AI in Healthcare: 2023 brought artificial intelligence to new heights. With immense advancements, it has integrated into several sectors, including healthcare, defense, customer service, and more.
AI is being implemented in the healthcare sector by a few companies and startups.
It is used to carry out simple tasks like data entry, appointment scheduling, and medical record management, as well as complex tasks like disease diagnosis, treatment planning, and medical imaging.
As important as healthcare is for living, it is one of the most broken sectors in the world (except a handful of countries).
Healthcare, as a whole, needs to be reworked for better accessibility, affordability, and effectiveness. AI can transform this sector.
How are AI technologies and applications used in healthcare?
AI technologies are used in healthcare and have different applications. Here are some of the ways it is being integrated in healthcare:
- Drug Development: AI helps speed up finding new medicines by looking through huge amounts of data, guessing the characteristics of drugs, and modeling how they work to make the research go faster.
- Personalized Treatment: BY examining each patient’s data, which includes genetic details, way of life choices, and past medical events, AI programs develop tailored treatment strategies that improve results and minimize adverse reactions.
- Early Diagnosis: AI programs are good at detecting illnesses better than humans by using medical pictures, helping to find diseases quickly and accurately which can help patients get better results.
- Predictive Analysis: Artificial intelligence tools accurately guess what is going to happen to the patients, which allows doctors to act early, create care plans that fit each person, and decide where resources should be used.
- Surgical Assistance: Automated robots help doctors in surgery by making the work more exact and less harmful, which could improve results after the operation and shorten healing time.
- Virtual health assistants: Powered by AI technology, they give tailored medical guidance to people. They respond to health questions, arrange times for doctor visits, and help patients more. This makes it easier to get healthcare services and helps patients be more involved in their care.
Medical imaging is another one of the areas where AI is being used.
Automated programs are used for reviewing images such as X-rays, MRI scans, and CT pictures.
They can find problems or likely sickness in these photos fast and with precision, helping doctors who specialize in radiology to diagnose patients.
Artificial intelligence can detect tumors, bone breaks, or unusual findings in medical images.
This increases how fast and precise diagnoses are made, which can result in improved health results for patients.
A great example of AI integration into healthcare is Linus Health. This digital health company focuses on transforming brain health through the development of an early detection system for cognitive tests.
They have turned the traditional pen-and-paper clock drawing test into a digital format with their unique DCTclock technology.
This tool uses advances in neuroscience and artificial intelligence to evaluate more than 50 measures that show how well the patient’s brain is working.
Future of AI in Healthcare
The future of Artificial Intelligence in healthcare seems bright.
It has the potential to change patient care and the treatment process.
AI automation can help with office work, so staff have more time to spend with patients.
Virtual nurse helpers are useful for responding to questions, sending out reports, and arranging appointments, which makes less work for the clinic team.
According to Syneos Health Communications, “64 percent of patients reported they would be comfortable with AI virtual nurse assistants“
To make surgeries less intrusive, AI robots can be used, which will result in fewer risks and complications.
They can also improve patient experience by improving communication tools.
The potential for diagnosis, which research has confirmed, shows that AI is adept at predicting risks and finding diseases, even better than humans.
With the help of AI, managing information can be made easier, which is good for treating diseases and keeping drugs safe.
It works in creating new ways to watch over drug safety, finding drugs that don’t cost too much money, and making models that can predict things.
This changes how well healthcare systems work and keeps people safe.
AI Companies and Startups in Healthcare Segment
Initially apprehensive, medical companies are now embracing AI and its technologies to improve healthcare. Here are the top companies and startups that use AI in health:
- Arterys: This FDA-cleared health tech company simplifies diagnoses of heart defects and automates measurements for conditions such as cancer and liver diseases.
- Butterfly Network: It innovated a handheld whole-body imager, seamlessly pairing it with smartphones, enabling affordable and accurate medical imaging in remote areas.
- Caption Health: They have equipped ultrasound technology with artificial intelligence and made it accessible to clinicians. This guarantees precise imaging and interpretation.
- This digital healthcare company employs artificial intelligence in the analysis of coronary CT angiography (CCTA) images. It directly measures plaque within the heart’s arteries, enhancing early-stage heart disease.
The Bottom Line
AI is continuously evolving, and it is expected to completely transform the field of healthcare. As the technology gets better, AI tools will help in making better diagnoses, improving efficiency, detecting diseases early, and ultimately saving people’s lives.
AI technologies are used in healthcare and have different applications, like creating new medicines, tailoring treatment to individual patients, and early diagnosis.
The future of AI in healthcare is revolutionary. From improving patient care to improving diagnostics and drug safety, it will redefine healthcare systems, optimizing treatments and ensuring safety, ultimately enhancing the patient experience.
AI reduces healthcare costs by making procedures more efficient and lessening the necessity for humans to be involved. It can analyze data, schedule appointments, reduce resource uses, and identify cost-effective options.