why do we need Artificial Intelligence in medicals
artificial intelligence
The complexity of the human body system, ways of action and ability to work perfectly and efficiently can not be analyzed physically by the first-ever moving computer( The brain), despite it is a complex organ that controls thought, memory, emotion, touch, motor skills, actions, vision, breathing, temperature, hunger and every process that regulates our body. Together, the brain and spinal cord that extend from it make up the central nervous system (CNS). Intelligence started with the existence of humans on earth. Artificial Intelligence.
Now despite the fact that human intelligence is the first-ever moving computer invented, man’s intelligence still lacks the ability to detect problems and create solutions confronting the medical health of his existence. The idea of inanimate objects coming to life as intelligent beings have been around for a long time. The ancient Greeks had myths about robots, and Chinese and Egyptian engineers built automatons. The beginnings of modern AI can be traced to classical philosophers’ attempts to describe human thinking as a symbolic system. But the field of AI wasn’t formally founded until 1956, at a conference at Dartmouth College, in Hanover, New Hampshire, where the term “artificial intelligence” was coined.
Artificial intelligence (AI) serves so much purpose there are different types of artificial intelligence that serve different needs in society at large, but in this context, we will discuss the importance of artificial intelligence( AI ) in medicine and their distinctive differences.
What is artificial intelligence( AI)
To make it easy and simple, Artificial intelligence is a data science technology and engineering that focuses on building intelligent machines that can learn and perform a wiled range of tasks similar to humans with the aid of computer programing systems. The AI is a simulation of human intelligence processed by machines to give an excellent result in the medical field as it is expected to. This technology is influencing consumer products and has led to significant breakthroughs in medical healthcare and physics as well as altered industries in diverse ways of manufacturing, finance, and retail. In part due to the tremendous amount of data we generate every day and the computing power available, artificial intelligence has exploded in recent years into computer systems, robots, etc.
AI in medical healthcare
The term is used to describe the use of machine-learning algorithms and software performance as a simulation of human mental action in the analysis, presentation, and comprehension of complex medical and health problems. Artificial intelligence in medicals is Specifically designed for disease diagnosis and other infirmities associated with human health. AI is the ability of computer algorithms to approximate provide conclusions based solely on input data.
Artificial neural networks are used as clinical decision support systems for medical diagnoses, such as in concept processing technology in EMR software.
Other tasks in medicine that can potentially be performed by artificial intelligence and are beginning to be developed include Computer-aided interpretation of medical images. Such systems help scan digital images, e.g. from computed tomography, for typical appearances and to highlight conspicuous sections, such as possible diseases. A typical application is the detection of a tumor.
- Heart sound analysis
- Mining medical records to provide more useful information.
- Design treatment plans.
- Assist in repetitive jobs including medication management.
- Assisting blind people.
- Provide consultations.
- Drug creation.
- Using avatars in place of patients for clinical training.
- Predict the likelihood of death from surgical procedures
- Predict HIV progression.
Different between human intelligence vs artificial intelligence
What differentiates AI technology from the human traditional intelligence in the medical field is the ability to gather complex and multiple data, process it and give a well-defined output to the end-user. AI can simply get it done through the machine learning process, reasoning, and self-correction process. These algorithms can recognize patterns in behavior and create their own logic in few minutes. To gain useful insights and predictions, machine learning models must be trained using extensive amounts of input data. AI algorithms behave differently from humans in two ways:
Human intelligence
- Human intelligence is naturally slow to processing data.
- Human intelligence learn from the various incident and past experience
- Human intelligence has the ability to reason.
- Human intelligence uses the brain’s computing power, memory, and a wide horizon of thinking capacity.
- Human intelligence has limited storage capacity.
- Human intelligence exhibit weakness when stressed out there by giving wrong information.
- The human brain as a center of intelligence is analogous
Artificial intelligence
- Artificial intelligence (AI) is digital.
- Algorithms are literal: once a goal is set, the algorithm learns exclusively from the input data and can only understand what it has been programmed to do.
- Some deep learning algorithms are black boxes algorithms that can predict with extreme precision but offer little to no comprehensible explanation to the logic behind its decisions aside from the data and type of algorithm used.
- The artificial intelligence machine relies on data and specific instructions fed into its system.
