AI in Health Care
Patient Benefits
Doctor Benefits
Challenges of Converting the Industry to AI
Opposition of AI Technology in Health Care
• A lot of processes can be automated and sped up through the application of AI technology. This also reduces human errors which can cost a patient their life.
• The implementation of AI technology across the medical industry will reduce the costs placed on the average consumer, as companies will be saving large amounts of money on employees and what not.
• AI can make more timely diagnoses when time is a crucial factor
• I want to discuss that the combination of human professionals and AI technology is the best route to pursue with AI technology. I do not want to convey that AI is replacing doctors.
• Doctors can pass on tedious tasks to AI such as analyzing data sets, which can be done more efficiently and accurately by an AI. Humans can then interpret the results based on the AI’s results and formulate their own professional opinion.
• Professionals can utilize AI technology to help them diagnose patients and monitor treatment plans.
• Many doctors fear they will lose their jobs
• AI is still being studied and researched , and is a new area of technology that has recently began gaining popularity
• Large startup costs of investing in AI technology have a lot of people concerned about the effectiveness and value of AI
• Not a lot of studies have been conducted on AI in the medical field, and there are only a few studies with valid data inputs that yield an actual conclusion
• We are still trying to understand big data and effective techniques to analyze and draw conclusions from these enormous data sets.
• The reality of implementing AI technology as we know it into the current medical industry (how it affects patients, doctors, companies, etc.)
• AI technology can only be effective when passed valid data that reflects real world patients
Patient Consequences
Security and vulnerability of sensitive data
Hackers exploiting AI technology