Revolutionizing Health Care:  The role of AI

How does AI help in Health Care?

Artificial intelligence (AI) has transformed the healthcare industry by revolutionizing patient identification, treatment, and monitoring. It has significantly enhanced healthcare research by enabling more individualized therapies and precise diagnoses. By analyzing extensive clinical records, AI helps medical professionals detect patterns and signs of illnesses that might be missed otherwise. AI's applications in healthcare range from predicting outcomes based on electronic health data to early identification of abnormalities in radiological imaging. Healthcare systems worldwide can now treat millions of patients more efficiently and intelligently using AI in hospitals and clinics. This advancement not only improves patient outcomes but also reduces costs for providers. Undoubtedly, AI is the future of healthcare, reshaping the delivery of high-quality care globally. (Alowais et al., 2023) 

AI Assistance in Diagnostics: AI has a great deal of potential to improve diagnostic accuracy in a number of medical specialties. AI has the potential to completely transform healthcare by supporting decision-making, organising workflows, and automating tasks—despite the complexity of illness mechanisms and symptoms. Deep learning methods allow for the detection of patterns related to disease within large datasets, such as data mining and Convolutional Neural Networks (CNN).Numerous research have shown how AI can enhance the results of diagnostic procedures. When compared to conventional methods, artificial intelligence systems that analyse mammograms demonstrated a decrease in false positives and negatives in the diagnosis of breast cancer. Additionally, AI has demonstrated potential in the detection of cardiovascular illnesses, acute appendicitis, skin cancer, and diabetic retinopathy. These AI-driven developments minimise the possibility of human error and provide more accuracy while also cutting expenses and saving time. 

Mental Health Support: AI has the potential to transform mental health support by offering personalized and accessible care.Research has indicated that Web-based or Internet-based cognitive-behavioral therapy (CBT) is a psychotherapeutic intervention that is both accessible and effective. While psychiatric practitioners heavily rely on direct interaction and behavioral observation of patients, AI-powered tools can enhance their work in various ways. 

Reduce Dosage Errors: AI may be able to spot mistakes made by patients while self-administering their own prescriptions. A research published in Nature Medicine provides one example, revealing that up to 70% of patients do not take insulin as directed. An AI-powered device that operates in the background, like to a Wi-Fi router, might be utilised to identify mistakes made by the patient when using an insulin pen or inhaler. AI algorithms can analyze a patient's medical history, genetic makeup, current medications, and other relevant data to generate personalized dosing recommendations 

Fraud Prevention: About much billions are lost to fraud in the healthcare sector each year, which drives up medical premiums and out-of-pocket costs for consumers. The application of artificial intelligence can be used to prevent and detect fraudulent activity in insurance claims. AI can spot odd or suspect patterns, like charging for expensive services that were never rendered, breaking down costs into individual procedure steps, and ordering pointless testing to get around paying insurance. Healthcare companies may reduce fraudulent claims and safeguard the sector and consumers from financial losses by utilising AI to improve their fraud detection capabilities. (IBM Education, 2023)