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Up to Bat™ – How to Really Practice Radiology: Fun, Fast, and Entertaining Learning for the AI Era
6. What is your big bodacious imaginative idea?
Up to Bat™ focuses on two goals:
1️⃣ Practicing the core skill of seeing, and
2️⃣ Making that practice enjoyable.
A radiologist’s defining skill is the ability to analyze and interpret images while integrating clinical and contextual information. Education has emphasized knowledge, but it has not cultivated the skills of seeing and interpreting. Baseball hitters don’t become elite by simply playing more games; they break their swing into parts and practice repeatedly. Up to Bat™, powered by Visual Games, is batting practice for radiology—an adaptive, AI-driven system that builds diagnostic agility through rapid, progressive challenges. Each page offers AI-curated deep dives with clickable resources for further learning. Learners begin with a single-image challenge and advance to deeper levels of information, through a system styled for speed reading. They are guided through disease processes with a multisensory design — findings are also expressed through the lyrics of music and stanzas of poetry—making repetition emotional, memorable, and fun. T o enrich this experience, art, sculpture, and photographic images are also used as challenges, creating playful cross-disciplinary bridges to strengthen the skill of seeing. This unique approach transforms radiology education into a fun, emotionally engaging, and memorable experience that optimizes diagnostic agility and makes the practice enjoyable.
7. What is your call to action for the audience?
Radiology must adopt a new learning paradigm built on deliberate practice and joy in learning. The vision is a national, collaborative wiki-style platform where educators and institutions co-create content, share cases, and refine the art and science of interpretation together. AI algorithms streamline and standardize the process, enabling every radiology educator to create uniform, high-quality educational experiences. Mastery is achievable, enjoyable and the system scalable, resulting in radiology training that is more visual, connected, enduring and collaborative. Let’s go to bat togther
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Title of Proposed Pitch
Up to Bat™ – How to Really Practice Radiology: Fun, Fast, and Entertaining Learning for the AI Era
6. What is your big bodacious imaginative idea?
For decades, radiology education has focused on information—not on deliberately practicing the core skill that defines the field: the ability to look and truly see. Up to Bat™, powered by Visual Games, changes that. It is the “batting practice” of radiology—a fast, adaptive environment where learners build diagnostic agility through repeated single-image challenges that mimic real-world decision-making. What makes it different is its AI-driven, multisensory design: findings are turned into music lyrics and medical poetry, supported by memory images that make learning fun, emotional, and unforgettable. Beyond medical images, art, sculpture, and photography are woven in using the same algorithms of observation and interpretation, strengthening visual intelligence across disciplines. Together, these create a new paradigm for excellence—training radiologists to see faster, think deeper, and enjoy the process.
7. What is your call to action for the audience?
Radiology must reclaim and refine the practice of seeing. Join Up to Bat™! to build a national, collaborative wiki-style platform where AI helps standardize, personalize, and gamify radiology education—making mastery not only achievable, but fun.
Title of Proposed Pitch
Up to Bat™ – How to Really Practice Radiology: Fun, Fast, and Entertaining Learning for the AI Era
6. What is your big bodacious imaginative idea?
A radiologist’s defining skill is the ability to analyze and interpret images while integrating clinical and contextual information. Education has emphasized knowledge, but it has not equally cultivated the skills of seeing and interpreting. Up to Bat™, powered by Visual Games, refocuses training on the craft of visual interpretation. Learners begin with a single-image challenge and progress—through adaptive AI algorithms—into deeper levels of information, styled in table and bullet format for speed reading , The gamer is guided through disease processes, and cultural parallels in art, poetry, history, and music. Learning is tested through MCQs. This multisensory approach transforms radiology education into a fun, emotionally engaging, and memorable experience that strengthens diagnostic agility and promotes wellness.
7. What is your call to action for the audience?
Recognize that the future of radiology depends on reinforcing its core skill—the disciplined practice of seeing. Join Up to Bat! While the author’s collection of 50,000 curated images forms a powerful foundation, the greater opportunity lies in a national, collaborative wiki-style platform where educators and institutions co-create content, share cases, and refine the art and science of interpretation together. AI algorithms streamline and standardize the process, enabling every radiology educator to create uniform, high-quality educational experiences. Let’s unite to make radiology training more visual, connected, and enduring.