As we all know how much Artificial Intelligence is impacting us in our day to day life. Healthcare is major sector to deploy AI. It generates millions of gigabyte of data, large amounts of money are spent on it for devlopment of AI in healthcare sector. There are ocean of opportunities to improve the quality of its products and services in healthcare by making machines more intelligent .
The Emergence of AI & its Significance
In 1950 Alas Turning publishes a research paper on topic Computing machines and Intelligence famously known as “Turing Test” .It was focused on possibility of machines can think .AI consisted of work that included logical reasoning for solving problems in mathematics and communicating in natural language.
Between 1980 and 1988, there was a rise in expert systems based on software technology that answered questions or solved problems about specific knowledge. Interest in AI declined until IBM’s Deep Blue, a chess-playing computer, defeated Russian grandmaster Garry Kasparov in 1997.It was the pathbreaking moment in AI Research. Since then, AI had many achievements came in very fast that include handwriting recognition, computer vision, autonomous vehicles, a pet robot, and humanoid robots.
Emergence of AI has lead to significant impact in our life.AI has many applications in various kind of of industries, including finance, transportation and healthcare. The use of A.I in Healthcare sector will change how the industry diagnoses and treats illnesses. AI has been applied to object, face, voice and handwriting recognition. We can do Object and face recognition using computer vision and handwriting using N.L.P(Natural Language Processing) .The application of A.I are in virtual reality and image processing, chatbots and translation; email spam filtering, robotics and data mining. According to record of marketing firm, the annual worldwide AI revenue will grow to $36.8 billion by 2025.
Role Of AI In Healthcare Sector
Virtual Health Assistant
Virtual Health Assistants can help patients in a number of ways. First one, can help dementia patients stay on track with their prescribed medications by sending reminders. Moreover, virtual health assistants may give advice on treatments for common medical conditions or provide recipes for patients with specific diet restrictions. Virtual Health Assistant can also monitor patients based on data, allow doctors to engage with patients and pharmacies .It will remind patients of prescription refills and pickups, and even recommend preventive health screenings.
Diagnosis
AI has been used to improve medical diagnosis. For example, AI aided medical image diagnosis from Los Angeles based artificial Intelligence company Voxel Cloud , is being used to improve reading CT scans and x-rays. The technology, which is used in hospitals in many devloped country, detect suspicious lesions and nodules in lung cancer patients. This allows doctors to provide patients with an early diagnosis as opposed to sending tissue samples to a lab for analysis,It took lot of less time thereby providing treatments earlier than usual. It also increases chance of curing from disease .
Researchers of top University have created an AI algorithm that can identify and diagnose skin cancer. This technology, using images of moles, rashes, and lesions, In future it will be available as a mobile app on smartphones as many startup are researching in this technology . Furthermore, because AI can analyze large volumes of data .It enables the detection of disease and helps with clinical decisions to improve effeciency and accuracy of treatment.
Healthcare BOTs
Bots in healthcare exist primarily for patient engagement. Healthcare bots, which are found in mobile healthcare apps, can help patients quickly and in real time simply by sending a message. Health chatbots can answer health related questions and even help patients in taking medications properly by providing information on types of medications and recommended the best medicines and its doses by analyzing patient reports.
Some advancements and research have been made in healthcare bots include there ability to
- Learn and mimic human conversations
- Detect emotions to enable interactive engagement with patients
- Incorporate Natural Language Processing, sentiment analysis into chat scripts for better communication with patient.
- Perform complex image recognition tasks to analyze hand written notes and barcodes of medicines.
Benefits of AI in Healthcare
Advancement in treatments
AI is leading to advancements in healthcare treatments, such as improving the organization of treatment plans, analyzing data to provide better treatment plans to patient and also monitoring treatments by analyzing patient reports . Artficial Intelligence has the ability to identify signs of disease in medical images, like MRI, CT scans, ultrasound and x-rays more accurately. Artificial Intelligence allows faster diagnostics reducing the time patients wait for a diagnosis from weeks to less than a hour and accelerating the option available for patient for treatment .
Reduce Costs
According to reports that AI has the potential to improve outcomes by 30- 40% and reduce the cost of treatment by as much as 50%. Improvements in precision and efficiency means fewer human errors, leading to a decrease in doctor visits it leads to lots of time saving of patient . Doctors are also able to get insights from data for patients who are at risk of certain diseases to prevent hospitalization of patient by poviding them adequate prevention methods . They are given specific medication and advisory to follow for prevention of disease .On a larger scale potential cost savings in AI applications in billions of dollars are:
Treatment Plans
The benefits of AI in healthcare sector is the ability to design treatment plans. Doctors can now search a database from large multinational companies , such as tool like Modernizing Medicine which is a medical assistant used to collect patient data . It record diagnoses, order tests and prescriptions and prepare billing information. Moreover, the capability to search public databases containing information from thousands of doctors and patient cases can help physicians administer to provide better personalized treatments to patient.
Risk Of AI in Healthcare
Injuries and error
The most obvious risk is that AI systems predict will be sometimes wrong and that patient injury ,damage of oragan or other healthcare problems may result . If an AI system would recommended the wrong medication for a patient would be disaster for them. If A.I fails to notice a tumor on a radiological scan, city scan the result would even cost the life of a man.
Errors related AI systems would be especially troubling people because they can impact so many patients at once because one wrong command or data has impact on whole AI Algorithm. In addition, patients and their family and friends are likely to not react well emotionally .If they find computer is the reason a significant mistake was made. In this modern era of providing health advices and medication online. It would not take long for the word to trust capability of A.I .
Data availability
The logistics related to the patient data needed to develop a legitimate AI algorithm can be a difficult task. Even if we just gathering all of the necessary data for a single patient can present various challenges for instance identifying similarities and differences. As i had explained, patients “typically see different providers and switch to different insurance companies who among is best , leading to data split in multiple systems and multiple formats.”
Privacy concerns
When you are collecting data from patients the privacy of those patient is very big concern for government . We need to protect it from cyber attacks. Researchers need to work so that patient data remains private, but there are always malicious hackers from different corners of world waiting in the wings to exploit mistakes. Even a massive company such as Google can experience problems related to patient data and privacy .It’s showing something everyone involved in AI must take seriously.
“AI could implicate privacy in another way. AI can predict private data about patients even though the algorithm never received that information by analyzing data and using machine learning model on dataset containing all history about patient.
Conclusion
A.I Is very beneficial in Healthcare sector if used accordingly to it’s potention .We have to use it’s resources properly without avoiding taking precautions . A. I is very powerful and In near future A. I will play a major role in our lifestyle and an ingredient used by us in improving our health. Hope you all understand that impact that Artificial Intelligence is creating on Healthcare sector.
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