Artificial intelligence (AI) in the healthcare is making hype with its capacity of fetching information, processing it and concluding it without direct human input. This intelligent technology accomplishes the functions faster without making errors. The healthcare industry uses technology to analyze diseases or treatments techniques and patients' outcome. The advanced AI-powered technologies provide solutions, which eliminate mundane tasks, mitigate risks, and improve the efficiency of the chain of the process. Following are some of the applications of AI in the medical industry:
Early detection and diagnosis: The unpredictable nature of tumors is the biggest threat to cure cancer. If a doctor can foresee how a tumor evolves they can be one step ahead and the possibility of surviving of the patient rises. Advanced tools can pick out the pattern from DNA mutation of the cancer patients and predict the genetic changes.
AI-powered wearable devices oversee heart diseases at the early stage and enable doctors and caregivers to take necessary precautions.
Medical image processing:Image processing is the most important step in diagnosis. Rushes to check the reports of medical images lead to making mistakes as the captured medical images are increasing in numbers. Use of technologies wipes out these imperfections by analyzing images faster and detecting anomalies in a better way.
Virtual assistance (VA): Instead of consulting with doctors, again and again, patients can use VA as a virtual doctor. VA allows patients to make the interactions with a doctor in real-time. Patients can ask there for prescriptions and diets for the common medical condition.
The advent of precision medicine: According to Healthcare Finance, $2.5B is spent per year on ineffective treatments. Sometimes medications don’t work out and end up with discouragement, money and time of patients. Precision medicine for chronic diseases speeds up the treatment faster and effectively.
Cost-effective: Frost & Sullivan report says that the inclusion of AI can reduce treatment cost by even 50% by deducting human errors during procedures. The technology provides information to doctors about the patients to avoid hospitals re-admissions.
Morgan Jayne, MD, Div. of Quality and Safety, Clinical Director/Covid Task Force, Piedmont Healthcare, Inc., Atlanta, GA Cooke David, MD, Section of General Thoracic Surgery, University of California, Davis Health, Sacramento, CA; Kpodonu Jacques, MD, Div. of Cardiothoracic Surgery, Beth Israel Medical Center/Harvard Medical School, Boston, MA