The advancement of technology and medicine

In addition to artificial intelligence or AI, it is used in various fields. Especially in industries where there is a large amount of data that artificial intelligence can understand quickly. Recently, AI is being used in matters close to home. like a matter of health and medicine is unavoidable. 

Currently, AI technology is widely used in a group of technologies developed for integrated health care called HealthTech. including innovations in health examinations, treatments, and finances related to health care. HealthTech Startup, a business circle that has just emerged recently but there are investments worth billions of dollars per year. and is trending upwards

Medical development is continuously advancing. The amount of information is increasing more and more. Whether from research and evidence collection, which as HealthTech has developed more Medical information tends to increase exponentially. Including collecting data at the DNA level.

The examples of HealthTech

Google Health

An example of the latest HealthTech development using AI is Google, the world’s largest IT company. Developed a way to report heart disease results using eye scans. which has detailed examination results including blood pressure, age, and even smoking habits. This makes it possible to report nearly complete health results related to heart disease without having to draw blood. It clearly helps reduce the steps and costs of testing. In addition, Google has also designed a pocket-sized AI diagnostic tool for remote areas. Through Cloud technology.

SigTuple

a startup from India, designs a compact disease diagnosis tool that connects the internet to AI. Doctors just need to take blood or secretions from the patient’s body into the testing machine. The machine will capture the internal details of the substance. Then send the data to AI for analysis. When the AI ​​is finished analyzing, the results will be sent back to the doctor. If it is found that a lot of treatment equipment is required, the AI ​​will notify the major hospital to come and receive the patient. Ready to send preliminary diagnostic results immediately. The entire process only takes about 5 minutes.

Babylon Health

In addition to diagnosing complex diseases or emergency illnesses, AI also plays a role in taking care of humans in their daily lives. Currently, many startups are developing chatbots that answer questions to diagnose diseases in the first place, such as Babylon Health from England and Ada Health from Thailand. Germany has created a platform for basic disease diagnosis using AI combined with Teleme- dicine where users can receive basic symptom questions, then AI will analyze whether they should see a doctor or not. If you need to see it, you can Video Call the doctor immediately.

Google DeepMind

AI can diagnose eye diseases: Google DeepMind, in collaboration with Moorfields Eye Hospital in London, diagnosed two major diseases that cause vision loss: diabetes and age-related macular degeneration (AMD), which is The disease affects approximately 625,000 people in the UK and more than 100 million people around the world. Google DeepMind says that if the technology is used to assess disease conditions, it could help reduce the rate of vision loss in people with the condition. The risk of this disease can be reduced by more than 50%.

Developing for use in drug development

AI is also being developed for use in drug development. It relies on the ability to scan data at a very fast rate, which is beyond human ability. Even more amazing is the use of AI in the brain scanning system to decipher the time it takes for humans to recover from a coma. It was found that AI Can predict with almost 90% accuracy.

MindStrong

Dr. Thomas R. LC, founder of California-based company MindStrong, uses AI to analyze depression. and other mental disorders of humans using smartphones and found that AI can detect signs of depression by accurately analyzing data from tapping, scrolling, and clicking on human smartphones.

iFlyTek

Finally, a robot doctor tested an AI robot called iFlyTek Smart Doctor Assistant to recognize the contents of dozens of medical textbooks, 2 million medical records, and 400,000 articles, and then gave it a test to obtain a license to practice medicine. It appeared that the AI Scored 456 points, while humans scored only 360 points.

Pros and Cons of HealthTech

PROS	CONS
Improved Access to Healthcare HealthTech can break down geographical barriers and provide healthcare services to remote or underserved areas through telemedicine and remote monitoring technologies.	Privacy and Security Concerns HealthTech involves the collection and storage of sensitive patient data, raising concerns about privacy breaches and unauthorized access if proper security measures are not in place.
Efficiency HealthTech solutions streamline administrative tasks, reduce paperwork, and automate processes, allowing healthcare professionals to focus more on patient care.	Cost Implementing HealthTech solutions can be expensive, especially for smaller healthcare facilities or resource-constrained regions, potentially exacerbating healthcare disparities.
Enhanced Patient Care Technologies such as wearables, health apps, and remote monitoring devices enable individuals to actively manage their health, leading to better health outcomes and preventive care.	Digital Divide Access to HealthTech tools may be limited by socioeconomic factors, literacy levels, or technological infrastructure, widening the gap between those who can afford and benefit from these technologies and those who cannot.
Data-driven Decision Making HealthTech leverages big data analytics to provide insights into patient populations, disease trends, and treatment outcomes, facilitating evidence-based decision-making for healthcare providers and policymakers.	Reliability and Accuracy The accuracy and reliability of health-related apps, wearables, and remote monitoring devices vary widely, raising questions about their effectiveness and potential risks if relied upon for critical healthcare decisions.
Personalized Medicine Advances in HealthTech enable personalized treatment plans based on individual genetic makeup, lifestyle factors, and health data, leading to more effective and targeted interventions.	Ethical Issues HealthTech raises ethical dilemmas regarding issues such as data ownership, informed consent, algorithm biases, and the potential for discrimination in healthcare delivery.

The future of HealthTech

The convergence of artificial intelligence (AI) and health technology (Healthtech) is poised to revolutionize healthcare in profound ways. Through advanced algorithms and data analytics, AI offers unprecedented opportunities to enhance medical diagnosis, treatment, and patient care.

One of the most promising areas is precision medicine, where AI can analyze vast datasets to tailor treatments to individual patients, potentially saving lives and reducing healthcare costs. Additionally, AI-driven drug discovery accelerates the development of new therapies, addressing unmet medical needs more efficiently.

In medical imaging, AI algorithms aid in the early detection and diagnosis of diseases, improving patient outcomes and reducing the burden on healthcare systems. Telemedicine platforms powered by AI enable remote consultations, increasing access to healthcare services, particularly in underserved areas.

Furthermore, AI optimizes healthcare operations and management, streamlining processes, and improving efficiency. Personalized healthcare driven by AI provides tailored treatment plans, while chatbots and virtual assistants enhance patient engagement and accessibility to medical information.

Robotic technology integrated with AI assists in surgeries and patient care, enhancing precision and reducing the risk of errors. Despite these advancements, challenges such as data privacy, ethical concerns, and regulatory frameworks must be addressed to ensure responsible AI deployment in healthcare.

In conclusion, the future of AI and HealthTech holds immense promise, with the potential to transform healthcare delivery, improve patient outcomes, and reduce costs. By harnessing the power of AI responsibly, we can create a healthier and more equitable future for all.

“In 10 years the electronic medical record will be the minor player, in terms of where a person’s health history lives. Most of that information will be kept on the phone or in a secure cloud, and the patient will be highly engaged with collecting, curating and sharing that data. Most doctor visits will be like calling up a YouTube meets virtual human docs and there will also be an aspect of virtual reality.”

– Leslie Saxon