AI-based technologies in healthcare are improving patient diagnosis, treatment, and efficiency, but require effective planning and strategies to fully benefit from their potential.

Application of Artificial Intelligence-Based Technologies in the Healthcare Industry: Opportunities and Challenges

AI integration in acute care offers potential benefits, but a careful transition and medical education must be developed to ensure human oversight and effective communication with AI.

Artificial intelligence systems for complex decision-making in acute care medicine: a review

AI integration in Hospital Integrated Risk Management can improve patient safety, operational efficiency, and mitigate risks, but requires robust data governance, ethical guidelines, and employee competencies.

Integrated Risk Management and Artificial Intelligence in Hospital

AI has the potential to enhance healthcare and hospitals, but successful integration requires overcoming challenges like regulatory standardization, privacy protection, and data availability.

The Potential Application of Artificial Intelligence in Healthcare and Hospitals

AI in healthcare has revolutionized the industry, improving diagnostics, patient engagement, and compliance, but faces challenges in privacy, safety, and governance.

A Review of the Role of Artificial Intelligence in Healthcare

AI can transform healthcare, but requires careful governance and research on its specific capabilities and limitations.

The promise of artificial intelligence: a review of the opportunities and challenges of artificial intelligence in healthcare.

The SIP Research Plan for Japan's AI hospital system shows insufficient consideration of ethical issues in AI development and implementation, highlighting the need for full WHO guidance in future AI healthcare plans.

The ethics of advancing artificial intelligence in healthcare: analyzing ethical considerations for Japan’s innovative AI hospital system

AI is revolutionizing healthcare by enhancing early detection, diagnosis, treatment, and outcome prediction in various diseases, including cancer, neurology, and cardiology.

Artificial intelligence in healthcare: past, present and future

AI can support physicians in diagnosis, disease prediction, and treatment customization, but requires skills and data quality awareness for data-intensive analysis and knowledge-based management.

The role of artificial intelligence in healthcare: a structured literature review

Artificial intelligence in healthcare can improve early detection of chronic diseases, reduce financial burden, and severity, and enhance patient connection and engagement.

Introduction to Artificial Intelligence: Reasoning with Constraints

AI technology in hospital information management can improve early detection of health problems, enhancing diagnostic accuracy and reducing treatment time.

Early Detection of Health Problems through Artificial Intelligence (Ai) Technology in Hospital Information Management: A Literature Review Study

AI in ICU can potentially improve patient outcomes, but successful implementation requires careful consideration of privacy, data collection, and clinical judgment.

Artificial intelligence in the intensive care unit

AI-assisted decision-making in healthcare can be ethically and responsibly implemented when considering accountability, transparency, potential harms, and clinicians' professional roles and integrity.

AI-Assisted Decision-making in Healthcare

AI has potential in nursing care settings, but future research should focus on real-world scenarios and ethical and legal implications.

Application Scenarios for Artificial Intelligence in Nursing Care: Rapid Review

AI in healthcare faces epistemic, normative, and traceability ethical issues, requiring careful consideration by policymakers, regulators, and developers to maximize benefits while avoiding potential harms.

The ethics of AI in health care: A mapping review.

AI has the potential to improve patient safety in healthcare by reducing adverse events and enhancing early detection, particularly in areas where current strategies are ineffective.

The potential of artificial intelligence to improve patient safety: a scoping review

AI in healthcare has the potential to improve patient safety, but robust governance is essential to mitigate the risks and build trust among patients and practitioners.

Governing the safety of artificial intelligence in healthcare

AI technologies, particularly deep learning and neural networks, can revolutionize healthcare and pharmaceutical research, improving disease diagnosis, personalized treatment, drug discovery, and epidemic forecasting.

Artificial Intelligence in Pharmaceutical and Healthcare Research

AI has the potential to ease the human resources crisis in healthcare by facilitating diagnostics, decision-making, big data analytics, and administration, but must overcome technological, ethical, and legal obstacles before it can be fully implemented.

Will artificial intelligence solve the human resource crisis in healthcare?

AI has potential for indirectly improving health outcomes in pediatric critical care, but more experimental studies are needed to confirm its direct impact.

Artificial Intelligence to Improve Health Outcomes in the NICU and PICU: A Systematic Review.

Most studies suggest that hospitals should use AI to improve diagnosis, treatment, and efficiency, while other studies highlight the need for careful planning, ethical guidelines, and robust data governance.