Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Precision Prognosis: Harnessing Artificial Intelligence for Early Detection and Prediction of Diseases in Healthcare
0
Zitationen
3
Autoren
2025
Jahr
Abstract
Artificial Intelligence (AI) plays a crucial role in the early detection and prediction of many diseases and complications based on the symptoms and data. This also helps in the management and provision of necessary care for various life-threatening diseases, significantly suggesting necessary preventive measures. Through the development of relatable computer algorithms, artificial intelligence has achieved a level of accuracy comparable to that of human experts in the medical field.AI-powered imaging conducts precise calculations to detect abnormalities, leading to improved clinical outcomes. AI in healthcare results in more precise diagnoses. Various forms of AI modules, including image acquisition, machine learning, and disease pattern recognition, are being explored. AI technologies can improve analysis and prediction by utilizing data from wearable devices, collecting patient data, and processing it.Recent research highlights AI’s capability to predict a wide range of diseases, encompassing cardiovascular issues, strokes, respiratory conditions, and life-threatening diseases. This swift advancement of AI modules is anticipated to elevate survival rates and significantly elevate the quality of treatment, while also aiding in the anticipation of disease occurrences and the prevention of major complications, including patient care. The emphasis should be on the mantra that ’Prevention is better than cure.’
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.231 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.084 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.444 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.423 Zit.