The reason machine learning should be embraced in medicine


Machine learning is taking over industries across the board. There is a race to be the best and the smartest company using machine learning. The medical field might be able to benefit the most from the industry. Tech and medicine have worked together so well in the past with all of the advancements allowing us to see machines helping people breathe and go through radiation. Machine learning has the potential to keep improving medicine and driving the world towards better health and healing abilities.

Machine Learning Can Lessen Costs

Some of the emotional turmoil that comes with serious medical conditions comes from the costs associated. Not everyone can afford to undergo treatment because of the ridiculous costs associated. Doctors, scientists and professionals want to see machine learning in medicine advance so that they can eliminate the outrageous costs of some treatment centers and medical practices. This would help everyone involved.

Today, companies use data, AI and predictive analytics for healthcare solutions. They bring to the table, software that can allow medical centers to automate a lot of what they do. This could allow for focus and spending elsewhere, which could advance the healthcare industry significantly.

Why There Needs to Be an Increase in Education on Machine Learning in Medicine

Something that has been observed as machine learning has developed is that there is a lack of education in medical school on machine learning. This seems to be something that should advance with the developments of machine learning and medicine. The numbers of paper published in the realm of machine learning has increased since the beginning of the decade. The amount of publications related to undergraduate and graduate medical education have remained the same. This is problematic and shows that there is a need for increased integration of machine learning and the medical field professionals.

With this being observed, this shows a need for medical professionals who also are experts in machine learning. We might see an increase in professions opening up that combine these two fields. We see a demand on the rise as the machine learning field advances and calls for integration with medicine. The public is aware of machine learning and is awaiting further advancements. We can expect these industries to fill this gap and move forward with groundbreaking medical advancements.

Disease Identification will be Forever Changed

This is something that we can’t wait to see advance further. With AI and machine learning, doctors will be able to identifyillnesses and disease far earlier than they would in previous years. Early diagnosis will be more likely and it will decrease the severity of diseases. Machine learning could save millions of lives with this potential advancement.

According to medical analysts, it is now possible for healthcare facilities to collect and manage data through HIPAA compliant systems, and use this information for different diagnostic and therapeutic practices.

Surgeons performing therapeutic operations like cholecystectomy can use real-time laparoscopic imagery to look into cystic structures, gallbladder, danger zone cystic duct & artery and even get notification along the way like “the tool is entering danger zone” or “the target zone is clear.”

Some large players in the medical field are jumping on this bandwagon in search of changing the way professionals diagnose disease. There is research that could allow for early tumor detection and management as well. It is great that researchers are already working towards solving some of these medical issues that cost so many lives around the world. These advancements also will make it easier to lessen doctor visits, which save money for patients. In the future, we hopefully can go in and get tested for tumors and have it be quick and easy. This could ultimately alter the way we treat and diagnose deadly diseases.

Machine Learning Will Make Medical Treatment More Personalized

We already are seeing a surge in the amount of apps that work with mental health practices and self-diagnosing. Someday, we might see technology and medicine become integrated fully into our smart phones in a more sophisticated way.

There are already apps that are helping people with addiction and making life-changing decisions everyday. These apps almost act as therapists in a certain way. This has the potential to alter the way humans seek mental health help as well. Technology will make it easier for people to seek mental health help as well. This could overall reduce the stigma surrounding getting help, while also saving people from suicide and depression. We are excited to see where personalized apps and machine learning will take us in the medical field.

Overall, machine learning and medicine go hand in hand. We can expect constant developments and integration happening in the coming years. Someday, machine learning will help the world solve some lifesaving medical conditions as well as reduce the cost of getting medical help.


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