Introduction:
A Simple Introduction about Artificial intelligence
Body:
It is the central part of the answer and one should understand the demand of the question to provide rich content.
AI's Impact on Healthcare:
AI, powered by machine learning and big data analytics, is reshaping the healthcare landscape by reducing costs and improving outcomes. It enhances clinical diagnosis, disease detection, and treatment efficacy, transforming traditional healthcare practices into more patient-centric approaches.
Examples:
Transplant Surgery Without Blood Transfusion: Before transplant surgery, AI evaluates blood coagulation factors to ensure optimal conditions for surgery. By monitoring blood thinners and coagulation effects in real-time during surgery, AI technology facilitates safe surgeries without the need for blood transfusions.
Early Cancer Detection: AI plays a crucial role in early cancer detection by analyzing radiological and pathological images to identify cancerous traits. Through machine learning algorithms trained on extensive datasets, AI detects tissue changes indicative of malignancies, enabling early intervention and improved patient outcomes.
Tumour Picture Bank at TMH: TMH utilizes AI to create a tumour picture bank, annotating and categorizing images based on biopsy results, histology, and genetic sequences. These algorithms aid in treatment response assessment, guiding personalized treatment plans and minimizing unnecessary chemotherapy.
Conclusion:
The ending of the answer should be on a positive note and it should have a forward-looking approach.
Artificial intelligence is revolutionizing the healthcare sector, enhancing diagnosis, treatment, and patient care. Through innovative applications like TMH's 'Bio-Imaging Bank,' AI empowers healthcare professionals to make more informed decisions, leading to better outcomes and improved patient experiences. As AI continues to evolve, its potential to transform healthcare delivery and improve population health outcomes remains promising.
Other Points to Ponder
Can AI help reduce cancer fatalities in the future?
Bio-Imaging Bank
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Previous Year Questions
1. Introduce the concept of Artificial Intelligence (AI). How does AI help clinical diagnosis? Do you perceive any threat to privacy of the individual in the use of AI in healthcare? (2023)
2. What do you understand by nanotechnology and how is it helping in health sector? (2020)
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