Nothing seems more exciting to me than the idea that a machine—a representation of human knowledge—might advance to a point where it could compete with humans. With the advent of self-driving cars, Google’s Alpha Go, and the famed chess match, technology is putting people in an end-to-end competitive environment. There is hardly an area that is unaffected by machines these days due to the quick development of automation and technology. The medical field is one such area.
Every day, the number of people who are worried about their health rises. Society is becoming more health conscious, as seen even by consumer trends. People are worried about their health, whether they are taking gym classes, running, or even just taking an early morning stroll in the park. Given that one’s health is among the most significant parts of one’s life, why shouldn’t it be?
But what if someone becomes ill and needs medical attention? Answer? Let’s visit a hospital or have a medical consultation. Nonetheless, the fact that there is a dearth of competent physicians cannot be denied. Even a Google search for “lack of doctors” yields a variety of reports from various nations. Lack of access to surgery or anesthesia was cited as the cause of 32% of fatalities globally and 27% of deaths in India. Because there are either too few doctors or too many patients, nobody should have to suffer or be unable to receive treatment. We require both a system to assist in decision-making and a system to automate different operations. Thus, AI software development services play a crucial role in augmenting healthcare accessibility by creating innovative solutions to bridge the gap between medical expertise and patient care.
How does AI help?
1. Chatbots
Many times, a patient doesn’t really need comprehensive medical care—just guidance or support on how to handle his issue. Many times, people choose to ignore symptoms that could indicate a serious illness, while others rush to the doctor out of anxiety or uncertainty when they even have a cold. While the Internet can be a useful information source, it can be challenging to locate trustworthy sources. Furthermore, people typically don’t obtain guidance tailored to their circumstances based on their previous and current circumstances. Users can save a great deal of time and receive guidance from personal assistants on the next course of action by getting information about what to do depending on the questions they ask.
Based on the questions you ask them during a discussion, chatbots might offer you answers to your problems. The long, short-term memory cells can be used to implement them. One kind of recurrent neural network that can learn long-term dependencies is called an LSTM network. Here, “long term dependency” refers to the bot’s ability to respond to your inquiries by drawing on prior exchanges.
2. Design Treatment Plans
If one is interested in learning more, there is an endless supply of medical documents, histories, and records. This information, which is frequently referred to as “big data,” can be used to identify the nature of the issue and its remedy in order to create a treatment plan. It can identify the illness and possibly offer a treatment based on the patient’s information. For instance, Google’s Deepmind Project collects medical data to improve patient outcomes.
Using deep learning, we may create a system that is similar in that it uses several hidden layers to look for similarities in the medical records of patients and stored medical databases, then makes recommendations based on those patterns. In a research study, Google describes how it developed a system to identify diabetic eye problems.
3. The Search for Drugs
You know how much money and time it takes to create a new pharmaceutical drug. A total of $2.6 billion and 12 years What if your machines—instead of test tubes—could save all this enormous waste of time and money? Deep learning can also be used to create environments in labs for testing or to create novel medications. For instance, Atomwise employs AI to speed up the search for new drugs to treat conditions including leukemia, multiple sclerosis, and ebola.
4. Robot
When the term artificial intelligence is brought up, most people immediately think of robots. Even if artificial intelligence is much more than that, the healthcare sector also extensively utilizes robots, employing advanced technologies such as custom healthcare software development.
Robots are utilized in Belgian hospitals to greet visitors and respond to their emotions. It might also be applied as a geriatric and pediatric department support tool.
By helping patients enhance their quality of life, therapeutic robots lessen the need for social services.
Robotic surgery helps physicians treat patients more precisely, with less blood loss, with less discomfort, etc. In addition, it guarantees faster healing than conventional techniques. It eliminates the chance of tissue damage and gives medical professionals the ability to do remote surgery.
When robots clean rooms, virus-selecting hospital-acquired diseases are becoming less fatal.
5. AI Health Coach
AI health coaches employ state-of-the-art technology to offer personalized health advice and support, much like personal assistants do. They assist individuals in reaching their health objectives by providing advice on medication administration, exercise, and diet. They can be reached via voice assistants, chatbots, or smartphone apps, and they’re quite adept at figuring out what you need!
