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Issues And Trends In Healthcare Delivery System

Issues And Trends In Healthcare Delivery System

The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
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A Surgeon's Guide to Artificial Intelligence-Driven Predictive Models.

Abbas M Hassan¹, Aashish Rajesh², Malke Asaad³

¹Department of Plastic & Reconstructive Surgery, 571198The University of Texas MD Anderson Cancer Center, Houston, TX, USA.

The American Surgeon

|May 19, 2022

Summary

This summary is machine-generated.

Artificial intelligence (AI) and machine learning (ML) offer significant potential for improving surgical outcomes through enhanced predictions. Understanding AI algorithms is crucial for advancing AI in surgery and fostering innovation.

Keywords:

artificial intelligence deep learning machine learning prediction predictive model risk assessment surgery

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Area of Science:

Surgical Innovation
Medical Informatics
Artificial Intelligence in Medicine

Background:

Artificial intelligence (AI) excels at processing complex data to identify patterns and relationships.
AI and machine learning (ML) show promise in improving surgical care through prediction, aiding in screening, diagnosis, and planning.
A foundational grasp of AI algorithms is vital for its progression in surgical applications.

Purpose of the Study:

To equip surgeons with a fundamental understanding of AI-driven predictive models.
To provide an overview of common ML and deep learning algorithms used in surgery.
To lay the groundwork for comprehending ML-based surgical research and innovation.

Main Methods:

Overview of common machine learning (ML) algorithms.
Explanation of deep learning (DL) algorithms.
Discussion of AI model development, performance metrics, and interpretation.

Main Results:

Surgeons will gain a basic understanding of AI predictive models.
The article facilitates comprehension of ML-based research in surgery.
It aims to stimulate new ideas and innovations in AI for surgical disciplines.

Conclusions:

Fundamental knowledge of AI algorithms is essential for advancing AI in surgery.
This overview serves as a basis for understanding and developing ML-based surgical research.
The study encourages innovation and the expansion of AI's role in surgical practice.