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?
1. Artificial Intelligence is the simulation of
Artificial Intelligence is the simulation of human intelligence by machines, learning from data, reasoning and recognising patterns.
2. Machine learning and deep learning
Machine learning and deep learning, especially neural networks, are the core techniques powering modern AI systems.
3. AI models trained on X-rays
AI models trained on X-rays, CT, MRI and retinal images detect abnormalities with accuracy comparable to specialists.
4. AI assists pathology and genomics by
AI assists pathology and genomics by analysing biopsy slides and genetic data for cancer and rare-disease diagnosis.
5. Clinical decision-support systems and chatbots triage
Clinical decision-support systems and chatbots triage patients, predict disease risk and recommend treatment plans.
6. AI enables telemedicine and remote diagnosis
AI enables telemedicine and remote diagnosis, bringing specialist-level screening to underserved rural areas.
7. Privacy threat: AI requires vast sensitive
Privacy threat: AI requires vast sensitive health data; breaches or misuse can expose intimate records and enable discrimination.
8. India’s DPDP Act 2023 and health-data
India’s DPDP Act 2023 and health-data frameworks aim to regulate consent and processing, balancing innovation with privacy.
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