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

The application of artificial intelligence in healthcare often has a number of ethical implications. In the past, human beings themselves made almost all healthcare decisions. In addition, the use of smart devices to produce or assist with them raises questions about responsibility, openness, consent, and privacy.<br>Latest trends in medical AI<br>Aside from merely showing superior effectiveness, emerging innovations that reach the medical sector often need to align with existing procedures, obtain sufficient regulatory clearance, 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.<br>To learn more visit: http://www.tutorsindia.com/blog/<br>Contact: <br>Website: www.tutorsindia.com<br>Email: info@tutorsindia.com<br>United Kingdom: 44-1143520021<br>India: 91-4448137070<br>Whatsapp Number: 91-8754446690<br>

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

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  1. TRENDS AND ISSUESOF ARTIFICIAL INTELLIGENCE IN MEDICALAPPLICATION An Academic presentationby Dr. Nancy Agens, Head, Technical Operations,TutorsIndia Group www.tutorsindia.com Email:info@tutorsindia.com

  2. Today'sDiscussion OUTLINE What is Artificial Intelligence? Issues Related to Medical AI Conclusion

  3. What is ArtificialIntelligence? Artificial intelligenceor AI is a vast segment of computer science dedicated to development of intelligent machinesthat can perform jobs that need humanintellect. 1.WHAT IS MEDICALAI? The fundamentals of evidence-based practice are guiding clinical decision-making by lessons from historicalresearch. AI offers strategies by ML or machine learning that reveal dynamic relationships that cannot be readily turned to anequation. This permits Machine Learning structures to address solution to complex problems just like a clinician woulddo. Contd..

  4. LATEST TRENDS IN MEDICALAI 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 modernapproach. Such problems have given rise to many new developments in study and acceptance of Artificialintelligence. AI OUTSHINES AT PRECISEACTIVITIES Study has centered on activities where artificial intelligenceis able to show itsefficiency with respect to humandoctor. The input is a visual image for the detection of abnormal skin lesions and the output is a basic binary description: benign ormalignant. Contd..

  5. Under such terms, researchers clearly needed to prove that artificial intelligence was superior in responsiveness and accuracy thandermatologists. 4. AI SUPPORTS DOCTORS, WON’T REPLACETHEM Robots lack human values like empathy and kindness and thus patients need to understand that human doctors are in charge ofconsultations. Artificial Intelligencethus usually performs roles, which are important but small enough in their reach to leave the key healthcare responsibilities for the humandoctors. There is an active clinical study using artificial intelligenceto measure target areas for head & neck radiotherapy more precisely and much faster than ahuman. Contd..

  6. AI SUPPORTS BADLY RESOURCEDSERVICES A single artificial intelligencesystem is capable of serving a huge population and is therefore ideally suited to circumstances where human expertise is a rarething. Using artificial intelligence, analysis of radiographs submitted at these centers can be performed by a standalone-centralizedsystem. AI IS INCREDIBLY SELECTIVEEATER Building Machine Learning models needs well-formatted training data about a stable phenomenon overtime. A diversion from these findings is 'over-fitting,' where artificial intelligenceputs undue importance on spurious correlations in pastdata. Google tried to forecast influenza's seasonal occurrence using only the search terms loaded into its searchengine. Contd..

  7. Issues Related to Medical AI Ethicalconsequences The application of artificial intelligencein healthcare often has a number ofethical implications. Recommendation While early efforts to provide guidelines for diagnosis and treatment have proved difficult, we believe that AI can eventually master the domaintoo. Given the rapid advancement in Artificial Intelligencefor medical research, it seems probable that a computer would analyze most of the radiology and pathology images at somestage.

  8. Conclusion From the above discussion, we can conclude that Artificial Intelligencecan 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 higheraccuracy. However, the use of AI in medical practice has issues liketransparency andprivacy.

  9. CONTACTUS UNITEDKINGDOM +44-1143520021 INDIA +91-4448137070 EMAIL info@tutorsindia.com

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