Artificial intelligence (AI) is a set of technologies that empowers computers to learn, reason, and perform a variety of advanced tasks in ways that used to require human intelligence, such as understanding language, analyzing data, and even providing helpful suggestions.
AI in clinical diagnosis
Early diagnosis: AI detects cancers, arrhythmias, and stroke risks early, enabling timely treatment. Eg- IBM Watson for Oncology
Pattern recognition: AI analyzes patient records to predict diabetes, hypertension, and other diseases across populations. Eg- MadhuNetrAI Program
Robotic process automation: AI automates billing, authorizations, and record updates, reducing workload and operational costs.
AI-guided treatment: AI personalizes treatments using genetics, lifestyle, and medical history analysis. Eg- Genetika+ using stem cell technology and AI software to match antidepressants to patients and minimise side effects.
Enhanced accuracy: AI interprets X-rays, CT scans, MRIs, and ECGs with high precision, reducing diagnostic errors.
Medical image analysis: AI detects tumours, fractures, and eye diseases from scans with remarkable accuracy. Eg- Google DeepMind Health
Health monitoring: Wearables track heart rate and activity, supporting preventive healthcare through continuous monitoring. Eg- Fitbit devices.
Threats to Individual Privacy from AI in Healthcare
Permanent Risk of Re-identification: Expert states that no anonymized dataset is permanently secure; mathematical advancements constantly improve de-anonymization science.
Cyber Vulnerabilities: Eg- The 2022 AIIMS attack compromised data of 30 million individuals.
Predictive Discrimination Harms AI predicts future health risks, potentially leading to workplace or insurance bias.
Algorithmic Bias and Marginalization AI trained on affluent data may recommend suboptimal care for marginalized groups. Eg- : Amazon’s AI recruitment tool mirrored historical gender bias.
Secondary use of patient data: Health data collected for treatment may later train AI algorithms without meaningful patient consent.
Corporate surveillance: AI wearables monitoring vitals and behavior may enable profiling and commercial manipulation.
While AI offers unprecedented breakthroughs in diagnostic accuracy, its clinical deployment must be balanced with absolute data protection.