Resources

Meet Boss, our DevOps Engineer whose story didn't start in a traditional software role
Let's explore the principles of responsible AI development and deployment, and discuss the key considerations you need to be aware of before adopting AI solutions in your organization, specifically for the healthcare industry.
Radiologists are at the forefront of the medical AI revolution, and for good reason. This blog dives into the key takeaways from a seminar led by Dr. Kewalin Rangsinaporn, MD, Radiologist and Director of Health Design Center at Bangkok Hospital Headquarters
What Makes Good AI in Medical Imaging? At Perceptra, we believe an effective AI solution goes beyond just the algorithm. Here's our perspective on the characteristics of good AI in medical imaging.
The summary of Navigating the Waves of AI Technology in Healthcare led by Dr. Warasinee, a Faculty member, Institute of Field Robotics, King Mongkut's University of Technology Thonburi, and co-founder of Perceptra.
If AI in medical imaging is inevitable, what should radiologists know? The insight led by Arunnit Boonrod, M.D. and lecturer at Department of Radiology, Khon Kaen University.
Have you ever heard that good AI needs a massive amount of data to learn? While that's certainly true, it's actually just one piece of the puzzle. Perceptra model team believes that true "good" AI in medical imaging goes beyond the size
Greetings, health enthusiasts! As we step into the promising landscape of 2024, the healthcare sector is undergoing a transformative evolution, thanks to cutting-edge technologies. From AI-powered diagnostics to regulatory controls and patient-doctor communication, this year holds the promise of groundbreaking innovations
AI often seems like a buzzword tied to machine learning and deep learning. Let's breaking down those terms!
การนำเทคโนโลยี AI มาใช้นั้นน่าจะเป็นการลงทุนในการพัฒนาศักยภาพองค์กรที่คุ้มค่า แต่ในขณะเดียวกันก็มีความท้าทายจากหลากหลายปัจจัย