Recent Development in Disease Diagnosis by Information, Communication and Technology

TL;DR

This paper reviews recent advancements in ICT, AI, and machine learning technologies that enhance disease detection, prevention, and healthcare management, emphasizing their role in improving health outcomes and supporting healthcare systems.

Contribution

It provides an extensive review of emerging ICT and AI technologies in healthcare, highlighting their applications in disease diagnosis, prevention, and management.

Findings

AI-based solutions include wearable devices and diagnostics

ICT enhances disease detection and healthcare management

Technological progress enables better healthcare functions

Abstract

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.