Recent Development in Disease Diagnosis by Information, Communication and Technology
Published: February 1, 2020 | DOI: https://doi.org/10.7860/JCDR/2020/43331.13535
Shabana Urooj, Astha Sharma, Chitransh Sinha, Fadwa Alrowais
1. Associate Professor, Department of Electrical Engineering, College of Engineering, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia. (On leave from
Gautam Buddha University, Uttar Pradesh India).
2. Assistant Professor, Department of Electronics and Communication Engineering, IILM-AHL- College of Engineering and Technology, Greater Noida, Uttar Pradesh, India.
3. Software Engineer, Department of Software Development, Kalinga Institute of Information and Technology, Bhubaneshwar, Odisha, India.
4. Assistant Professor, Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi
Arabia.
Correspondence
Shabana Urooj,
Department of Electrical Engineering, School of Engineering, Gautam Buddha University,
Greater Noida-201312, Uttar Pradesh, India.
E-mail: shabanabilal@gmail.com; shabanaurooj@ieee.org
The usage of Information, Communication and Technology (ICT) in health sector has a great potential in improving the health of individuals and communities, disease detection, prevention and overall strengthening the healthcare systems, vital for development and poverty reduction. Large ICT establishments offer a variety of Artificial Intelligence (AI) based solutions; and their tenacities are inclusive of wearable therapeutic devices, healthcare management arrangements, extrapolative healthcare diagnostics, ailment prevention systems, detection and screening of diseases and automated tactics. In the field of healthcare related instrumentation, AI plays a prevalent role with the amalgamation of several technological progressions. This enables machines to sense, comprehend, act and learn to perform organisational and clinical healthcare functions as well as serves the research and training purposes. Additionally, it enables to accomplish the anticipated directorial and medicinal benefits. The major causes of life threats reported in literature are; heart and brain diseases. In this paper, an extensive review is presented exploring the evolving ICT technologies in machine learning and AI to help ICT enthusiasts to be able to catch up with the emerging trends in healthcare.
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