Advancing Healthcare with AI – Lung Nodule Detection & Risk Stratification
Advancing Healthcare with AI – Lung Nodule Detection & Risk Stratification
This event explores the role of Artificial Intelligence (AI) in early lung disease detection and risk assessment. It aims to highlight how AI-driven solutions enhance medical imaging, assist in accurate lung nodule detection, and improve patient outcomes. The session will bring together healthcare professionals, AI researchers, and industry experts to discuss the latest advancements, ethical considerations, and future prospects of AI in healthcare. Through expert talks, panel discussions, and technical demonstrations, attendees will gain valuable insights into AI’s transformative impact on radiology and early lung cancer detection.
Date and Time
Location
Hosts
Registration
- Date: 22 Apr 2025
- Time: 06:00 AM UTC to 08:00 AM UTC
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- Conference room, EED Department
- Taxila, Punjab
- Pakistan
Speakers
Furqan Shoukat of University of Engineering and Technology, Taxila
Advancing Healthcare with AI – Lung Nodule Detection & Risk Stratification
This event explores the role of Artificial Intelligence (AI) in early lung disease detection and risk assessment. It aims to highlight how AI-driven solutions enhance medical imaging, assist in accurate lung nodule detection, and improve patient outcomes. The session will bring together healthcare professionals, AI researchers, and industry experts to discuss the latest advancements, ethical considerations, and future prospects of AI in healthcare. Through expert talks, panel discussions, and technical demonstrations, attendees will gain valuable insights into AI’s transformative impact on radiology and early lung cancer detection.
Agenda
The event will begin with a 'welcome and opening remarks', introducing the objectives and significance of AI in lung nodule detection. This will be followed by a 'keynote speech' from an industry expert, providing insights into the latest advancements in AI-driven risk stratification for lung diseases. A 'technical presentation' will then showcase AI-powered diagnostic tools and their real-world applications in radiology.
Next, a 'panel discussion' will bring together experts to explore the impact of AI in healthcare, addressing key challenges such as data privacy, accuracy, and clinical integration. Attendees will have the opportunity to engage in a 'Q&A session', allowing them to ask questions and gain deeper insights from the speakers. The event will conclude with 'networking and closing remarks', summarizing key takeaways and fostering collaborations among professionals, researchers, and industry stakeholders.
Advancing Healthcare with AI – Lung Nodule Detection & Risk Stratification