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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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Human-Artificial Intelligence Symbiotic Reporting for Theranostic Cancer Care.

J Harvey Turner¹

¹Department of Nuclear Medicine, The University of Western Australia, Fiona Stanley Fremantle Hospitals Group, Murdoch, Australia.

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|November 6, 2024

Summary

Artificial intelligence (AI) can revolutionize nuclear oncology by enabling personalized theranostic treatments. AI-driven quantitative analysis and integrated reporting promise precise radioligand therapy for cancer patients, moving beyond a one-size-fits-all approach.

Keywords:

artificial intelligence dosimetry ethics phronesis radiomics trust

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Area of Science:

Nuclear Medicine
Oncology
Artificial Intelligence

Background:

Current theranostic treatments for prostate cancer and neuroendocrine tumors use fixed activities, lacking personalization.
Nuclear oncology practices with 177Lu radioligands are not yet precision medicine.

Discussion:

Artificial intelligence (AI) can create a symbiotic relationship with physicians for improved theranostic reporting.
AI enables quantitative data analysis, radiomics, and dosimetry for personalized cancer treatment.
Human-AI interaction will lead to comprehensive nuclear medicine reports.

Key Insights:

AI can analyze diagnostic images and calculate radiation absorbed doses to tumors and organs.
Therapy activity can be precisely prescribed for effective tumoricidal doses while minimizing toxicity.
AI-driven reports will predict clinical outcomes based on molecular, pathological, and genomic data.

Outlook:

AI integration promises a new paradigm in theranostic reporting and radioligand therapy.
Quantitative imaging and dosimetry will allow individualized dose monitoring throughout treatment.
AI can enhance physician accountability and foster patient-physician trust in cancer care.