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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
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...

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Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

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Precision and Progress: Machine Learning Advancements in Plastic Surgery.

Mohd Altaf Mir¹, Rajesh Maurya¹

¹Burns and Plastic Surgery, All India Institute of Medical Sciences, Bathinda, Punjab, IND.

|August 17, 2023

Summary

Machine learning (ML) enhances plastic surgery by improving preoperative planning, predicting outcomes, and personalizing treatments. Challenges include data quality and ethical considerations for optimal patient care.

Area of Science:

Plastic Surgery
Medical Informatics
Artificial Intelligence in Healthcare

Background:

Keywords:

machine leaning outcome analysis pre-surgical planning robotic surgical procedures scar appearance

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Machine learning (ML) offers powerful data analysis capabilities applicable to various medical fields.
Plastic surgery, focused on reconstruction and aesthetic enhancement, can benefit from advanced computational tools.
Integrating ML into plastic surgery promises to refine procedures and improve patient outcomes.