AI in Healthcare

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Welcome to the AI in Healthcare Research Group - Exploring the Future of Healthcare with Artificial Intelligence

About Us

The AI in Healthcare Research Group is a vibrant and dynamic community of undergraduate and postgraduate students dedicated to the intersection of artificial intelligence (AI) and biomedical sciences. We are passionate about harnessing the power of AI to revolutionize healthcare, improve patient outcomes, and advance scientific discovery.

Our Mission

Our mission is to cultivate a collaborative environment where students can explore, innovate, and lead groundbreaking research at the intersection of AI and biomedical domains. We aim to:

  • Foster Interdisciplinary Collaboration: Bring together students from diverse backgrounds including (but not limited to) computer science, biomedical engineering, electronics engineering, and medicine to work on cutting-edge research projects.
  • Advance Scientific Knowledge: Contribute to the development of new AI methodologies and their applications in diagnosing, treating, and understanding diseases.
  • Promote Learning and Development: Provide opportunities for students to gain hands-on experience, develop their skills, and engage with experts in the field.

What We Do

  • Research Projects

Engage in pioneering research that leverages cutting-edge AI technologies, including RNNs, CNNs, LSTMs, and Transformer models, to revolutionize the biomedical field. Our projects tackle a variety of critical challenges, such as:

  • Medical Imaging: Revolutionizing diagnostic imaging for better accuracy and efficiency.
  • Medical Chatbots: Creating intelligent chatbots for real-time medical support.
  • Disease Prediction: Enabling early intervention through precise disease prediction models.
  • Drug Discovery: Accelerating the discovery of new drugs with AI-driven insights.
  • Personalized Medicine: Developing bespoke treatment plans tailored to individual patient needs.

Workshops and Seminars

Stay at the forefront of innovation by attending our dynamic workshops, seminars, and guest lectures. Learn from leading experts in AI and biomedical sciences about the latest advancements and emerging trends.

Collaborative Learning

Thrive in a collaborative learning environment where knowledge sharing, idea exchange, and teamwork drive innovation. Work alongside passionate peers to develop groundbreaking solutions to complex problems.

Competitions and Challenges

Showcase your skills and push the boundaries of possibility by participating in prestigious national and international AI and biomedical competitions/hackathons/challenges.

Join Us

Are you passionate about AI and its potential to transform healthcare? Do you want to be at the forefront of scientific innovation? Join our AI in Healthcare Research Group and be part of a community that is shaping the future of medicine.

  • Who Can Join: Our group is open to undergraduate and postgraduate students from all disciplines who have an interest in AI and biomedical sciences and are passionate to learn.
  • How to Join: Contact us at ai@amity.edu or visit our [registration page] to become a member.
  • Get Involved: Whether you’re looking to lead a research project, collaborate with peers, or simply learn more about AI in healthcare, there’s a place for you here.

Ongoing Research projects:

  • AI for Physiological Signal Interpretation: Developing a model to interpret complex physiological signals (e.g., ECG, EEG) for early detection of conditions like epilepsy and arrhythmias.
  • Study of Different Biomarkers for AI-Based Diagnostic/Screening Tools Development: Researching various biomarkers to develop AI tools for improved diagnostic and screening processes.
  • Medical Image Analysis: Implementing AI for classification, detection, and segmentation in medical imaging to diagnose and monitor various diseases effectively.
  • Multi-Modal Study of Data for Optimal Treatment or Medical Test Suggestion Using AI: Combining data from different sources to suggest optimal treatments or necessary medical tests using AI, enhancing decision-making in healthcare.
  • Remote Patient Monitoring and Alert System: AI-driven system to continuously monitor patients remotely using wearable devices and alert healthcare providers of any anomalies.
  • Automated Blood Sample Analysis: Developing an AI model to analyze blood samples automatically, detecting abnormalities such as infections, anemia, and cancers.
  • Personalized Medical Recommendation: Develop a predictive model to recommend personalized treatment plans based on genomic data, electronic health records (EHRs), and treatment outcomes.
  • Predictive Severity Analytics for Patients: Build a predictive model to identify patient’s severity in intensive care units (ICUs) using continuous monitoring data.

Student Coordinator

Parth Thirwani
B.Tech AI 3rd year student Areas of Interest: DNN, LLMs, GenAI

Student Coordinator

Ambica Pradhan
B.Tech AI 3rd year student Areas of Interest: DNN, NLP, GenAI

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