Key Takeaway
- AI can be used for medical imaging, drug discovery, electronic health records, clinical decision support, virtual assistants, disease prediction, and more.
- AI in medical imaging can help doctors identify potential issues such as tumors, masses, or abnormal growths.
- AI can provide personalized treatment recommendations for patients with chronic diseases such as diabetes, helping them achieve better glycemic control and reduce the risk of complications.
- AI algorithms can analyze patient data to predict the likelihood of developing complications such as diabetic retinopathy or neuropathy.
The AI-driven healthcare market is seeing rapid and sustained expansion, with great prospects for annual growth. According to a Mordor Intelligence analysis, the value of artificial intelligence in the global healthcare business is expected to reach a CAGR of 39.8% by 2027.
Currently, artificial intelligence is practically everywhere and represents a real milestone for many industries, including the healthcare sector. Although some speculators are critical of the idea that doctors would be replaced by computers, AI clearly lends a helping hand to medical professionals in terms of data analytics and administrative work.
Healthcare AI development firms use AI algorithms to make sense of the massive amounts of data, which not only saves vulnerable humans time and effort but also improves the process.
In traditional healthcare settings, the diagnosis of diseases often occurs only when a patient presents with symptoms. However, by using AI algorithms to analyze patient data, healthcare professionals can identify patients at risk for certain conditions before symptoms appear.
This can lead to earlier diagnosis, more effective treatment, and better patient outcomes. In this blog post, we’ll explore the top 7 real-world examples of AI in healthcare.
1. Linus Health
Linus Health is an AI-powered healthcare app that provides patients with personalized health advice and connects them with healthcare professionals. The app uses artificial intelligence to analyze patient data, including medical history, lifestyle factors, and symptoms, to provide personalized health advice and recommendations for follow-up care.
Linus Health’s AI algorithms analyze patient data to identify potential health risks and provide recommendations for treatment and follow-up care. The app also provides patients with access to a team of healthcare professionals, including doctors, nurses, and care coordinators, who can provide support and guidance on managing their conditions.
Offering patients individualized health advice is one of Linus Health’ primary advantages. The app can offer suggestions for nutrition and exercise, as well as advice for managing chronic illnesses like diabetes and hypertension, by analyzing patient data.
In addition, Linus Health provides telemedicine solutions that let patients communicate with medical experts via video consultation. Patients who live in remote places or have mobility challenges may find this to be very helpful because it enables them to obtain healthcare services from the convenience of their own homes.
2. Viz.ai’s
Viz.ai is an AI-powered healthcare app that is focused on improving stroke care. The app uses artificial intelligence to analyze CT scans of stroke patients and identify potential blockages in the brain’s blood vessels. By providing automated and immediate detection of stroke, Viz.ai aims to speed up the treatment process and improve patient outcomes.
The AI algorithms at Viz.ai analyze CT scans in real time, detecting potential blockages in the brain’s blood arteries. The app then sends an automated alert to the stroke team, which includes a neurologist and an interventional radiologist, so that they may study the CT scan and decide on the best course of action.
This automated technique has the potential to improve patient outcomes and lower the risk of long-term disability by reducing the time it takes to detect and treat stroke.
One of the most important advantages of Viz.ai is its capacity to give quick and precise stroke diagnosis. The app can assist healthcare personnel identify stroke patients more rapidly and give appropriate therapy by automating the process of stroke identification. This has the potential to lower the likelihood of long-term disability and enhance patient outcomes.
Viz.ai is also being used to develop new treatments for stroke. The app’s AI algorithms can analyze large volumes of stroke data, identifying patterns and trends that can help researchers to develop new therapies and personalized treatment plans.
3. PathAI
PathAI is an AI-driven healthcare app with a primary focus on enhancing the precision and speed with which cancer is diagnosed. By applying deep learning algorithms to digital pathology images, the program helps doctors make more precise diagnoses of cancer.
High-resolution photos of malignant tissue samples are analyzed by PathAI’s AI algorithms, which then identify and quantify cancer cells, tumor margins, and other properties. The app can aid in a more precise diagnosis of cancer, staging of the disease, and individual treatment programs for patients.
PathAI’s capacity to lessen pathologists’ burden and improve their accuracy in making diagnoses is one of its most valuable features. The app can help pathologists identify cancer faster and more precisely by automating the process of analyzing digital pathology images, thus reducing the chance of misdiagnosis and improving patient outcomes.
4. Regard
Regard is a healthcare software driven by AI that offers patients with chronic diseases virtual monitoring and care management. The app’s goal is to improve patient health condition management and decrease the frequency of hospital visits.
To deliver individualized health advise and alerts about potential health concerns, Regard’s AI system analyses patient data, including vital signs, medication adherence, and lifestyle factors. The software also gives users access to a team of medical experts, including doctors, nurses, and care coordinators, who can help them manage their ailments and offer support.
Regard’s ability to monitor users remotely is one of its standout features. Using connected devices, patients can use the app to monitor their vital indicators like blood pressure, blood glucose levels, and weight. The AI system used by Regard receives this data and uses it to identify potential health issues and make recommendations for further treatment.
Regard provides care coordination, medication administration, and support for patients and their families among its other care management services. Through the app, patients have access to a group of medical specialists who can offer individualized support and advice on managing their ailments.
5. Buoy Health
The Buoy Health app uses artificial intelligence to provide users with personalized health recommendations and symptom identification support. The software analyses the user’s input with an AI algorithm, then suggests solutions ranging from self-care to home cures to professional medical intervention.
The artificial intelligence (AI) behind Buoy Health takes in information including a user’s symptoms, medical history, and lifestyle choices, then generates a list of diagnoses and treatment options. The software can alert users to potential dangers to their health and offer advice on how to deal with existing problems.
The capacity to tailor health recommendations is a major strength of Buoy Health. The software analyses user input to make dietary and exercise suggestions, as well as help with controlling chronic diseases like diabetes and hypertension. The software can also advise users on local medical professionals and help them decide if their symptoms need an emergency room visit.
Buoy Health also provides telemedicine services, linking patients with doctors through video calls. Users in outlying areas or with mobility challenges can benefit greatly from this because they no longer have to leave the house to receive medical care.
6. Ada
Ada is a provider of healthcare technology that employs artificial intelligence (AI) to give patients individualized healthcare recommendations and guidance.
Utilizing machine learning algorithms, the platform analyzes patient symptoms and offers individualized care suggestions, including guidance on whether to seek medical help or opt for self-care measures. The platform is made to assist patients in comprehending their symptoms, locating the best treatment, and enhancing their general health outcomes.
Ada’s platform can be accessed by a mobile app or a web chatbot. Patients can submit their symptoms into the chatbot and get individualized recommendations using natural language processing (NLP) techniques. The software also takes into account additional factors like age, gender, and medical history to produce recommendations that are more trustworthy.
7. Sensely
Conclusion
These are just a few examples of the many ways that AI is transforming healthcare. As AI technology continues to improve and become more widely adopted, we can expect to see even more exciting advancements in the years to come, such as with ChatGPT AI in healthcare.
Ultimately, AI has the potential to improve patient outcomes, reduce costs, and revolutionize the healthcare industry as we know it.
Healthcare software developer Arkenea offers AI-powered apps for medical practices. It has a track record of providing its customers with superior AI software. Get in touch with us to learn more.