Varicose Veins as Model for Apportionment among Risk Factors for Compensation Purposes [0.03%]
用于赔偿目的的风险因素分配的静脉曲张研究模型
Marc J Weber,Mark I Taragin
Marc J Weber
Objective.—: To demonstrate a method which is being used to apportion between risk factors for occupationally related disease and compensate individuals with multiple risk factors. The application to individuals will be ...
Cancer of the Larynx-20-Year Comparative Survival and Mortality Analysis by Age, Sex, Race, Stage, Grade, Cohort Entry Time-Period, Disease Duration and ICD-O-3 Topographic Primary Sites-Codes C32.0-9: A Systematic Review of 43,103 Cases for Diagnosis Years 1975-2017: (NCI SEER*Stat 8.3.9) [0.03%]
1975年至2017年43,103例喉癌病例的系统性回顾：按年龄、性别、人种、分期、分级、入组时期、病程和ICDO-3部位编码(C32.0-C32.9)分析诊断年度的生存率及死亡率（NCI SEER*Stat 8.3.9）
Anthony F Milano
Anthony F Milano
Background: .-Laryngeal malignancy, "voice box" cancer, is uncommon with 12,620 estimated new cases and 3770 deaths in the United States in 2021,1 and represents only 6.2% of all respiratory system malignancies. The most ...
Cancer of the Nasal Cavity, Middle Ear and Accessory Sinuses - 15 Year Comparative Survival and Mortality Analysis by Age, Sex, Race, Stage, Grade, Cohort Entry Time-Period, Disease Duration and Topographic Primary Sites: A Systematic Review of 13,404 Cases for Diagnosis Years 2000-2017: (NCI SEER*Stat 8.3.8) [0.03%]
2000年至2017年鼻腔、中耳和副鼻窦癌症的生存率与死亡率分析：基于诊断年度系统回顾13404个病例年龄、性别、种族、分期、分级、队列时间段、病程及原发部位（NCI SEER*Stat 8.3.8）
Anthony F Milano
Anthony F Milano
Background: .-Sinonasal malignancies are rare, aggressive, deadly and challenging tumors to diagnose and treat. Since 2000, age-adjusted incidence rates average less than 1 case per 100,000 per year, male and female combi...
Unlocking Hidden Risks: Harnessing Artificial Intelligence (AI) to Detect Subclinical Conditions from an Electrocardiogram (ECG) [0.03%]
解锁隐藏风险：利用人工智能从心电图中检测亚临床状态
Emoke Posan,Rod Richie
Emoke Posan
Recent artificial intelligence (AI) advancements in cardiovascular medicine offer potential enhancements in diagnosis, prediction, treatment, and outcomes. This article aims to provide a basic understanding of AI enabled ECG technology. Spe...
Through the Looking Glass Darkly: How May AI Models Influence Future Underwriting? [0.03%]
透过黑暗的镜子：人工智能模型如何影响未来的承保？
Rodney C Richie
Rodney C Richie
Applications of Artificial Intelligence (AI) deep-learning models to screening for clinical conditions continue to evolve. Instances provided in this treatise include using a simple one-view PA chest radiograph to screen for Type 2 Diabetes...
Rodney C Richie
Rodney C Richie
Timothy Meagher
Timothy Meagher
As the Covid-19 pandemic continues into its 4th year, reports of long-term morbidity and mortality are now attracting attention. Recent studies suggest that Covid-19 survivors are at increased risk of common illnesses, such as myocardial in...
Identification and Assessment of Undiagnosed Fetal Alcohol Spectrum Disorder: A Report of Three Cases [0.03%]
胎儿酒精谱系障碍的识别和评估：三例报告
Vera F Dolan
Vera F Dolan
Fetal alcohol spectrum disorder (FASD) and its associated physical and mental conditions is the most prevalent congenital impairment causing developmental and intellectual disability worldwide. Like alcohol abuse, FASD is typically undiagno...
Vera F Dolan
Vera F Dolan
Moral hazard is well known to life insurance underwriters and medical directors to increase the risk of adverse consequences to insured individuals. The underwriting investigation of proposed insureds at time of policy issue is done to ensu...
Timothy Meagher
Timothy Meagher
As the Covid-19 pandemic continues into its 4th year, reports of long-term morbidity and mortality are now attracting attention. Recent studies suggest that Covid-19 survivors are at increased risk of common illnesses, such as myocardial in...