AI’s potential to improve patient care, medical diagnosis, and operational efficiency has made it popular in healthcare. Medical imaging utilization has grown substantially in healthcare.
Healthcare found that CT and ultrasound scans had nearly doubled in the past decade. More healthcare businesses are investing in AI and machine learning to meet medical imaging demand and reduce staff workload.
Enhancing medical imaging with AI
To better understand and monitor patients’ anatomy and physiology, doctors use medical imaging. Diagnostic and preventative are the main types.
Diagnostic imaging determines the origins of symptoms and creates treatment options. Preventive imaging detects diseases early when the patient is symptom-free or has early signs of a more serious condition. Doctors may prescribe medical imaging for patients based on age, family history, or routine health checks.
AI has improved medical imaging accuracy and efficiency, especially in symptom diagnosis and illness risk prediction. This helps clinicians meet increased service demand. Radiology found AI systems accurate in breast cancer risk prediction. Another Tulane University study found a machine-assisted AI software could effectively diagnose colorectal cancer. AI performed as well as humans, suggesting it could aid clinical medical tests.
Intelligent healthcare with ASUS AI medical imaging
Third most prevalent disease worldwide, colorectal cancer is generally detected at advanced stages when treatment options are restricted, according to the WHO. Polyps form on the colon or rectum’s inner lining when cancer begins. Adenomas, polyps, can become malignant, hence they are considered pre-cancerous.
ASUS is committed to smart healthcare and provides realistic and innovative solutions to empower the future. With this in mind, ASUS has created many AI-assisted cancer diagnostic tools. The ASUS EndoAim Endoscopy technology, an AI medical imaging technology, helps clinicians discover polyps to avoid colorectal cancer.
Celebrating the Super-Aged Society with ASUS Smart Healthcare Solutions
After training on many datasets, EndoAim can categorize all observed polyps as adenoma or not. This gives clinicians a second viewpoint to establish an accurate diagnosis and avoid unneeded biopsies. EndoAim also detects numerous polyps at once during colonoscopy and tags other abnormalities on the screen, saving clinicians time and guesswork.
Colonoscopy misses 22%-28% of polyps and 20%-24% of adenomas, according to study. Ideal detection tests must have high sensitivity and specificity to effectively diagnose patients. A test’s sensitivity shows whether a patient has disease and its specificity shows whether they don’t.
ASUS EndoAim allows doctors to detect polyps in real time utilizing endoscopic pictures with 95% sensitivity and 97% specificity. EndoAim’s 60 fps processing speed, compared to 30 fps for competing technologies, increases adenoma detection and sets a new standard for colonoscopy.
TFDA medical device approval from Taiwan’s Ministry of Health and Welfare and National Quality Seal were granted to EndoAim last year. Many Taiwanese hospitals employ this AI software, which works with endoscopic systems.
Future of AI healthcare solutions
As the healthcare business increasingly uses AI, ASUS intends to develop AI-based solutions to improve healthcare delivery and reduce medical professional workload. ASUS aspires to advance AI healthcare solutions and improve care for all through continual development and collaboration with hospitals and industry partners.