- AI can accumulate multiple and complex data with a perfect result outcome.
- Artificial Intelligence does not understand the cause and effect of its action simply because they lack common sense. Nick Burns, an SQL Services Data Scientist, puts it quite well: “No matter how good your models are, they are only as good as your data..”
The Specific applications of AI include expert systems, natural language processing, speech recognition, and machine vision. AI programming for AI focuses on three cognitive skills: learning, reasoning, and self-correction.
Learning processes. This aspect of AI programming focuses on acquiring
data and creating rules for how to turn the data into actionable information.
The rules, which are called algorithms, provide computing devices with step-by-step instructions for how to complete a specific task
Reasoning processes. This aspect of AI programming focuses on choosing the right algorithm to reach the desired outcome.
Self-correction processes. This aspect of AI programming is designed to continually fine-tune algorithms and ensure they provide the most accurate results possible.
Uses in the medical healthcare sector
Radiology
- AI is being studied within the radiology field to detect and diagnose diseases within patients through Computerized Tomography (CT) and Magnetic Resonance (MR) Imaging. Through imaging in oncology, AI has been able to serve well for detecting abnormalities and monitoring change over time; two key factors in oncological health.
Telemedicine
- The increase of telemedicine has helped immensely in the treatment of patients effectively which has shown the rise of possible AI applications in the healthcare sector, thereby improving human life for the better. AI can also assist in caring for patients remotely by monitoring through sensors.
Dermatology
- This is a machine used by dermatologists to classify skin cancer from lesion images. AI demonstrated a convolutional neural network that achieved 94% accuracy at identifying skin cells from microscopic images.
Psychiatry
- The psychiatry sector in medicals also makes use of the AI applications which are still in a phase of proof-of-concept, to show Areas where the evidence is widening quickly, and able to detect conversational agents that imitate human behavior which has been set to study for anxiety and depression through the chatbots.
Electronic health records
- Electronic health records (EHR) are crucial to the digitalization and information spread of the healthcare industry. Now that around 80% of medical practices use EHR, the next step is to use artificial intelligence to interpret the records and provide new information to physicians.
Importance of artificial intelligence in medical
AI is important because it can give medical practitioners insights before carrying out their operations that they may not have been aware of previously and because, in some cases, AI can perform tasks better than humans. Particularly when it comes to repetitive, detail-oriented tasks like analyzing complicated health problems to ensure relevant and accurate results the AI is the best alternative required for such tasks to avoid mistakes and loss of life. Let’s show you the importance of AI in the medical healthcare sector
- AI tools often complete jobs quickly and with relatively few errors or no errors.
- This has helped fuel an explosion of efficiency and opened the door to entirely new business opportunities for some larger enterprises.
- It would have been hard to imagine using computer software to connect riders of taxis for an emergency to rush a patient to the hospital, but today Uber has become one of the largest companies in the world by using AI.
- Artificial intelligence in the medical healthcare system has proven useful in predicting and detecting cancers as related to human problems.
- It utilizes sophisticated machine learning algorithms to predict when people are potentially sick which helps proactively get doctors to know what exactly to treat.
- As another example, Google has become one of the largest players for a range of online services by using machine learning to understand how people use their services and then improving them.
Frequently asked questions (FAQs)
Questions
1.Can AI save a life?
Answer
Artificial intelligence does not save a life but rather helps to identify the source of the problem in the body system of a patient.
Question
2.How many types of AI do we have?
Answer
We have 3 types namely
Narrow or weak AI, general or strong AI, and artificial superintelligence. We have currently only achieved narrow AI.
- Where can I buy AI for medical use?
Answer
Excellent performance for your medical or industrial artificial intelligence in Nigeria is provided to you by rovich diagnostics services we provide you all medical and industrial artificial intelligence suitable for all work that requires the assistance of AI.
- What is the side effect of AI on the human system?
Answer
AI as a technology has a few side effects when used on regular basis. This is as a result of its high level of radiation which is unhealthy to the human body system.
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It might be easier to state what part of our modern society artificial intelligence (AI) hasn’t touched to show how important it is to our daily lives, business operations, and society. Intelligence machines are influencing nearly every facet of our lives to help improve efficiencies and augment our human capabilities. AI is so intertwined in all that we do; it’s hard to imagine living life without it.
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