AI and Medical Applications

In an age characterized by the rapid advancement of artificial intelligence (AI), the fusion of AI technology with medical applications has ushered in a new era of possibilities. This sub-theme in the Centre of Intelligence of Things “AI and Medical Applications,” represents a dynamic exploration of the profound impact AI can have on the realms of healthcare, medical research, engineering, and sustainability. At the heart of our mission lies the aspiration to transform healthcare through innovative computing applications, forging a path towards a future where medical health is optimized, medical research is accelerated, engineering is harnessed for health, and sustainability becomes an integral part of healthcare practices.

Aims

  • Advancing Computing Applications to Health: Foster innovation in AI-driven computing applications that enhance healthcare delivery, medical research, and patient outcomes.

  • Enhancing Medical Health with AI: Leverage AI technologies to improve diagnostic accuracy, personalized treatment plans, and healthcare system efficiency, ultimately leading to better medical health.

  • Integrating AI into Engineering for Health:¬†Explore how AI can optimize engineering processes and materials for the development of sustainable, medical-grade technologies and infrastructure.

  • Promoting Sustainability in Medical Practices: Encourage the development of AI-driven sustainability solutions for healthcare facilities, medical waste management, and pharmaceutical research.

In this pursuit, we delve into the multifaceted objectives, goals, and targets that define our vision. We investigate how AI can empower precision diagnosis and treatment, elevate patient-centered care, revolutionize the design of sustainable medical devices, and promote eco-friendly practices in healthcare facilities. Our journey takes us into the realms of early disease detection, patient engagement, sustainable medical technologies, green healthcare infrastructure, and responsible medical waste management. These objectives collectively reflect our commitment to leveraging AI as a force for positive change in the medical field. As we navigate this intricate terrain, we invite you to embark on a journey of discovery with us. Together, we will explore how the synergy between AI and medical applications has the potential to redefine healthcare, engineering, and sustainability, paving the way for a healthier, more sustainable future. Join us as we unravel the boundless possibilities that lie at the intersection of AI and medical innovation.

Goals

Precision Diagnosis and Treatment

Develop AI-based medical diagnostic tools capable of achieving [specific percentage] higher accuracy than traditional methods, leading to more precise treatment plans.

Patient-Centered Healthcare

Implement AI systems that provide personalized medical recommendations and treatment plans of patients, improving overall healthcare outcomes.

Sustainable Medical Devices

Integrate AI into the design and manufacturing of medical devices to reduce resource consumption and improve the longevity of healthcare equipment, with a goal of specific percentage reduction in waste.

Green Healthcare Facilities

Establish AI-driven energy management systems in [specific number] healthcare facilities, aiming for a [specific percentage] reduction in energy consumption by 2030.

Medical Waste Reduction

Utilize AI to optimize medical waste disposal, targeting a [specific percentage] reduction in hazardous waste generation and improved recycling practices in healthcare settings.

Targets

Early Disease Detection

Achieve [specific percentage] earlier detection of critical diseases through AI-driven medical imaging and diagnostic tools by 2030, resulting in improved patient survival rates.

Patient Engagement:

Implement AI-powered patient engagement platforms for [specific number] healthcare institutions, resulting in [specific percentage] increased patient involvement in their own health management.

Eco-Friendly Medical Devices

Ensure that [specific percentage] of new medical devices introduced to the market meet sustainability criteria, promoting the adoption of environmentally friendly healthcare technologies.

Net-Zero Healthcare Facilities

Transition [specific number] healthcare facilities to achieve carbon neutrality by [2030], utilizing AI-based energy efficiency measures and renewable energy sources.

Medical Waste Reduction Success

Reduce medical waste generation in Greater Manchester region of United Kingdom through AI-optimized waste management practices, promoting sustainability in healthcare.

Pharmaceutical Sustainability

Implement AI-driven sustainability practices in [specific number] pharmaceutical companies, aiming for a [specific percentage] reduction in environmental impact from drug production.

Target Income and Funding Venues

Team

Dr Naveed Islam
Team Leader

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Abayomi Arowosegbe
Team Member

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Aamir Abbas
Team Member

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Helen Martin
Team Member

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Dr Harinda Eugen
Team Member

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Dr Celestine Iwendi
Team Member

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Dr Pradeep Hewage.
Team Member

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