How AI helps detect severe diseases early
Today Artificial intelligence (AI) touches almost every aspect of life including health care. Recent computer algorithms have attained high accuracy almost at par with human experts. It has resulted in the greater application of AI in the clinical arena.
AI not only reduces the manpower requirement and saves costs significantly but also provides reliable as well as precise diagnostic and operational techniques. AI has provided the capability to recognize patterns of a large volume of data and identify complex relationships in data and their characteristics.
Many critical diseases can be cured if they are detected in their initial stages. In the last few decades, significant progress has been made in AI and its application in the medical domain. The long queue for checkups by medical specialists is taxing for the patients and their caregivers. Artificial Intelligence can ease their life by offering initial screenings, and the gathered data can be used by medical specialists in the investigation and diagnosis of the ailment.
Some of the clinical applications of Artificial Intelligence are:
- Heart Conditions: The treatment of heart diseases has significantly evolved in the last few decades. The use of AI in screening heart conditions can help patients to get treatment early. Some of the AI applications in cardiovascular diseases include detecting heart disease, stroke treatment, and improved diagnostic radiology capabilities. With AI-assisted comprehensive testing, cardiologists can spot life-threatening heart conditions.
- Cancer: In Oncology, AI helps in diagnosis, risk stratification, molecular characterization of tumors, and cancer drug discovery. In oncological care, AI has been used to accurately predict the treatment protocol for patients. It includes managing the use of chemotherapy drugs, predicting tolerance, and proposing a chemotherapy regimen. Artificial intelligence (AI) particularly especially machine learning and deep learning, has remarkably contributed to clinical cancer research in recent years, and prediction performance has significantly improved.
- Pathology: AI has been successfully developed to come up with more sophisticated pathological tools. The pathological analysis is one of the most frequently used methods to initiate disease treatment. AI-assisted pathological tools are used for the diagnosis of critical ailments like cancer and hepatitis B. Also, Repetitive screening time is quite time-consuming for pathologists. Shifting these repetitive tasks to AI saves pathologists time who can focus more on analyzing clinical findings.
- Radiology: Magnetic Resonance (MR) and Computerized Tomography (CT) are used to capture detailed images of tissues, organs, and skeletal structures. AI is useful in radiology to detect, investigate and diagnose disease through MRI and CT scans. AI can assist radiologists in reducing noises in images, enhancing image quality, capturing better images from the lower dose of radiation, and assessing image quality. Also, AI can be used to do repetitive routine tasks, and detailed information provided by AI solutions can help in providing more differentiated diagnoses.
- Infectious Diseases: The Covid pandemic has brought a paradigm shift in the health care system and the world has realized the potential of Artificial Intelligence in the treatment of infectious diseases. The rapid detection of the host response to infectious diseases, and machine learning analysis of blood not only improve and expedite the diagnosis but also predict treatment as well as its complications.
- Diabetes: Self-management is crucial in reducing the risk of chronic complications in diabetes patients. AI-assisted tools have been developed for diabetes self-management. It includes insulin injection, complications monitoring, and dietary as well as exercise guidance. These easy-to-use, accurate, and efficient AI applications have provided great help to patients and their caregivers.
AI has contributed significantly to the clinical research and health care system. The information gathered by screening through AI-assisted tools and their analysis has helped in detecting many severe diseases at a very early stage. It helps the patients to reach out to doctors timely and receive treatment sooner.