1975P Artificial Intelligence-based tool to generate directional integrative treatment reports for cancer patients (ZIOPAR: ZenOnco.io Integrative Oncology Preliminary Assessment Report)

医学 癌症 生活质量(医疗保健) 恶心 焦虑 内科学 医学物理学 肿瘤科 重症监护医学 精神科 护理部
作者
Khushbu Shah,Devendra Parmar
出处
期刊:Annals of Oncology [Elsevier]
卷期号:31: S1108-S1109 被引量:1
标识
DOI:10.1016/j.annonc.2020.08.1367
摘要

Journal of Global Oncology (ASCO) published that the new patients per oncologist ratio ranges from 30 to 15,000 across different countries, with only 24% countries having the ratio below 150. This can result in a low quality of care for many cancer patients. Also, South Asian Journal of Cancer published that 85% cancer patients prefer to know the possible treatment options. ZIOPAR provides Artificial Intelligence-based assessment reports free of cost to cancer patients to guide them on possible treatment options, covering both medical as well as complementary approaches. Our team has developed an Artificial Intelligence-based program based on standard protocols, guidelines and research by ESMO, NCCN, ASCO, SIO, others. Cancer patients are required to provide below six basic inputs that determine the output of the report: ► Cancer type / organ site. ► Cancer stage. ► Prior treatment taken (surgery, chemotherapy, radiation therapy). ► Performance status (based on activities that can be performed). ► Symptoms and side-effects (eg, pain, nausea, anxiety). ► Other medical conditions (eg, thyroid, diabetes, liver cirrhosis) Based on these inputs, a report is generated that outlines medical treatment options, diagnostic tests required, and complementary treatment approaches (including guidelines on nutrition, fitness, stress-management, symptom management). Operationally, ZIOPAR captures patient data through an online form, which is transferred to an application that uses Artificial Intelligence to send optimized reports for each patient individually based on specific inputs shared by the patient. The report is shared through email in pdf form to enhance security. ZIOPAR has already benefitted 21,000+ cancer patients and caregivers across 16 countries through its detailed Artificial Intelligence-based preliminary assessment report. ZIOPAR can help millions of cancer patients by providing them an integrative oncology preliminary assessment report containing crucial information to help them decide their treatment option, covering both medical as well as complementary approaches.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
绝不拖延完成签到,获得积分10
刚刚
1秒前
qpd完成签到,获得积分10
1秒前
xiao发布了新的文献求助10
1秒前
zxyan发布了新的文献求助10
1秒前
烦恼大海完成签到 ,获得积分10
2秒前
Ava应助QSJ采纳,获得10
2秒前
爱学习的小李完成签到,获得积分10
2秒前
2秒前
爱听歌盼海完成签到 ,获得积分10
2秒前
无极微光应助风中怜雪采纳,获得20
3秒前
4秒前
5秒前
pragmatic发布了新的文献求助10
5秒前
5秒前
量子星尘发布了新的文献求助10
6秒前
Stella完成签到,获得积分10
7秒前
红色流星完成签到,获得积分10
7秒前
waoller1发布了新的文献求助10
9秒前
zzsl发布了新的文献求助10
9秒前
9秒前
10秒前
10秒前
pragmatic完成签到,获得积分10
10秒前
九九我应助克偃统统采纳,获得10
10秒前
Orange应助wyz采纳,获得10
11秒前
11秒前
12秒前
木子应助QSJ采纳,获得10
12秒前
nvger发布了新的文献求助10
13秒前
zhz完成签到,获得积分10
14秒前
健忘的灵凡完成签到,获得积分10
14秒前
研友_VZG7GZ应助waoller1采纳,获得10
14秒前
隐形曼青应助waoller1采纳,获得10
14秒前
秘密发布了新的文献求助10
15秒前
15秒前
wy.he应助iamnottingting采纳,获得20
15秒前
15秒前
yyy完成签到,获得积分10
15秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
The Social Work Ethics Casebook: Cases and Commentary (revised 2nd ed.).. Frederic G. Reamer 1070
Introduction to Early Childhood Education 1000
2025-2031年中国兽用抗生素行业发展深度调研与未来趋势报告 1000
List of 1,091 Public Pension Profiles by Region 871
Alloy Phase Diagrams 500
A Guide to Genetic Counseling, 3rd Edition 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5420235
求助须知:如何正确求助?哪些是违规求助? 4535334
关于积分的说明 14149695
捐赠科研通 4452346
什么是DOI,文献DOI怎么找? 2442137
邀请新用户注册赠送积分活动 1433646
关于科研通互助平台的介绍 1410931