Artificial Intelligence-Driven Diagnostics: Transformative Innovations in Telemedicine for Precision Healthcare

  • Bongs Lainjo Prof., Cybermatrice International Inv. Montreal, QC Canada H4W 1S8
Keywords: AI diagnostics, telemedicine, precision healthcare, innovation, diagnostic accuracy, patient outcomes, healthcare technology

Abstract

With AI's assistance in diagnostics, telemedicine has transformed the concept of diagnosis, creating remarkable opportunities for its advancement in accuracy, speed, and accessibility. This study examines cutting-edge diagnostic technologies that utilize AI to enhance patient outcomes and explores the potential of these advanced technologies to eliminate challenges such as late and incorrect diagnoses and unequal access to diagnostic services. A combination of focus group interviews and questionnaires was employed with key stakeholders, including clinicians and patients, along with a structured review of case studies showcasing AI applications in telehealth. The study demonstrates that diagnostic accuracy and efficiency can be significantly improved across various medical fields, such as cardiology, dermatology, and radiology. The use of AI in diagnosing health issues has been shown to reduce diagnostic errors while facilitating early interventions through machine learning and decision-support systems; late interventions have also been improved in underserved and remote regions. Despite these advancements, challenges persist, including issues related to inadequate infrastructure, algorithm-related problems, and concerns regarding patient privacy and data security. To address these challenges, the study proposes recommendations such as developing culturally sensitive databases, establishing ethical management systems for AI, and fostering public-private collaboration to enhance technological support. These findings illustrate how diagnostic AI in telemedicine can shift healthcare from the current paradigm, where patients’ experiences are often subjective, to the concept of precision healthcare for all.

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Published
2025-04-11
How to Cite
Lainjo, B. (2025). Artificial Intelligence-Driven Diagnostics: Transformative Innovations in Telemedicine for Precision Healthcare. European Journal of Science, Innovation and Technology, 5(2), 18-28. Retrieved from https://ejsit-journal.com/index.php/ejsit/article/view/628
Section
Articles