Medical innovations

By Shannon Campbell, PhD, Principal Consultant, Frank Healthcare Advisors November 28, 2025 The Digital Medicine Society (DiMe) has released “ The Playbook: Implementing AI in Healthcare ” , a comprehensive, practice-oriented guide designed to help healthcare organizations adopt and scale artificial intelligence responsibly. While the Playbook is positioned primarily for health systems and digital transformation leaders, its implications for manufacturers developing AI-enable

By Shannon Campbell, PhD, Principal Consultant, Frank Healthcare Advisors November 28, 2025 Artificial intelligence (AI) is transforming diagnostics, imaging analysis, and clinical decision-making across the healthcare ecosystem. However, translating promising algorithms into regulated, clinically adopted Software as a Medical Device (SaMD) is a complex, multidisciplinary challenge. Success requires far more than algorithmic performance: it demands systematic alignment of reg

By Alicia Toledano, ScD, President, Biostatistics Consulting November 28, 2025 What sample size do I need? Sample size impacts budget, feasibility, and success of regulatory applications for in vitro  diagnostic tests (IVDs). At least as important is having an unbiased study – at minimum, the study sample should represent the intended use population and the “ground truth” against which performance of the IVD will be measured must be trustworthy. Once those are set up, sample

By Richard Frank, MD, PhD, Founder and Principal Consultant, Frank Healthcare Advisors November 28th 2025 AI-enabled medical devices, once seen as futuristic, are now routinely cleared by FDA to detect retinal disease, analyze cardiovascular physiology, classify imaging features, and autonomously interpret clinical signals. Yet despite rapid technological progress, commercial adoption for many AI solutions remains difficult. Innovators often underestimate one of the biggest b

By Luca Bogoni, PhD, Founder & Principal, HealthTech Strategies November 28, 2025 In early 2025 the FDA released a new draft guidance designed to help developers build safer, more transparent, and more reliable AI-enabled medical devices  FDA Draft Guidance for Developers of Artificial Intelligence-Enabled Medical Devices . As AI continues to transform imaging, diagnostics, monitoring, and clinical decision support, the agency is aiming to ensure that innovation is supported