Development of an AI-Driven Robotic Arm System for Real-Time Surgical Operations and Remote Emergency Care

The latest advancements in the field of the Internet of Things (IoT) pertaining particularly to the domain of robotics and emergency healthcare services have seen a significant upscaling after the integration of AI in the field of robotic healthcare. This innovative approach is yet adopted only by renowned healthcare institutions, whose main focus is towards research and development rather than scalability. This paper presents an innovative solution that will lead to a more economical solution for this technological advancement. Our main goal is to develop a system that can identify the severity of any injury through the use of ML models and OpenCV and can perform real-time small surgical operations as well through the use of an advanced IoT system [2]. This system is highly beneficial for people residing in remote areas or mountainous regions, where access to healthcare is minimal. This research also explores the underlying potential of India in the field of automated healthcare which could address the challenges faced by rural and remote populations. This paper also highlights the fact that the major complication that India faces is due to its infrastructural limitations and the lack of healthcare resources. This study contributes significantly in bridging the gap between advanced robotic surgical solutions and their application with a more substantial and practical outlook. [1]

Authors

Institutions

Publication Details

Published
2025-04-04
DOI
https://doi.org/10.1109/iccsai64074.2025.11064702
Primary Topic
Soft Robotics and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development of an AI-Driven Robotic Arm System for Real-Time Surgical Operations and Remote Emergency Care

Vanshaj Tiwari, Abhishek Dixit, Shrey Pandey, Dhairya Sarswat et al.
1 links
Soft Robotics and Applications
article

Development of an AI-Driven Robotic Arm System for Real-Time Surgical Operations and Remote Emergency Care

Vanshaj Tiwari, Abhishek Dixit, Shrey Pandey, Dhairya Sarswat, Shashwat Shinghal
article en

Abstract

The latest advancements in the field of the Internet of Things (IoT) pertaining particularly to the domain of robotics and emergency healthcare services have seen a significant upscaling after the integration of AI in the field of robotic healthcare. This innovative approach is yet adopted only by renowned healthcare institutions, whose main focus is towards research and development rather than scalability. This paper presents an innovative solution that will lead to a more economical solution for this technological advancement. Our main goal is to develop a system that can identify the severity of any injury through the use of ML models and OpenCV and can perform real-time small surgical operations as well through the use of an advanced IoT system [2]. This system is highly beneficial for people residing in remote areas or mountainous regions, where access to healthcare is minimal. This research also explores the underlying potential of India in the field of automated healthcare which could address the challenges faced by rural and remote populations. This paper also highlights the fact that the major complication that India faces is due to its infrastructural limitations and the lack of healthcare resources. This study contributes significantly in bridging the gap between advanced robotic surgical solutions and their application with a more substantial and practical outlook. [1]

IFTM University (IN), Bansal Institute Of Research Technology & Science (IN), International College of Nutrition (IN)
Openalex Percentile: Top 84%
Soft Robotics and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.