Artificial intelligence (AI) is becoming more imperative in healthcare sector making the treatment and Medicare process more effective and effortless. Further with more ground-breaking innovations, in this field healthcare industry will be also benefiting at larger scale.
Although, AI is already is playing a crucial role in providing the better treatment and care facility to patients helping them to recover at faster rate with least agony and time spend. In 2019 various new discoveries are under the pipeline, let’ see how AI will help or improve the healthcare in 2019 and upcoming years with more upgraded AI-backed services.
Medical Imaging with More Level of Accuracy
Medical imaging is one the key sub-field in healthcare industry which is getting greater attention by developers to improve the medical image data analysis and processing with better results. With help of AI-backed image annotation the level of accuracy and diagnosis process likely to become more precise allowing the doctors to provide the faster and more suitable treatment to patients getting the medical care at more affordable cost.
Actually, medical imaging has wider scope for AI to read the medical images like X-ray, CT Scan or MRI with the help of huge amount of medical imaging data used to feed in machine learning with right algorithms for analyzing and predicting the ailments or possible disease suffered by a patient therein to take quick decision.
The Ever Increasing Role of AI in Medical Imaging
The AI is increasing its significance in healthcare industry with rise of more role played by this technology backed machines and computers in various sub-fields. In image diagnosis with more improved accuracy and faster results making easier for radiologist community to provide the personalize treatments planning to patients.
Though, a myth was developed against AI that is a threat in the medical imaging community but now thinking has changed, instead the demand for AI in healthcare sector and interest of radiologist in this technology has significantly increased in the past years with promising investments by tech giants in AI imaging technology worldwide. As per the search, the capital investment in this machine learning solution for medical imaging is growing and the trend is likely to continue further in upcoming years.
More Participation of AI in Healthcare Communication
The communication process between the patient-physician or communication between different healthcare organs is affected due to many factors causing the communication gap or mortalities arise due to delay in communication. With the rise of involvement in AI the communication process in healthcare industry the problems and healthcare related issues can be addressed quickly. As per the research, most of medical errors occur due to miscommunication between caretakers during the patient transfer and medical supplies.
Various AI developers have already launched AI-enabled medical apps to communicate with and monitor patients. Further, sighting the signs of progress in this field the communication process between patients and medical support service providers is likely to improve doctor-patient communication and improve the treatments. The AI-enabled Chatbots, apps and virtual assistance devices will help to schedule the appointments with medical centers or provide the faster information of various queries requested by patients.
Will Help to Reduce the Medical Dosage Errors
In healthcare industry, Medication and dosage errors are one the leading causes of unanticipated deaths that can be easily prevented if such errors are avoided in various situations. If AI-backed services are integrated into this field, it will help healthcare sector to save the billions of dollars of this industry that can be used to develop more research centers.
AI has ability to process and interpret the large quality of healthcare training data to develop useful applications for this industry. Further in 2019, with more innovative developments in AI it will serve as a major advantage for healthcare industry and also help to make the administration and applications of medical dosage more precise to control the unanticipated deaths and increase the reliability of patients in this technology.