AI-Enhanced Telemedicine Revolutionizing Access to Healthcare in Remote Areas

Abstract

The employment of AI in the identification of fraud in the healthcare sector is a 
major improvement in fighting the rising menace of fraud in the healthcare 
sector. Modern artificial intelligence technologies such as machine learning, 
natural language processing, deep learning to help economically both protect.health care resources from frauds and help patients get what they are entitled to deserve. Using claims history, imaging data, and patient files, AI learns 
patterns and deviations from the norm that otherwise stay unseen, thereby 
contributing to healthcare fraud costs’ decrease. However, the efficient use of 
AI in healthcare fraud detection is possible only if the insurers, healthcare 
providers, regulators, as well as the developers of the AI technologies, work 
together. These stakeholders have critical parts to play on what an AI model is, 
how ethical it is, and whether it will meet the privacy and legal requirements. 
Although there are key issues, which still persist with AI adoption to prevent 
fraud, the prospects for AV use in fraud appear bright. Thus, given the 
continuous growth in innovations in AI technologies, ethical issues, and 
policies, AI systems will go a long way in transforming how HS prevent and 
avoid fraud effectively to generate increased health safety.