ARTIFICIAL intelligence-powered technology has in recent times brought about a major breakthrough in the way complex tasks and challenges are resolved at work. Generally, in health care, where these complex tasks and challenges are most visible, artificial intelligence is expected to revolutionise diagnosis, medical care and disease research.
The extraordinary impact of artificial intelligence technology on accurate diagnostic services can significantly improve accuracy and efficiency of and accessibility to healthcare systems. Effective health care depends on accurate diagnosis and a rapid identification of important and complex diseases, making right treatment decisions, increasing the likelihood of a positive outcome and managing its consequences with right and effective medicines. Physicians naturally use their clinical skills, various laboratory tests and radio imaging techniques to diagnose a disease. There are, however, many limitations to such methods.
Human error, variation in clinical interpretation and lack of reliable facilities can hinder rapid diagnosis. This is where the use of artificial intelligence technology for diagnosis can be a paradigm shift. Machine learning algorithms can evaluate vast amounts of data and find small patterns that can provide unparalleled opportunities for improvement in the medical field. Artificial intelligence technologies can improve the reliability, accuracy and efficiency of diagnosis by quickly and more accurately evaluating complex information.
Artificial intelligence has several diagnostic applications. They include image-based imaging such as convolutional neural networks, which are used to understand images from X-Ray, magnetic resonance imaging and histopathology slides. The algorithms are considered more effective than what radiologists and pathologists do in detecting various anomalies, classifying patient diseases and predicting patient survival. In addition to radiology imaging, artificial intelligence diagnostic technologies can analyse large genomic databases in details to predict genetic predisposition and disease risk and tailor therapy.
Artificial intelligence is playing a leading role in diagnosing diseases beyond radiology imaging by processing huge genetic data. Typically, analytical methods require the help of billions of pairs of human genomes. But the artificial intelligence technique, especially AI-powered driven genetic analysis, is very adept at finding patterns and interconnections in this huge data set. The diagnostic accuracy of artificial intelligence is essential for genetic analysis, cancer diagnosis and proper treatment. Artificial intelligence has been used to evaluate tumor genomic profiles, precision therapy and targeted mutations to provide the right treatment.
Artificial intelligence-powered diagnostics are driving medical research and clinical practice towards one of the greatest successes in the medical system day by day. Artificial intelligence can combine data from different countries, different ethnicities and different groups to find a connection between new diseases, which can improve diagnostic criteria and accelerate treatment. By combining genetic data, clinical findings and real-world evidence, medical researchers can gain new insights that enable the creation of customised or tailored therapy. Artificial intelligence can significantly reduce healthcare costs with accurate diagnosis and proper treatment.
Using this artificial intelligence technology, world-class health care can be provided in remote areas, where health care is inadequate. Especially in rural areas where it is difficult to reach health services, thousands of cancer patients can be saved from certain death if artificial intelligence technology can diagnose and treat deadly diseases such as cervical and breast cancer in a short time. By accurately verifying the patient鈥檚 various symptoms, medical history, eating habits, family history of diseases and all other information, artificial intelligence technology is believed to be able to quickly diagnose and treat prostate cancer, stomach cancer, rectal cancer, brain tumors, diabetes, heart and other complex diseases and save millions of lives.
The use of this artificial intelligence technology provides diagnostic accuracy, efficiency and customisation that will improve clinical procedures, simplify treatment planning and improve diagnostic accuracy, marking a significant advance in medical research and patient care. This technology has the potential to completely transform the healthcare industry. However, there are also some difficulties in incorporating artificial intelligence into therapeutic practice.
Ethical considerations such as algorithmic bias and the opacity of artificial intelligence technology decision-making, however, present dangers that must be adequately controlled to ensure equitable healthcare outcomes. Furthermore, the dynamic nature of the technology makes regulatory oversight, validation and standardisation more difficult, requiring the creation of strong governance structures.
Despite such difficulties, the technology offers significant advantages such as reductio in physician fatigue and advancement in precision medicine. Policymakers, clinicians and technologists must collaborate to overcome the ethical, legal and practical issues associated with artificial intelligence technology in health care. By promoting openness, responsibility and diversity in the creation and use of artificial intelligence-powered technologies, it can be said that the cutting-edge tools are being fully used, improving health care and ushering in a new era of patient-centred care.
听
Dr Kawsher Rahman is in-charge and resident medical officer at Beanibazar Cancer and General Hospital, Sylhet.