Skeletal Radiology, Год журнала: 2025, Номер unknown
Опубликована: Май 23, 2025
Язык: Английский
Skeletal Radiology, Год журнала: 2025, Номер unknown
Опубликована: Май 23, 2025
Язык: Английский
European Journal of Medical and Health Research, Год журнала: 2025, Номер 3(2), С. 203 - 213
Опубликована: Март 1, 2025
This paper presents a comprehensive overview of the current applications artificial intelligence (AI) in internal medicine, highlighting its transformative potential improving diagnostics, treatment and management, prognostication, operational efficiency. The discussion encompasses AI-driven imaging analysis, including advanced techniques such as convolutional neural networks that enhance accuracy speed radiological pathological diagnoses. AI electronic health record analytics laboratory data interpretation are examined, demonstrating how predictive models natural language processing facilitate early disease detection more informed clinical decisions. integration personalized medicine decision support systems is explored, with emphasis on tailoring plans optimizing therapeutic monitoring through real-time analysis. Furthermore, reviews development risk assessment enable targeted interventions proactive patient care. Operational efficiency addressed investigation workflow optimization, virtual assistants, administrative automation, which collectively contribute to reducing clinician workload enhancing satisfaction. also identifies key challenges ethical considerations, privacy, algorithmic bias, regulatory uncertainties, while providing recommendations for future research policy development. findings indicate that, although holds significant promise revolutionizing multidisciplinary collaboration ongoing evaluation essential ensuring safe, equitable, effective into practice.
Язык: Английский
Процитировано
0Skeletal Radiology, Год журнала: 2025, Номер unknown
Опубликована: Май 23, 2025
Язык: Английский
Процитировано
0