As technology evolves, especially in the field of Artificial Intelligence, its dominance is pervading in every industry rapidly like never before and is becoming increasingly popular and valuable daily. With the use of AI, numerous autonomous applications are created to make human life and task easy. In addition, researchers are working tirelessly around the clock to make this technology more potent in the Medical Industry to provide better medical treatments, accurate diagnoses, elevate service deliveries, and more. Machine learning models are used to implement AI in the medical sector, enabling the search of healthcare data for better patient experiences and improved health results. 

Decoding Medical AI

A massive amount of machine-learning datasets and several algorithms with extraordinary decision-making capabilities are used by artificial intelligence to provide hands-on solutions based on the user requirements in every sector. Hence, AI is an umbrella term to define the usages of machine-learning algorithms and datasets in the medical industry.  

AI delivers incredible solutions and values in medicine with its capabilities of thinking, learning, and making timely decisions. AI sets a goal of predicting a specific outcome in the medical industry by analyzing and acting on medical data with the help of machines. 

Medical diagnosis is one such example of AI in healthcare where it uses machine learning algorithms to analyze patient data and help doctors deliver a more accurate diagnosis and treatment plans. AI also plays a significant role in developing better preventive care recommendations for patients by analyzing big data and making the medical industry more predictive and accurate. Clinical decision support systems and imaging analysis are two subfields of the medical sector where AI works exceptionally well. Medical Imagining like CT scans, MRIs, X-rays, etc., are analyzed with the help of AI tools to secure every nano information that a medical provider might ignore. Clinical decision support systems are AI tools trained with high-class medical datasets and machine learning algorithms to help doctors treat patients by making firm decisions about mental health, medications, and treatment about patients.

Why Does AI in Medical Matters?

Whenever the conversation is about human health, the matter becomes critical as humans are the life of earth and the non-replaceable resources for a productive society. Including third parties (AI) in the medical sector can be a matter of life and death, so it should be very safe, secure, reliable, productive, and trustworthy. AI can assist doctors, nurses, and other healthcare workers in their daily work. As per the desires, AI becomes a reliable and accurate technique that helps medical providers with its precise diagnosis, implantable treatment plans, enhanced preventive care, and faster speed; it also proves beneficial in tracking infectious diseases. 

With the constant rise of COVID-19, the most affected sector is the medical industry, which faces numerous challenges in the screening and testing process of COVID patients. At the time of crisis, AI acts as a "lifesaver" and provides tools to monitor the health of patients and perform screening. In addition, AI Technology is continuously improving and playing a vital role in helping fight against the world pandemic COVID-19, which is not yet over as the new Omicron virus is spreading rapidly; overall, AI plays a crucial role in global health.

Common Medical AI Use Cases

Diagnostics assistance and medical imaging

Diagnosis and medical imaging are the most powerful and highly used applications of AI in the medical industry. They can identify minimal anomalies that are hard to detect with human eyes and recognize various anomalies to detect rare diseases that cost human life. For example, AI works flawlessly with medical imaging to visualize and detect malignancy and Diabetic Retinopathy (DR). AI works as a sleepless doctor and provides diagnostics assistance by constantly monitoring the patient's vital signs and alerting doctors with increased risk factors. With the help of medical imaging and vitals received from medical devices, AI can collect data, analyze and identify complex health factors. 

Virtual assistance in healthcare

Nowadays, every smartphone user is familiar with virtual assistants, whether an android user with google assistant or an iPhone user with Siri. Virtual assistants are the most famous use case of Artificial Intelligence, used to interact with humans more human-likely. AI-enabled Virtual assistants play a tremendous role in the medical sector by providing medication alerts, treatment advice, measuring mental health, delivering education materials, and many more. Virtual bots provide highly personalized assistance to make human life healthier. 

Drug creation

Drug discovery and creation are some of the most expensive parts of medicine management, and the reason is self-evident as it requires much time to research and test the drugs and much money for the sake of manual development. AI helps reduce the anonymous cost of research and development by handling a large amount of data required for drug discovery and research. An AI-powered program launched by Atomise in 2014 is the best example of drug discovery and cost reduction where AI found the medications to reduce the effect of the "Ebola virus" and save time and money for medical institutions. 

Research and advanced analytics

AI in "Research" provides fascinating insights as AI becomes more intelligent and understands humans more appropriately to provide personalized advice. To make precise decisions, AI depends upon the quality of medical data used to train machine learning models. Machines have become the most reliable part of our lives; likewise, doctors are also becoming addicted to machines, whether a heart-rate monitor, ECG machine, x-ray machine, or any other. But the machines do not always give correct data and require regular maintenance and repair. AI can take care of machines and help technicians with fault detection to avoid losing control during emergencies. Even acts as a digital surgeon assisting doctors with surgery by providing the necessary details about the surgery part. 

Role of Indika AI

Building any AI-powered medical system to help save lives, early detection of disease, and prevention requires a vast amount of high-quality data. Therefore, it is essential to have the perfect data partner, who understand the importance of such business requirements, embrace accountability, is flexible, and are equipped with the right people and tool to make every project an absolute success and on-time delivery. At Indika, we partner with several medical startups to provide data services for digital pathology, digital radiology, medical text & documents, behavioral health, and sports medicine projects. 

Our team of experts is very passionate about making a difference and being part of cutting-edge technology that helps to save lives. So give us a call today to learn more about how Indika can help!