Robot | Path | Permission |
GoogleBot | / | ✔ |
BingBot | / | ✔ |
BaiduSpider | / | ✔ |
YandexBot | / | ✔ |
User-Agent: * |
Title | AiCare – Vital Data Collection |
Description | Mobile Home Risk Assessment How it works Artificial Intelligence Request Demo Products AiPortal Rockband Rockbox AiCare Alert App Company News Contact Us Mobile |
Keywords | N/A |
WebSite | aicare.co |
Host IP | 192.169.223.13 |
Location | United States |
Site | Rank |
US$2,520,762
Last updated: 2023-05-01 08:50:59
aicare.co has Semrush global rank of 4,198,851. aicare.co has an estimated worth of US$ 2,520,762, based on its estimated Ads revenue. aicare.co receives approximately 290,858 unique visitors each day. Its web server is located in United States, with IP address 192.169.223.13. According to SiteAdvisor, aicare.co is safe to visit. |
Purchase/Sale Value | US$2,520,762 |
Daily Ads Revenue | US$2,327 |
Monthly Ads Revenue | US$69,806 |
Yearly Ads Revenue | US$837,669 |
Daily Unique Visitors | 19,391 |
Note: All traffic and earnings values are estimates. |
Host | Type | TTL | Data |
aicare.co. | A | 599 | IP: 192.169.223.13 |
aicare.co. | NS | 3600 | NS Record: ns35.domaincontrol.com. |
aicare.co. | NS | 3600 | NS Record: ns36.domaincontrol.com. |
aicare.co. | MX | 600 | MX Record: 0 aicare-co.mail.protection.outlook.com. |
aicare.co. | TXT | 600 | TXT Record: v=spf1 include:spf.protection.outlook.com -all |
aicare.co. | TXT | 600 | TXT Record: NETORGFT2284649.onmicrosoft.com |
Home Risk Assessment How it works Artificial Intelligence Request Demo Products AiPortal Rockband Rockbox AiCare Alert App Company News Contact Us Mobile Technology Our platform consists of a wearable sensor synced to an iPhone/app connected to cloud-based server with machine learning algorithm to analyze and report individual physical activity remotely. Following patient’s discharge to home, AiCare platform is deployed to the patient via wrist sensor and iPhone. Physical activity data and trend are displayed on iPhone app. Family members are notified upon negative change in physical activity. The AI questionnaire decides as to whether or not the patients need follow-up at the clinic/hospital. Advanced Algorithm Our solution predicts the clinical outcome based on the individual physical activity differences during the Active phase (walking, standing, or sitting) vs. Resting phase (lying down. The machine learning algorithm and data analytics of their activities will determine healthy |
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