AI is transforming the medical and healthcare sectors. Today, AI is improving the precision of diagnosing, the efficiency of the work with patients, and the efficacy of the interventions. Here we will look at a few real life examples whereby the use of AI is helping the patients as well as the doctors.
AI in Diagnosing Diseases
One of the strengths of AI is that it can review large quantities of medical data within a short span of time and more accurately. For instance, the application of machine learning has been the drive towards the identification of early indicators of diseases like cancer and hence allows the health care practitioners to agree appropriate treatment measures for the patients.
Virtual Nurse Assistants
Another wonder of using sophisticated technologies in the field of health care is virtual nurse assistants. These automated assisting tools, which include Sensely’s tools, among others, ensure that at least patients are given round the clock support.
They can answer simple questions such as episodes that have occurred, check up on the patient’s symptoms and even have a word that encourages the patient to take his/her medicine. It also enhances the satisfaction of the patient and was also found useful in decreasing the workload of the health personnel.
For example, a patient with chronic illness such as diabetes type II or hypertension may easily be managed and monitored using an application without frequent visits to the doctor.
Development of Patient Treatment Plan
AI is also taking up an important place in the formulation of individual treatment plans also. Through the records of their health, family history and general behaviour, the application can suggest proper treatment for the respective patients. It is being applied in oncology to plan individual cancer therapy. This in turn assists the doctor to be more informed in handling the numerous clientele they get thus improving on their services.
Enhancing Radiology
Another area where AI is already making a huge difference is radiology. This technology also includes AI algorithms for analysing medical images like X-rays, CT scans and MRI and finding out the irregularities. This assists the radiologists to diagnose conditions more effectively and in the shortest time possible.
For example, the AI systems that Zebra Medical Vision has produced can detect cases like fracture, tumours, and even abnormalities in the brain. These systems help radiologists to diagnose in the least time and with the highest accuracy hence helping the patient.
Improving Surgical Outcomes
AI is also improving surgical procedures among patients as well as increasing their rate of success. Applications of AI exist in many surgical procedures including the da Vinci Surgical System that are robotic surgical systems.
Such systems are more accurate and thus reduce complications that may occur during the operations hence availing quick recovery time for the patients. Also, using AI it is possible to analyze the data of surgeries that were performed and establish suitable subsequent surgeries.
AI in Mental Health
AI has also found its way in the management of mental health treatment also. Among the AI-based applications, the existences of Woebot and Wysa are in a way that these two applications offer mental health support as well as supply c-BT and emotional support to the users. The former tools can assist stressed, anxious, or depressed people by providing them with support and related strategies as soon as possible.
Predictive Analytics in Healthcare
The use of AI in making predictive analytics is changing the way patients are treated across the globe. AI can also recommend potential treatment options that will prevent extensive and serious cases of a disease.
For instance, AI systems would predict which patients are likely to acquire diseases such as sepsis or heart failure and notify the healthcare personnel to act accordingly. This type of preventive measures can prevent deaths and lower the expenditure on health care.
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