Artificial Intelligence Tech

The Potential of Artificial Intelligence in Healthcare

Artificial Intelligence in Healthcare

In the millennial age, the growth of technology is steadily increasing at a geometric rate. Artificial Intelligence and machine learning put society at the cusp of another breakthrough. Artificial Intelligence is pushing the boundaries of possibilities for government, businesses, and services.

AI systems are providing exceptional results with tools such as task automation, big data analytics, and machine vision. AI systems can generate results that do not suffer from the effects and errors of human nature. Artificial Intelligence and machine learning have found various applications innumerous fields and industries. In healthcare, AI brings innumerable advantages to the quality and quantity of service provided.

In medicine, AI finds a vital place in disease diagnostics. By using machine learning, image recognition, and analysis to diagnose disease conditions, especially cancer cases. Artificial intelligence systems can also be used to speed up and standardized hospital records and to report. This would increase the rate at which patients are registered and prepared for treatments. It would also improve healthcare outcomes while complementing the efforts of medical personnel.

AI technology can be easily accessed by personal computers, smartphones, and smartwatches, to create an efficient monitoring and data transfer system. Studies have discovered that AI systems can be trained to provide services on par with that of a medical professional. This means that medical services can be offered to patients in areas that suffer a shortage of qualified doctors. This would also reduce the number of patients and professionals that need to be transferred long distances for proper diagnosis and treatments.

The Potential of Artificial Intelligence

AI provides numerous tools that would increase the efficiency of doctors and improve the outcome of treatment cases. Subsequent improvements and development to AI systems continue to reveal new features and areas where they could be appropriately applied. Below are some applications of AI in Medicine.

  • Standardizing Clinical Reports: One essential element that affects the effectiveness of treatment and patient outcome is a clinical report. Clinical reports tell the doctor what is wrong, prescribes medications, and the current state of the patient. AI can collect data from any source, properly categorize the data, and provide insight from the analysis.
  • Data Analysis and Insight: Artificial Intelligence can develop a proper reporting system. AI can be used to analyze both personal and general medical reports. Analysis can be used to detect trends previously overlooked, prepare the disease agencies for pandemics, and unique elements of an individual’s medical condition.
  • Treatment Analysis: AI can analyze information on a group of patients. By creating a dynamic relationship between different patients, AIs can develop an appropriate treatment strategy that would improve the treatment outcome of new patient cases.
  • Disease Diagnosis: AI can be trained on the accumulated medical data to detect and recognize disease conditions. AI’s image recognition would find significant application in cancer cases, x-rays, and eye defects. By providing accurate analysis and diagnosis of a disease condition, doctors can accurately prescribe the right treatment to the case study.

Statistics and Opinions
Many positive statistics are evidence of the advancements that AI brings to medicine. In different forms, AIs and robots have proved crucial additions.

In a study carried out on 14 different systems, it was discovered that AI systems were 87% accurate at detecting and correctly diagnosing disease conditions. Compare to the human expert average of 86%. The same study reported that AIs were 93% able to discharge a patient after analyzing the treatment outcome accurately. Compared to the human standard of 91%.

Another report from Mellanox studies showed that using AI robots for disinfecting hospital rooms leading to a 70% drop in hospital-acquired infections.

Two hospitals in Belgium were able to improve the organization of patients by employing AI systems.

The growth of AI in the surgical field is expected to double from $3.1 billion to $6.4 billion by 2020. Currently, AI systems have been used to make over 700,000 contacts in inaccessible areas.

AI robots have been able to accurately find the proper blood vein 83% of the time.

The government is taking AI tools seriously and investing in the development of tools for medicine. Earlier in the year, the government announced that £250 million had been released for the development of an NHS AI centre.

How the research was conducted

While are there is a lot of hype over the effectiveness and the potentials of AI systems. It should be noted that research carried out has been small. It is also possible that the results published are a bit biased. Various reports on the AI rave claims that AI systems are more effective and accurate than human doctors. One researcher says the results may be closer than we were told. Prof. Alastair Denniston at the University Hospitals Birmingham NHS foundation reports that tested deep learning systems performed on par with individual results.

Fellow researchers reported that while over 20,000 research data are available online, only 14 studies were comprehensive. All 14 reviews were on human disease diagnosis, and the systems were tested using datasets that were different from the one used to train it. The most promising results were then compared to human performance; results showed AI diagnostic capabilities where 87% accurate compared to 86% for humans.


“While research and AI development continue to increase, we need more data and clinical trials to assess its pros and cons properly,” says Dr RajJena, Oncologist at Addenbrooke’s hospital, Cambridge. The good doctor also advised more robust research be provided to ensure that we are prepared for the failures and problems that would come with AIs in medicine

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