Additionally, AI health coaches provide individualized, reasonably priced care, which is particularly helpful for those who live in rural or underdeveloped areas. By taking care of regular duties like reminding patients to take their meds and responding to frequently asked health queries, they help reduce the strain on medical professionals.
The capacity of these AI health coaches to analyze enormous volumes of health-related data, including biometrics, lifestyle choices, and medical records, is one of their most impressive qualities. Because of this, they are able to offer individualized guidance and assistance. They are also able to recognize the early indicators of chronic illnesses and promote prompt medical intervention. Better health outcomes and less stress on healthcare systems can result from this proactive approach to healthcare.
Thus, you can have proactive health management, tailored assistance, and useful guidance at your fingertips with AI health coaches!
6. Image Interpretation
Radiologists need a lot of time and experience to analyze medical pictures such as X-rays, CT scans, and MRIs in typical radiology procedures. But the procedure has changed with the advent of AI-powered radiological technologies.
Let’s use a hospital network as an example that has integrated an AI-based platform into its ecosystem. The AI system can reliably identify patterns linked to a range of medical disorders since it has been trained on a large dataset of medical photos.
The artificial intelligence solution is used to evaluate the chest X-ray when a patient arrives at the hospital with a suspected lung problem. The radiologist receives a preliminary report from the AI system in a matter of seconds, which highlights probable abnormalities and areas of interest. After that, the radiologist might concentrate on these particular areas for additional assessment. Based on its analysis of the X-ray image, it can also make recommendations for potential diagnoses, offering insightful information to help the radiologist quickly and accurately make a diagnosis.
This AI-powered radiology system has significantly improved the hospital’s workflow and efficiency. Radiologists can review more cases in less time by cutting down on the amount of time needed for preliminary analysis. This not only expedites diagnosis times but also enables the hospital to properly utilize its resources by taking in more patients.
Furthermore, the hospital’s diagnostic precision has increased due to the AI system’s accuracy in identifying problems. The hospital can give patients more accurate and quick diagnoses, improving treatment outcomes and patient satisfaction by reducing human error and oversight.
7. Accessory Devices
Often known as wearables, wearable healthcare technology is a collection of smart electronic gadgets intended to track and enhance individual health. Individuals wear these devices, which collect and analyze health-related data using a combination of hardware, software, and mobile applications, including hospital management software. After that, the data is sent to the cloud for additional analysis, allowing people to take proactive steps to control their health and obtain insightful knowledge about their well-being.
Let’s look at some actual wearable technology examples:
Fitness Trackers: Well-known wearable technology examples are fitness trackers from Fitbit and Garmin. Wearable on the wrist, these clever gadgets track your steps done, distance traveled, calories burned, and even sleep patterns using sensors. They work in tandem with smartphone apps to provide you with a complete picture of your fitness development.
Health-related Features on Smartwatches: Contemporary smartwatches, like the Samsung Galaxy Watch and Apple Watch, have developed into capable health partners in addition to being timepieces. These wearables, which come with heart rate sensors, ECG functions, and blood oxygen monitors, can notify you of possible health problems and offer real-time data for improved health management.
Continuous Glucose Monitors (CGMs): CGMs are revolutionary for people with diabetes. These wearable devices use tiny sensors to measure the glucose levels in the interstitial fluid beneath the skin. They offer constant data, which makes it possible to better manage diabetes and lessen the frequency of finger pricks.
Sleep Tracking Devices: WHOOP and Oura Ring are wearables that measure your sleep patterns. Sleep is crucial for general wellness. They give you information about the length, quality, and disruptions of your sleep, enabling you to modify your way of living for improved sleep.
Looking for Improved Patient Results
AI is already being utilized in the medical field, and the results are encouraging. It is undeniable that utilizing AI shortens the amount of time and effort needed to treat a patient. If the doctor had help, it would save him a lot of time and free him up to concentrate on other crucial duties. Given the rapid advancements in technology, it would be impolite to ignore the promising future.
