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AI In Medical - I

This is part 1 of the AI in medical blog, read part 2

AI helps to do work in more efficient and effective way, It can help in medical field as well. It helps clinicians to treat people with precise information of patient as well as with appropriate medicine. The main goal for artificial intelligence is to make computers more useful in the field of medicine.

Today, one of the biggest problems physicians and clinicians face in general is the overload of too much patient information to work with. This rapid accumulation of electronic data is due to the advent of electronic medical records (EMRs) and capture of all sorts of data about a patient that was not previously recorded, or at least not easily datamined. EMRs includes all type of data whether it is reports containing blood group, hemoglobin, sugar level etc, all sort of data which was not recorded by the patient.

Medicine is the field in which technology is needed. For example, if someone suffers from illness due to bacteria of one kind and other may have cold due to bacteria of different kind therefore effect will be different on different people and hence should be given medicine according to disease and its effect. AI comes into picture here, It helps in preventing and treating diseases that takes into account individual variability in genes, environment, and lifestyle for each person.

Using AI, It becomes possible to get closer to the root cause of the disease and treatment. Several companies has already recognized the potential of AI for mining medical records, identifying therapies, supporting radiology or genomics. Best practical example of using AI is Atomwise.

Atomwise launched a virtual search for safe, existing medicines that could be re-designed to treat the Ebola virus. With the help of AI technology, it helps to reduce Ebola infection. Inventing this type of technology may take years but using AI it took only few days. AI allows the ability to discover new drugs. The AI system is provided with samples of one or more drugs that weakly exhibit a particular activity, and based upon the description of the chemical structure of those compounds, the system then suggests which chemical attributes are necessary for that pharmacological activity. Based upon the new characterization of chemical structure produced by the AI, drug designers can try to design a new compound that has those characteristics.

AI is beneficial for medical in many ways:

  • Reduced mortality rate: Artificial intelligence is what gives computers the ability to learn, think, reason, and even understand human emotions, allowing computers to do more than just repetitive tasks.

In the medical field, AI is designed to assist doctors (not replace them) in the effort to reduce the mortality rate among patients awaiting care from specialists.

  • Fast and accurate diagnostics: In the case of AI, the neural network of the brain is successfully imitated, Even including the ability to learn from past cases. Several studies on artificial neural networks showed that they are able to accurately diagnose some diseases including malignant melanoma, eye problems, and many forms of cancer by analyzing spectral information and diagnostic criteria.

  • Reduce errors related to human fatigue: Doctors see approximately 80 patients per week, which can be very exhausting considering the individual amount of attention and knowledge each person requires. Unlike a doctor, AI is un-phased by numbers of patients, long work hours, and task redundancy.

Think of AI as sort of a superhuman spell checker, assisting doctors by eliminating human error and relieving them of time consuming monotonous tasks.

  • Decrease in medical costs: AI assistants/programs could significantly reduce medical costs by eliminating office visits with online care. Patients can be asked to submit data more frequently via online medical records, and the improved line of communication could result in less office visits. Further cost reductions could come from efficient AI diagnosing and screening of high-risk patients as well as by eliminating human errors in record keeping and diagnosis.

  • Movement assistance: As the medical community struggles to meet the needs of patients, Hospitals may want to turn to robots to augment their workforce and to outsource repetitive yet necessary tasks such as pharmacy operations and pill dispensing. The breakthrough HAL 5 (Hybrid Assistive Limb) suit has been designed to overcome mobility challenges and can double the amount of weight someone can carry, making it a potentially valuable tool for healthcare professionals.

  • Minimally invasive surgery advances: The Da Vinci Si HD Surgical System has already made great strides in surgical robotics. The system offers doctors superior visualization, precision, and comfort. Such surgical robots already deliver smaller incisions, reduce patient pain, minimize need for medication, and shorten hospital stays; all of which reduce medical costs.

  • Improved radiology: Robotic Radiosurgery Systems like CyberKnife offer a non-invasive alternative to treating malignant and benign tumors anywhere in the body. The system uses image-guided technology and computer controlled mobility to detect and correct tumor and patient movement throughout the treatment. It delivers precise radiation to the tumor, reducing damage to surrounding healthy tissue.

  • Virtual presence: Thanks to virtual presence technology, you may never have to leave your bed again. Using a remote presence robot, doctors are able to engage with patients and staff without actually being there. They are able to move around and interact almost as effectively as if they were present. This allows specialists to assist patients that may not be able to travel to see a particular doctor.

Read Part2

#covid19 #coronavirus #aritificialIntelligence #AIinmedical

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