Jul 2026· Journal of Health Management· Vol 28, pp. 606 - 614· 0 citations· 16 references
TL;DR
The primary goal of this investigation was to investigate the uses of AI for the detection, identification and diagnosis of various diseases and health disorders and provide future implications to professionals in the medical and medical informatics fields in AI abilities and competencies.
Abstract
Artificial intelligence (AI) has the potential to transform the healthcare industry by improving the quality and efficiency of healthcare services. AI in healthcare can revolutionise various elements of patient care and administrative processes. The primary goal of this investigation was to investigate the uses of AI for the detection, identification and diagnosis of various diseases and health disorders and provide future implications to professionals in the medical and medical informatics fields in AI abilities and competencies. A survey was administered to many doctors working in various healthcare settings across India, and the responses were collected and analysed using statistical methods. According to the report, most healthcare professionals thought AI significantly impacted healthcare quality and effectiveness, with the potential to lower costs and boost patient outcomes. The findings of this study will enhance the ongoing discussions on the incorporation of AI in healthcare and offer suggestions for long-term progress in healthcare. The results of this study add to the expanding body of knowledge about how AI is affecting healthcare and shed light on the viewpoints of healthcare workers, which can help policymakers and decision-makers in the healthcare sector make decisions that will promote sustainable development.
To promote the safe and effective adoption of AI, stronger clinical evidence, structured training programs, and organizational models capable of supporting its implementation are required.
Eugenio Santoro· Recenti progressi in medicin...· 0 citations
The research explores the transformative impact of Artificial Intelligence (AI) on healthcare, focusing on its advancements in diagnostics and disease prediction. It traces the evolution of machine learning algorithms from rule‑based systems to sophisticated deep learning techniques, such as CNN for medical imaging and...
Hanan R. Alnjar· International journal of re...· 0 citations
This paper provides an overview of the application of artificial intelligence (AI) within the health and medical sectors, including its growing role in clinical practice, healthcare delivery, and research. The paper also outlines the contribution of the Canberra Health Services Library in advancing AI literacy among he...
S. Chandra· Journal of Health Informatio...· 0 citations
Background Globally, health systems face increasing challenges due to improved life expectancy, rising levels of disease, greater expectations for health care, and growing expenditure. AI-based technologies are increasingly used to support clinical decision-making and contribute to effective delivery of care. AI has si...
T. Bedenik, Orna Fennelly, K. Bennett· Journal of Medical Internet...· 0 citations
Artificial intelligence can enhance mental healthcare through early detection, personalized treatment planning, predictive risk assessment, digital therapeutics, and remote care delivery, and these applications may expand access to mental health services, particularly in underserved and resource-limited settings.
Fabiana Chyczij, M. Paixão, Diogo Gonçalves Sara· Global Health Economics and...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.