AI-DxMH - Artificial Intelligence Diagnosis for Modern Health
Year: 2026
Type: article
Abstract: AI-DxMH – Artificial Intelligence Diagnosis for Modern HealthThis research explores the potential of artificial intelligence, machine learning, and natural language processing to improve healthcare accessibility, particularly in underserved communities. It proposes an AI-powered digital healthcare assistant capable of interpreting user-reported symptoms and supporting preliminary assessment of common illnesses.The paper examines natural language understanding, machine-learning-based diagnosis, telemedicine integration, explainable AI, and the use of large language models in healthcare. It also discusses challenges involving data privacy, reliability, scalability, and responsible implementation.Original PublicationKumar, V. G., et al. (2024). AI-DxMH – Artificial Intelligence Diagnosis for Modern Health. International Journal of Creative Research Thoughts, 12(1), b689–b697.ISSN: 2320-2882 Paper ID: IJCRT2401211 Original publication: January 2024Original article: https://ijcrt.org/viewpaperforall.php?paper=IJCRT2401211This Figshare record provides an archived copy of the previously published journal article. It does not represent a new publication.
Source: Figshare
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W7225461416