AI-powered medical devices and cloud-based data analysis systems are transforming medical diagnostics and screening processes. These technologies enhance the clinical value of medical data and enable earlier detection and intervention for life threatening diseases.
Le Lu, a researcher and Senior Director at Alibaba DAMO Academy, presented on the growing capabilities of AI-powered cancer screening at the 2024 AI for Good Global Summit. He highlighted that today’s AI models can detect the seven deadliest cancers—breast, lung, esophageal, stomach, colon, pancreatic and liver—which together account for 70 per cent of cancer deaths and 50 per cent of new cases globally each year. These AI systems are accessible via AI cloud platforms through public Application Programming Interfaces, broadening global access to advanced diagnostics. Lu also shared case studies where AI detected pancreatic tumours that routine CT scans missed, underscoring their superior diagnostic accuracy.
Tuberculosis, the world’s deadliest infectious disease, disproportionately affects low-income populations, with treatment costs often reinforcing cycles of poverty. AI Diagnostics, winner of the 2024 AI Innovation Factory Africa, developed an AI model that detects tuberculosis by analysing lung sounds. The company created a commercial AI-powered stethoscope and a tuberculosis lung sound training database to provide accurate, low-cost detection of lung abnormalities. This innovative technology lowers detection barriers, reduces patient suffering, speeds up treatment and helps limit disease transmission.
This case study is an excerpt from the AI for Good flagship report produced by UNU-CPR, Unlocking AI's Potential to Serve Humanity.