Rise of AI
AI and machine learning have become integral parts of various industries, healthcare is no exception. AI has been making breakthroughs in the field of healthcare, particularly in lab analysis. From providing instant support from doctors through the phone to integrating AI in healthcare, the industry is growing exponentially. The rise and dissemination of AI in medicine have significantly enhanced diagnostic accuracy and outcomes.
Increasing Productivity
Artificial intelligence has proven to be a valuable tool for radiologists and pathologists. According to the American College of Radiology, “AI as a companion for diagnosticians is a positive development” Although AI might not replace the need for radiologists entirely, it has the potential to improve productivity and efficiency of their work. Radiologists who use AI can deliver better results than the ones who don’t.
AI in diagnosis
Oncology: AI is emerging as an instrumental tool aiding in the early-stage detection of various cancers such as head and neck cancers, prostate cancer, colorectal cancer, and cervical cancer. It improves the accuracy of diagnosis and reduces porting time by 30-40%.
Neurology: Data processing using Machine Learning has been used to identify conditions like Alzheimer’s disease, dementia, schizophrenia
Cardiovascular: Machine Learning and Deep Learning tools help in the assessment of cardiac function and cardiac pathology. Some cardiovascular diseases such as coronary artery disease can be detected through deep learning.
AI in Enhancing Imaging
- Deep learning algorithms could enhance the assessment of MRI features such as texture, volume, and shape, and help doctors to diagnose advanced prostate cancer.
- An AI algorithm could assess X-rays and other images for evidence of opacities that indicate various diseases. It can lead to potential diagnoses and speedier treatment.
- When a Brain MRI machine is analyzed using machine learning, it helps in identifying tissue changes that reflect early ischemic within a narrow timeframe.
AI in Managing Data
Indian Diagnostic Labs are embracing AI technology to meet the growing demand for advanced diagnostics. From task-targeted automation (TTA) to total lab automation (TLA), AI-powered algorithms can analyze vast amounts of data with precision and speed, reducing the chances of human error and increasing efficiency. Automation is revolutionizing the way lab technicians work, repetitive and time-consuming tasks, such as data entry, result interpretation, and report generation are automated which in turn increases productivity, and reduces the need for manual labour.
The implementation of lab information management systems (LIMS) enables the tracking and analysis of patient data, securely storing it in the cloud for valuable insights. Automation efficiently manages data, while AI utilizes this data to identify patterns, and machine learning takes it a step further by making predictions. However, it is important to note that adopting these technologies requires extensive training for lab technicians to familiarize themselves with the new systems.
Increasing the accuracy and quality
With the increasing expectations of customers, quick and easy access to lab reports has become a necessity. Automation not only saves time but also minimizes the chances of errors. This enhances the quality and reliability of lab diagnostics, instilling confidence in the accuracy of results. AI systems can continuously learn from new data inputs and user feedback, improving their performance over time.
Robotic Labs
Aarthi Scans and Labs is the first diagnostic Lab in India to introduce a robotic lab for blood testing. The state-of-the-art lab automates the whole process. Starting from sample identification, processing, and storage of samples. This use of automation ensures that the results delivered are accurate and precise. Aarthi Scans and Labs have fully automated and advanced labs and end-to-end processing machines for haematology, pathology, biochemistry, and hormone processing.
Remote testing and results
Point of care testing (POCT) is gaining popularity, it facilitates remote diagnostics, allowing doctors and healthcare professionals to make more informed decisions and gain valuable insights for diagnosis and treatment planning.
AI algorithms play a significant role in personalizing the healthcare experience for individuals. People can conveniently access all their data on their mobile phones. It analyzes an individual’s medical history, genetic data, and lab results to provide treatment recommendations. This personalized approach allows doctors to tailor therapies and interventions based on specific patient characteristics. It helps in optimizing outcomes and minimizing side effects. It empowers individuals to be more proactive and responsible in managing their own health.
Accelerating Research & Development
AI is an important asset in drug discovery, clinical trial optimization, and medical research. It can analyse vast amounts of scientific literature and datasets. This can accelerate the development of new diagnostic tests, therapies, and treatment protocols.
AI in lab diagnostics has a significant role in revolutionizing healthcare. The integration of AI and machine learning in healthcare imaging brings remarkable advancements, enhancing efficiency, improving accuracy leading to better patient outcomes, and driving advancements in the field of diagnostics