Medical Intelligence

Medical Intelligence

Medical Intelligence is a new discipline, converging human and artificial intelligence. Artificial intelligence will not replace human intelligence, especially in medicine. Diagnosis and treatment will remain a human endeavor. But AI will be an indispensable tool helping human intelligence effectively deliver better quality healthcare. The overwhelming benefit is that it raises the bar for all practitioners. A minimum level of quality medical care can available globally. The higher standard for diagnostic accuracy, therapeutic recommendations, and overall care from this mass of data gathering will improve overall health and wellness everywhere. Applied effectively, these tools also drive down overall healthcare costs, diagnostic errors, and unnecessary procedures. Greater accuracy eliminates needless testing and procedures significantly and delivers effective care more quickly. Diagnosis is more immediate, recovery times faster, care more available, and overall expenses reduced.

Distributed Machine Learning Can Bring Healthcare Breakthroughs

Distributed Machine Learning Can Bring Healthcare Breakthroughs

Distributed learning can enable machine learning for health care. With its unique privacy approach, it can very effectively overcome the greatest obstacle facing AI adoption in health care today. We no longer need to choose between patient privacy and the utility of the data to society. We can now achieve privacy and utility simultaneously.

The Global Internet is Becoming a Full-Service App – The WeChat Internet

The Global Internet is Becoming a Full-Service App – The WeChat Internet

WeChat has become the ubiquitous, full-service platform for communication and commerce in China. Essentially, the company has taken the mobile Internet and made it their own. The WeChat internet has a lot to admire — and emulate. While the United States sees big tech as a colossus that needs to be knocked down, the Chinese government saw tech companies as economic engines to be harnessed. They were right.