Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
AI in Healthcare: Unlocking the Potential of Data-Driven Medicine
0
Zitationen
1
Autoren
2025
Jahr
Abstract
Through leveraging data-driven medicine, improving clinical decision-making, and increasing patient outcomes, artificial intelligence (AI) is the one revolutionizing healthcare today. The giant accumulation of medical data serves as a tool for artificial intelligence systems to analyze large datasets, identify trends, forecast health issues, and offer treatment options that are personalized. Natural language processing, machine learning methodologies, and computer vision are applied significantly to boost diagnosis, make administrative tasks more effective, and support healthcare that provides exact therapy. AI technology shows the way to the point by which, through precisely pinpointing abnormalities, medical imaging is being revolutionized and radiologists are able to swiftly detect diseases including cancer and neurological disorders. In addition, through the use of artificial intelligence scientists can do the faster discovery of the right chemicals than in the old-style of research in which they were setting up expensive equipment. AI-based chatbots and virtual assistants connect patients with doctors, offer medical advice, and improve distance care services in telemedicine. A field in which artificial intelligence (AI) is a significant player is predictive analytics for early identification of the disease, optimization of hospital resources allocation, and reduction of emergency admissions to hospitals. Wearable devices and remote monitoring systems, which enable real-time data collection, help to enhance AI's potentials and provide healthcare professionals with monitoring the patients. AI in healthcare systems is only possible if the major hurdles such as data security, algorithmic bias, and transparent decision-making are done away with. Ensuring that the use of artificial intelligence fully respects patients’ safety and privacy where hospital practitioners, data scientists, and regulatory bodies cooperate is the key. A healthcare system combining human expertise with the AI-generated insights might be the next best way to make mankind happy, by providing more accurate and cheaper therapy, thus it would transform medical practice and world health outcomes
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.490 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.376 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.832 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.553 Zit.