Trends and issues of artificial intelligence in medical application- Tutors India

TRENDS AND ISSUES OF ARTIFICIAL INTELLIGENCE IN MEDICAL APPLICATION An Academic presentation by Dr. Nancy Agens, Head, Technical Operations, Tutors India Group  www.tutorsindia.com Email: info@tutorsindia.com

Today's Discussion OUTLINE

What is Artificial Intelligence?

Issues Related to Medical AI Conclusion

What is Artificial Intelligence?

Artificial intelligence or AI is a vast segment of computer science dedicated to development of intelligent machines that can perform jobs that need human intellect.

1.WHAT IS MEDICAL AI? The fundamentals of evidence-based practice are guiding clinical decision-making by lessons from historical research.

AI offers strategies by ML or machine learning that reveal dynamic relationships that cannot be readily turned to an equation.

This permits Machine Learning structures to address solution to complex problems just like a clinician would do.

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2. LATEST TRENDS IN MEDICAL AI Emerging innovations that reach the medical sector often need to align with existing procedures, and possibly most significantly, encourage medical professionals and patients to engage in a modern approach.

Such problems have given rise to many new developments in study and acceptance of Artificial intelligence.

3. AI OUTSHINES AT PRECISE ACTIVITIES Study has centered on activities where artificial intelligence is able to show its efficiency with respect to human doctor.

The input is a visual image for the detection of abnormal skin lesions and the output is a basic binary description: benign or malignant.

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Under such terms, researchers clearly needed to prove that artificial intelligence was superior in responsiveness and accuracy than dermatologists.

4. AI SUPPORTS DOCTORS, WON’T REPLACE THEM Robots lack human values like empathy and kindness and thus patients need to understand that human doctors are in charge of consultations.

Artificial Intelligence thus usually performs roles, which are important but small enough in their reach to leave the key healthcare responsibilities for the human doctors.

There is an active clinical study using artificial intelligence to measure target areas for head & neck radiotherapy more precisely and much faster than a human.

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5. AI SUPPORTS BADLY RESOURCED SERVICES A single artificial intelligence system is capable of serving a huge population and is therefore ideally suited to circumstances where human expertise is a rare thing.

Using artificial intelligence, analysis of radiographs submitted at these centers can be performed by a standalone-centralized system.

6. AI IS INCREDIBLY SELECTIVE EATER Building Machine Learning models needs well-formatted training data about a stable phenomenon over time.

A diversion from these findings is 'over-fitting,' where artificial intelligence puts undue importance on spurious correlations in past data.

Google tried to forecast influenza's seasonal occurrence using only the search terms loaded into its search engine.

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Issues Related to Medical AI Ethical consequences The application of artificial intelligence in healthcare often has a number of ethical implications.

Recommendation While early efforts to provide guidelines for diagnosis and treatment have proved difficult, we believe that AI can eventually master the domain too.

Given the rapid advancement in Artificial Intelligence for medical research, it seems probable that a computer would analyze most of the radiology and pathology images at some stage.

Conclusion From the above discussion, we can conclude that Artificial Intelligence can support doctors and can even excel them in some cases like classification of suspicious skin lesions.

AI can give support to poorly resourced medical areas like TB where AI can diagnose the disease with higher accuracy.

However, the use of AI in medical practice has issues like transparency and privacy.

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