AIMC Topic: Delivery of Health Care

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Department of Medicine 2040: Implementing a Constrained Disorder Principle-Based Second-Generation Artificial Intelligence System for Improved Patient Outcomes in the Department of Internal Medicine.

Inquiry : a journal of medical care organization, provision and financing
Internal medicine departments must adapt their structures and methods of operation to accommodate changing healthcare systems. The present paper discusses some challenges departments of medicine face as healthcare providers and consumers continue to ...

3D Printable Drug Delivery Systems: Next-generation Healthcare Technology and Regulatory Aspects.

Current pharmaceutical design
A revolutionary shift in healthcare has been sparked by the development of 3D printing, propelling us into an era replete with boundless opportunities for personalized DDS (Drug Delivery Systems). Precise control of the kinetics of drug release can b...

Ensuring AI Is Helpful and Not Harmful in Health Care.

IEEE pulse
The presence of artificial intelligence (AI) is spreading fast through almost every industry, and health care is no exception. Data-based decision-making software is becoming pervasive in all facets of modern life, and the AI-enabled chatbot ChatGPT ...

Review of Artificial Intelligence-Based Signal Processing in Dialysis: Challenges for Machine-Embedded and Complementary Applications.

Advances in kidney disease and health
Artificial intelligence technology is trending in nearly every medical area. It offers the possibility for improving analytics, therapy outcome, and user experience during therapy. In dialysis, the application of artificial intelligence as a therapy-...

Artificial intelligence and machine learning in ophthalmology: A review.

Indian journal of ophthalmology
Since the introduction of artificial intelligence (AI) in 1956 by John McCarthy, the field has propelled medicine, optimized efficiency, and led to technological breakthroughs in clinical care. As an important frontier in healthcare, AI has implicati...

Session Introduction: Precision Medicine: Using Artificial Intelligence to Improve Diagnostics and Healthcare.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
Precision medicine requires a deep understanding of complex biomedical and healthcare data, which is being generated at exponential rates and increasingly made available through public biobanks, electronic medical record systems and biomedical databa...

Management Opportunities and Challenges After Achieving Widespread Health System Digitization.

Advances in health care management
The adoption of electronic health records (EHRs) and digitization of health data over the past decade is ushering in the next generation of digital health tools that leverage artificial intelligence (AI) to improve varied aspects of health system per...

Artificial intelligence in veterinary care will be a major driving force behind ai advancements in healthcare.

Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association