Warning: Use of undefined constant REQUEST_URI - assumed 'REQUEST_URI' (this will throw an Error in a future version of PHP) in /home/yodalear/public_html/newtechdojo.com/wp-content/themes/leadengine/functions.php on line 73
Reviving the Healthcare Sector with Artificial Intelligence - New Tech Dojo

Reviving the Healthcare Sector with Artificial Intelligence

Reviving the Healthcare Sector with AI

Reviving the Healthcare Sector with Artificial Intelligence

The Technology has already entered the Vault of Heaven. Artificial Intelligence in the Era of Tech Advancements is like the Nutella in our lives that the Data Scientists keep on craving for. Automation brings prosperousness in the Mechanisms of the Medical Field as well. The delivery of the Wealth of Data here can be used for further Ongoing Processes and treatments. The continuous feedback yields improvement and Optimization. The information is further used in improving the Program. This way, there is accuracy and efficiency in the result and the team can refer to the processing for further analysis.

Involvement of Artificial Intelligence in Medical eradicates the possibility of human Errors and Fatigue. If there is automation in the field of Medical Transcriptions, decision guide and Order Entry, it depreciates the complications and cost. Lives are saved.

The 4 most integral Medical Fields where Automation is going to ease the processing are:

Automation in Oncology

Oncology - Healthcare sector with Artificial Intelligence

Radiosurgery and Radiation Therapy are the treatment procedures that companies have been focusing on for years. They keep on haunting Mechanisms that would help in enhancing their Software Systems. Basically, Oncology is focused on Studying the treatment of Tumors. The complete Spectrum of Cancer Care targets on finding the valuable clinical quick-fix.

The ultimate objective of any Health Care Organization is the safety of its patients. Patients should be Effectively taken care of. They should be diagnosed in the Best Possible Way. Over the years, the target has been to develop mechanisms that work on Automation. With such automated techniques, the efficiency in detecting the preventive methods increase.

The Oncologists will be heftily benefited with the Automation in the Healthcare. The continuous ongoing process of Upcoming Clinical Treatments for treating Cancer and Brain Disorders. 

In the cancer cell detection, newfangled hopes and opportunities are getting added to the Automation. Since years, Manual Labor is involved in research and testing on the Vulnerability of the disease. The Susceptibility test on the drugs of the Clinical Cancer Patients is also carried much the same way. The role of automation has been partially involved in these proceedings to date.

Swapping of the manual intensive territory of Medical Field with the Automated Artistry is going to be game Changing. This Role Reversal will not just bring ease in the process of Cancer Cell Detection but will have multiple monetary benefits as well. The Economy and Societal cords will rejuvenate. What changes with Automation is, the probability and the possibility of the result are going to be distinct and unmistakable. You get to detect single cells and molecules by going to the state of Micro/ Nanometer. Developing Robotics and Automation is a divine sanction, giving energy to the patient. Ensuring the patient to display courage as it just the beginning. Early detection of the Tumor is an affirmative sign for the Doctors as it can be kicked out easily. The health is restored, safeguarding the life of the patient.

Automation in Ophthalmology

ophthalmology - Healthcare sector with Artificial Intelligence

If there is a damage to the blood vessels of the eye it has got few severe impacts. This damage leads to the progressive worsening of the Vision. This Downfall can get really worse. There are aids to this situation. Early detection of the symptom is vital and necessary. This makes the defense indispensable. With the help of the special devices, the picture of the patient’s retina is checked. As the patients in these cases are unable to detect the symptoms. What happens is, the specialized devices help in the early detection of such diseases. This will help in detecting early signs of Bleeding and Fluid Leakage.

Diabetic Retinopathy is something which is Found in almost one-third of Diabetic Patients. This can be detected easily by the Machine Learning Algorithm or by a Supremely Experienced Ophthalmologist. The Process is carried out here by looking and observing Retinal Images.

The Programmed and computerized detection definitely makes the diagnosis virtuous and impeccable. Wherever there is scarcity the automated detection could turn out to be really beneficial in such regions. Medical Care is the field where the methods of advancement will work. Medical Care perhaps falls within the realm of possible improvement. Automation and Machine Learning has the budding potential to dominate the improvement under Medical Care. This will make the objective, information, and quality of the Medical Care Explicit.

Automation in Rehabilitation:

Automation in Rehabilitation - Healthcare sector with Artificial Intelligence

Well, the intelligent robots were thought to be made to curtail the line of duty. If there is an intelligent system like this then the therapy that is to be performed is stored in the system. The patients are coming under the Robot-assisted rehabilitation. The Robots would be treating these patients who come for rehab. This auto run robot can waver few of the tasks that were duly performed by the Therapists at the Rehabilitation. The tasks could be the supervision of the safety issues of the Patient. Incorporation of the patient’s feedback or administering of a therapy task.

This is just like a Biomechanical Integration. What will be happening here is, the psycho-physiological aspects will be kept in mind. The Psycho-physiological aspects involve documenting and governing the Patient’s Reaction. The psychological behavior of the Patient, how they react to receiving opportune stimuli. The stimuli should be received by the patient in a way which is unharmed. The Patient should be getting engaged in an inspiring way so that they are having a stress-free mind.

Automation in Sports Medicine:

Sports Medicine- Healthcare sector with Artificial Intelligence

Since our observation already lands us to few conclusions. The Machine Learning Algorithms are really fabulous in Pattern Recognition.  People are definitely looked up to as the guidance is always provided by them. The superiority of the humans is not getting questioned when we talk about Artificial Intelligence.  But there is a way out in following up with the Machine Learning Algorithms. While you talk about diagnosis, it becomes cheaper with Cognitive Computers. Let us consider a situation. Suppose, there is a Physician Appointed for recommending Medicine. Muscle Pull, cramp or Muscle Strains all come under the sports Injury. Cognitive Computers are automated and trained in a way to recognize the kind and type of injury. These algorithms know which method is going to suffice this complication.

The major query and quest, both are to find out if a robot is enough?

Is it really enough to be decisive and make an ethical choice? 

With Automation in the Medical and Healthcare, the outcome and symptom of the disease will be well predicted with Automation. In case, if the patient ever drifts away or digresses from the recommended care, then the team can intervene anytime. By this, they get to control the behavior of the Patient and maintain records of the prescribed treatment.



You Learn Best By Implementing Algorithms From Scratch in Excel

Download the Spreadsheet and see the algorithm in action.  No Fancy Math