AI in Medicine

When we describe healthcare, you would expect hospitals, care centers, and doctors to care for your needs. However, do you imagine an AI running your medical checks and giving you advice? That sounds ridiculous to have some program tell you what to take or give you a full diagnosis. Medicine is ever-growing in our world, which includes having AI swept the market within healthcare.

AI has grown throughout the years in development within varying industries. Producing new wonders in technology and tools, AI within the span of a decade has evolved to produce efficient analysis of large amounts of data. It is an amazing tool to be used as it fills out hard tasks to be done in a simple execution while it does the heavy lifting.

What does this mean for healthcare? AI within healthcare can show many benefits as it can be a powerful tool for patients and doctors. Through many aspects such as diagnosing health, prognosis, patient care, and figuring out ways to aid patients AI has come a long way. BioNTech funds AI to help develop manufactured active immunotherapies for patient-specific approaches to treating diseases, accompanied by several other companies like Aidence, as their primary focus is on AI to improve radiological diagnostics for lung cancer. AI has become our new future in improving medicine and saving lives.

Our future of medicine comes with unwanted risks. As the general public thinks that AI will someday replace doctors, which is one of the hazards and misconceptions. Having your checkups being run by a complete AI and no real human interaction, how scary is that? With our improving technology, it is highly unlikely that AI will soon replace people when in reality, it only serves to help and study diseases, injuries, or unknown problems that doctors have no awareness of. It provides insight and knowledge that doctors may not easily detect or give a prognosis. In part of that, there are inherent risks, as AI is not always perfect. Challenges may be misrepresented data collection, model selection, or false prognosis. The tribulations of AI can cause problems in reliability and trustworthiness as it is only sometimes right.