A New Approach for Oncology Decision Support
In oncology, change doesn’t wait. Clinical trial data evolves by the hour, guidelines shift rapidly, and regulatory approvals are updated in real time. For practicing oncologists seeing 20–30 patients a day, staying “up to date” often feels like an impossible task. Traditional tools simply weren’t built for the speed or complexity of modern cancer care. As Dr. Sarkisian shares in his recent discussion, the challenge isn’t just access to information, it’s access to the right information, when it matters. Sifting through endless trial abstracts, publications, and guidelines leaves little room for practical, real-time decision-making. And the cost of delay isn’t theoretical, it impacts lives. That’s where Oncoscope-AI comes in. By combining the speed of AI with the clinical judgment of expert human reviewers, Oncoscope-AI filters, organizes, and prioritizes the most relevant oncology data daily. It’s not just another search tool or chatbot. It’s a decision support platform purpose-built to meet oncologists where they are: at the point of care, under pressure, and in need of trusted, clinically aligned information. In less than three clicks, physicians can access: Physicians know, real-time decisions demand real-time data; anything less puts patients at risk. Beka Vinogradov is the Digital Communications Lead for Oncoscope-AI. She holds a Master’s in Health Administration and has extensive experience and education in business, marketing, and design.
Real-World Relevance: Dr. Chad Levitt on AI That Works for Doctors
What does meaningful innovation look like in oncology? Dr. Chad Levitt believes it’s not just about new technology, it’s about how we use it. In this video, he shares a clinician’s perspective on what makes AI valuable at the point of care: relevance, clarity, and trust. With clinical teams already overwhelmed by fragmented, constantly evolving oncology data, what they don’t need is more information. What they do need is the right information. And they need it delivered in a way that fits their clinical workflows and supports real-time treatment decisions. That’s the vision behind Oncoscope-AI, a hybrid platform that combines the speed of artificial intelligence with the insight of expert human review. It’s designed specifically for oncology teams, not just to summarize data, but to organize, interpret, and prioritize it with clinical nuance. Dr. Levitt’s message is clear, Tools like Oncoscope aren’t here to replace clinicians. They’re here to support them in doing what they do best, making confident, evidence-based decisions for their patients. “We don’t need more noise. We need intelligent filtering. That’s what makes AI useful in practice, not just possible in theory.” – Dr. Chad Levitt Beka Vinogradov is the Digital Communications Lead for Oncoscope-AI. She holds a Master’s in Health Administration and has extensive experience and education in business, marketing, and design.
Dr. Saro Sarkisian: Oncology Needs More Than Static Resources
In today’s oncology landscape, the pace of change is staggering. Clinical trials, FDA approvals, and updated guidelines happen constantly. Yet many oncologists are still relying on resources that are static or quickly outdated. Dr. Saro Sarkisian, a practicing medical oncologist, knows this challenge firsthand. In this short video, he explains the frustration clinicians face when trying to make time-sensitive treatment decisions using tools that haven’t kept pace with the data. Traditional references like UpToDate can offer an overview, but in oncology, “up to date” isn’t always current enough. That’s why Oncoscope-AI is a game changer. Oncoscope-AI is a hybrid decision-support platform built specifically for oncologists. It combines the speed and reach of AI with the critical oversight of expert human reviewers. The result? Evidence-based treatment intelligence that’s updated daily, organized by patient profile, and ready to use in clinical decision-making. As Dr. Sarkisian puts it: “We need tools that reflect how fast oncology is evolving, something that doesn’t just tell us what was true last year, but what’s happening now.” If you’re an oncologist navigating today’s complex treatment environment, real-time data isn’t a luxury, it’s a necessity. Beka Vinogradov is the Digital Communications Lead for Oncoscope-AI. She holds a Master’s in Health Administration and has extensive experience and education in business, marketing, and design.
AI In Oncology: Living Guidelines
How are oncology practitioners integrating AI into their clinical workflows? What does it look like to use a living guideline tool in real-world practice?
Breast Cancer, Precision Medicine and AI
This multidisciplinary discussion explores how the convergence of patient advocacy, clinical expertise, and technological innovation can drive more effective and personalized approaches to breast cancer treatment.