AI-Powered ICU Assistance. project experience

Personalized Real-time ICU Monitoring and Assistance.

PRIMA Model D3QN

Our model is the most advanced ever made for treatment recommendations.

Blackhole

Real-Time ICU Monitoring Patient

The Real-Time ICU Monitoring Patient system provides continuous tracking of critical patient parameters within the Intensive Care Unit (ICU). This system monitors vital signs such as heart rate, blood pressure, oxygen saturation, respiratory rate, and other essential health indicators.

Features Monitoring Patient
Features Notifications Emergency

Real-Time Patient Emergency Notification

The system monitors patient vital signs in real-time and automatically sends alerts to medical personnel if critical changes are detected, such as a sudden drop in blood pressure or an abnormal heart rate increase. These notifications enable quick responses, improving patient survival chances.

Result Treatments Recommendation

The recommendation is generated based on the analysis of the patient's vital data, including heart rate, blood pressure, oxygen saturation, and other medical parameters. AI processes this data to provide accurate treatment suggestions, such as fluid administration, infusion medications, and antibiotics. This helps medical professionals make faster, well-informed decisions for critical patient care.

Mockup HP

Acknowledgment

This project is partially funded by the Ministry of Education, Culture, Research, and Technology (Kemendikbudristek), Republic of Indonesia, with Grant ID: 105/E5/PG.02.00.PL/2024

Mockup HP

Our Team

Chandra Prasetyo Utomo

Chandra Prasetyo Utomo

Department of Informatics Universitas YARSI

Fani Muh Ardian Saputra

Fani Muh Ardian Saputra

Software Engineer

Razi Rizzardi

Razi Rizzardi

AI Engineer

Kohei Ichikawa

Kohei Ichikawa

Division of Information Science NAIST

Nashuha Insani

Nashuha Insani

Department of Informatics

Kundjanasith Thonglek

Kundjanasith Thonglek

Cybermedia Center Osaka University

Soratouch Pornmaneerattanatri

Soratouch Pornmaneerattanatri

Division of Information Science NAIST

Ummi Azizah Rachmawati

Ummi Azizah Rachmawati

Department of Informatics Universitas YARSI

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