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Artificial intelligence in medicine.

A N Ramesh¹, C Kambhampati, J R T Monson

¹The University of Hull Academic Surgical Unit, Castle Hill Hospital, Cottingham, UK.

Annals of the Royal College of Surgeons of England

|August 31, 2004

Summary

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See all related articles

Artificial intelligence (AI) and neural networks analyze complex medical data for diagnosis and treatment. Further clinical trials are needed to integrate these AI techniques into real-world medical practice.

Area of Science:

Computer science
Medical informatics

Background:

Artificial intelligence (AI) analyzes complex medical data.
AI can identify relationships within datasets for clinical applications.

Purpose of the Study:

To review artificial intelligence techniques.
To explore clinical applications of AI in medicine.

Main Methods:

Searches of Medline and internet using keywords 'artificial intelligence' and 'neural networks'.
Cross-referencing key articles for additional references.

Main Results:

AI techniques show proficiency across diverse medical fields.
Artificial neural networks are common, alongside fuzzy expert systems, evolutionary computation, and hybrid systems.

Related Experiment Videos

Conclusions:

AI has broad potential applications in medicine.
Further well-designed clinical trials are necessary before widespread clinical adoption.