9 Ways Artificial Intelligence Is Transforming Healthcare

9 ways artificial intelligence is transforming healthcare

Artificial Intelligence and Machine Learning is transforming business operations across industries. From autonomous vehicles to financial services, AI has successfully found multiple use cases across virtually every space. For this piece, let’s focus on AI’s influence on healthcare. 

The healthcare industry has a variety of use cases for AI. With its ability to assist medical professionals with diagnoses and drug research, the healthcare community has welcomed AI and ML with open arms. Doctors can now track symptoms faster and effectively, while researchers can locate vaccine raw materials with minimum manual procedures. Hospitals and medical research centers have adopted AI into the heart of their operations. Here’s how AI’s contributions are transforming healthcare:

Improved decision making

Medical professionals have the responsibility to suggest treatment alternatives to patients. With the assistance of AI, doctors can make such decisions a lot faster and more accurately. For example, doctors treating cancer patients can make use of Machine Learning algorithms that can detect cancer cells and their potential spread and impact. Using such algorithms, doctors can choose between various treatment methods available, from basic medication to extensive surgical procedures.

Healthy lifestyle management

Everyone wants to be healthy, and AI is making it easier than ever to stay so. By providing information on daily eating, sleeping, and fitness habits, AI-inspired interfaces can predict the health impact of a user’s lifestyle and suggest quick and long-term fixes.

Health assistant chatbots

Chatbots are the rage today in the customer service space. People love interacting with chatbots to solve queries and receive answers. The healthcare space is taking advantage of chatbots too. Health assistant chatbots can perform simple diagnoses for patients, and accordingly recommend whether the patient needs to visit a hospital or not. Advanced chatbots could also suggest off the shelf medication and dietary suggestions. During difficult times such as the coronavirus outbreak, people are making use of such chatbots to reduce the load on hospitals.

Health monitoring

Patients admitted to hospitals need their parameters monitored constantly. AI/ML models can study a patient’s health parameters and alarm surgeons and physicians regarding high-risk situations. For example, during child-birth, delivering mothers lose a lot of blood, and doctors can effectively measure the amount lost, and accordingly provide the required medical assistance.

Medical imaging

The healthcare community has adopted computer vision to study medical images and provide insights for physicians. In radiology, AI models can locate tumors and predict their development. Dermatology also makes use of computer vision by studying various skin disease cases and identifying the ones at hand. With such technology, dermatologists can assist patients (such as the ones suffering from eczema) with more accurate treatment options. 

Early symptom identification

With AI-inspired health monitoring equipment, doctors can identify potential threats to a patient’s health. Health conditions such as diabetes and heart disease can be addressed in advance and treated, thus eliminating the chances of a condition getting more complicated.

Epidemic spread

If an epidemic’s spread can be analyzed with high precision, populations can mitigate a virus outbreak by adopting healthy practices. For example, during this coronavirus outbreak, understanding the virus’s spread has helped people practice social distancing and regular hand-washing. Two effective ways to tackle COVID-19.

Vaccine research

The coronavirus outbreak has forced pathologists to search for suitable vaccine raw materials. Machine learning can help researchers locate protein structures and eliminate futile alternatives. Businesses across the globe are looking for ways to use AI for vaccine research and identification.

End of life care

With every decade, people’s lifespans have increased, and AI is poised to increase that even further. Conditions such as dementia and osteoporosis are common health issues faced by the elderly. AI models, coupled with a humanoid design, can interact with people suffering from such issues, to keep themselves distracted, and their minds active.

Conclusion

The healthcare field, as displayed, is filled with AI/ML use cases. New generation AI tools, and models, are helping doctors understand their patients’ conditions better, and provide advanced treatment solutions. While implementation still has a long way to go, AI in healthcare has started on the right footing; with technology that promotes quality diagnoses and maintains the importance of medical professionals.

The future of medicine is here, with AI paving its path.

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Bridged is striving to improve the efficiency of clients in the artificial intelligence sector through the use of training data powered by human intel. Since 2018, Bridged has delivered 50M+ datasets by deploying its 13,000+ Bridged-qualified crowd-force.

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