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How AI In Healthcare Can Help Manage Massive Medical Challenges

How AI In Healthcare Can Help Manage Massive Medical Challenges
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AI in healthcare is revolutionizing the way doctors diagnose and treat you today. From remotely monitoring your vitals to making critical decisions, doctors leverage artificial intelligence at various stages of your treatment process.

Using advanced AI algorithms, medical professionals identify and suggest solutions for complex medical problems. Multiple use cases demonstrate the successful implementation of AI and machine learning (ML) for early diagnosis or treatment. For instance, with predictive analytics and AI, physicians can even evaluate whether an operation is necessary for you or not. They can suggest alternatives with lesser risks that will help you recover without coming under the scalpel.

Using AI for cancer detection is also growing steadily. Some software implements deep learning and ML techniques to detect signs of cancer early.  By feeding thousands of images and datasets, researchers train the algorithms to use deep learning and ML and aid in detecting and treating this life-threatening disease.

Artificial intelligence also plays a pivotal role in other aspects of the healthcare industry. Let us deep-dive to understand better.

Role of AI in Healthcare and Medical Fields

Apart from disease detection and patient records, artificial intelligence is also used in other medical processes. Here are some examples of AI in healthcare and medical fields.

Medical Diagnostics

Image recognition AI is enabling the early detection and prevention of many diseases. It uses billions of clinical diagnostics to map out complex patient journeys with great accuracy. This helps physicians make informed decisions regarding treatment or therapy for the patients.

Pain Management

This is still an emerging area as far as AI technology is concerned. Researchers reckon using AI with virtual reality can distract patients from their current source of pain. It also alleviates stress and anxiety in patients and helps them cope better. Hospitals in the US are using AI + VR to help patients visualize their treatment process and prepare them better for it.

Patient Experience

Another example of AI in healthcare can be the patient experience. In the process of giving care and medical treatment to the patients, hospitals often neglect patient’s experience with them. Hospital administration can automate several processes for patients based on their previous visits, so they spend less time waiting and more time with the doctor.

Clinical Trials

Clinical trials are generally managed offline without integrated solutions to track the process, gather data, or check drug trial outcomes. AI can automate and streamline several of these processes, offering a helping hand to the pharma industry. AI and ML are also used for target identification and drug repurposing.

Virtual Assistance

Dealing with a high volume of patients is challenging, especially for nurses who are responsible for checking patient vitals and providing care. Replacing nurses is not possible, but a good example of AI in healthcare can be a virtual assistant. Certain tech startups are creating AI nurse chatbots and smart assistants that monitor patients’ vitals regularly and alert clinicians. Patients can also clarify minor health queries on chat or get updates on their health conditions via smart assistants.

Machines and algorithms can’t replace healthcare professionals. However, they can assist and reduce redundant processes so clinicians can focus on patient caregiving better. The role of AI in healthcare is limited but significant.