Year: 2025
Type: article
Abstract: Artificial Intelligence (AI) is revolutionizing healthcare by enhancing diagnostics, treatment planning, and patient care. This article provides an overview of the use of AI in healthcare by means of Electronic Health Records (EHRs), AI symptom checkers, drug discovery, predictive health analysis, and telemedicine. AI has significantly increased efficiency, reduced medical errors, and offered personalized treatments. But present AI-enabled healthcare systems lack some features such as the lack of physical examination, cybersecurity, poor internet connectivity, and medical miscommunication via telemedicine. The above can be addressed through the implementation of introduction of blockchain-based electronic health records, speech-to-text technology enabled by AI, remote diagnostic kits, and hybrid telemedicine. In addition, AI-enabled robotic surgeries ensure precision with minimal human error and reduced recovery time. The technical roadmap offers an AI-based, scalable healthcare solution that combines cloud computing, edge AI, and blockchain security to make it interoperable without any disruption. With the surmounting of the existing constraints, AI can potentially reshape healthcare accessibility, affordability, and efficiency with improved patient outcomes
Institution: St. Joseph’s College of Engineering
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4409590882