Abstract:
Artificial Intelligence is the new face of healthcare revolution that is changing diagnosis, treatment, and patient care across many areas. This review assesses the current use of AI in medical imaging, virtual care, and drug discovery, emphasizing how AI can play a crucial role in overcoming the difficulties in the healthcare sector. AI-based tools like machine learning, natural language processing, and deep learning provide accurate diagnoses, enhanced monitoring of patients, and streamline clinical services. Till now, 29 AI devices have received FDA approval. Digital health data and wearable devices will only fuel further integration in this regard. The issues of data privacy, ethical concerns, and clinician acceptance are actively being addressed; however, the paper extends into potential AI use in connected health through IoT and immersive healthcare experiences within the metaverse. AI will significantly upgrade healthcare professionals and has the potential to make the patient outcomes better, make workflows more efficient, and support personalized care on a much greater scale with promise for an even more efficient, accessible healthcare system.
Keywords: AI, healthcare, diagnostics, imaging, virtualcare, telemedicine, drugdiscovery, genomics, patientmonitoring, rehabilitation.
Citation:
Robert Brown (2024), Artificial Intelligence for Healthcare: A Review of Current Applications and Future Prospects. International Journal of Arts, Commerce & Education (IJACE), Volume: 01 Issue: 01, Pages: 22-33. https://www.ijace.org/papers/v1/i1/IJACEV1I10004.pdf