30%,while intact cranial fossa involvement was observed in 71.36%.Conclusion:Understanding the correlation between fatal head injuries and variables like the number of vehicles involved is pivotal for evidence-based interventions and policies.Collaboration among policymakers,safety experts,health-care providers,and researchers is imperative for reducing injuries and improving road safety.Identifying injury distribution causes informs traffic safety and medical response enhancements,contributing to a safer,healthier world through evidence-driven strategies.
