HHS Policy Changes, Supreme Court Rulings, and the DOJ-HHS False Claims Act Working Group
Taking the Pulse, A Health Care and Life Sciences Video Podcast | Episode 236: Advocating for Accessible Diagnoses with Sydney Severance of Operation Upright
Federal Court Strikes Down FDA Rule on LDTs - Thought Leaders in Health Law®
Taking the Pulse, A Health Care and Life Sciences Video Podcast | Episode 233: Prioritizing Women’s Health Through Innovation with Lindsey Calcutt of Incora Health
Taking the Pulse, A Health Care and Life Sciences Video Podcast | Episode 228: Designing & Manufacturing Auto-Injectors with Kimberlee Steele of SHL Medical
Building a Business at the Intersection of Neurodata and Innovation With Rob Cooley
AGG Talks: Cross-Border Business Podcast - Episode 26: U.S. Enforcement Trends Targeting Foreign Pharmaceutical and Medical Device Manufacturers
Taking the Pulse, A Health Care and Life Sciences Video Podcast | Episode 209: North Carolina’s Life Sciences Industry with Laura Gunter of NCLifeSci
Taking the Pulse, A Health Care and Life Sciences Video Podcast | Episode 208: Extended Reality Technology and the ThinkReality Headset with Mattney Beck of Lenovo
AI in the Operating Room: Liability Issues for Device Makers — The Good Bot Podcast
Taking the Pulse, A Health Care and Life Sciences Video Podcast | Episode 201: SHL Medical’s Investment in the Carolinas with Kimberlee Steele of SHL Medical
The FDA's Response to AI Medical Innovation — The Good Bot Podcast
Meet Meaghan Luster: Patent Litigation Associate at Wolf Greenfield
FDA Releases Laboratory-Developed Tests Final Rule – Thought Leaders in Health Law
Taking the Pulse, A Health Care and Life Sciences Video Podcast | Episode 177: Brain Health and Research with Dr. Fridriksson, Neuroscientist, Professor, & Vice President of Research at the Universit
Transparency and the Open Payments Program
Medical Device Legal News with Sam Bernstein: Episode 19
Medical Device Legal News with Sam Bernstein: Episode 18
Medical Device Legal News with Sam Bernstein: Episode 17
Health + Tech - Improving Cancer Care With Digital Health Tools
The Food and Drug Administration (FDA) issued final guidance Monday that explains how medical device manufacturers can use a Predetermined Change Control Plan (PCCP) to update AI-enabled device software functions (AI-DSFs)...more
Happy Holidays and welcome to our year-end issue of Decoded. We hope you enjoyed reading our technology law insights e-newsletter this year. We are already planning for 2025. ...more
n March 15, the U.S. Food and Drug Administration (FDA) published a paper titled “Artificial Intelligence and Medical Products: How CBER, CDER, CDRH, and OCP are Working Together.” This paper describes the FDA’s strategy for...more
For good reasons, including product safety, quality assurance, development of delivery procedures and instructions, it has been a common practice for medical device companies and innovators to consult with physicians during...more
FDA has recently published two much-anticipated items related to artificial intelligence (“AI”), one pertaining to medical devices and the other to drug manufacturing. FDA has cleared or approved hundreds of products that...more
The US Food and Drug Administration (FDA or the Agency) recently issued its draft guidance titled “Marketing Submission Recommendations for a Predetermined Change Control Plan for Artificial Intelligence/Machine Learning...more
The use of artificial intelligence (AI) in healthcare has been growing rapidly in recent years, and AI-enabled medical devices are playing a larger role in patient care. Such devices may use machine learning algorithms to...more
Artificial Intelligence (AI) has long been associated with science fiction movies about dystopian futures, leading to fear among the general public about its potential impact. This is especially the case today for those in...more
On April 3, 2023, the Food and Drug Administration (FDA) published in the Federal Register an announcement of availability for the draft guidance, Marketing Submission Recommendations for a Predetermined Change Control Plan...more
As artificial intelligence technology evolves on a seemingly minute-by-minute basis, the U.S. FDA’s regulatory approach continues to evolve in an effort to keep pace. “The promise of artificial intelligence in medicine is...more
In recent years, the digitalization of the healthcare industry has been accelerated to meet demands for smarter devices and robotics, wearable technology, AI-based data analysis, and enhanced platforms and simulations, among...more
Hogan Lovells partners Kelliann H. Payne and John J. Smith, M.D., J.D. recently joined Richard Frank, MD, PhD, Chief Medical Officer, Siemens Healthineers, and other industry leaders in person and virtually at the Health Care...more
On October 14, 2021, the Food and Drug Administration (FDA) held a virtual public workshop on transparency surrounding Artificial Intelligence/Machine Learning (AI/ML) enabled medical devices. The workshop focused on the...more
In the weeks leading up to FDA’s October 14, 2021 Transparency of AI/ML Enabled Medical Devices Workshop (Workshop), we took a brief look at the history of FDA’s regulation of medical device software and the agency’s more...more
U.S. Food and Drug Administration (FDA) has acknowledged the prevalence of Artificial Intelligence/Machine Learning (AI/ML)-Based Software as Medical Devices (SaMDs) and has been taking steps towards advancing its regulatory...more
Q: The FDA’s stance on a regulatory framework for artificial intelligence and machine learning (AI/ML) software as a medical device is continuously evolving. Could you explain the history? A: Artificial intelligence (AI) is...more
On January 12, 2021, the U.S. Food and Drug Administration (FDA) released the Artificial Intelligence/Machine Learning (AI/ML)-Based Software as a Medical Device (SaMD) Action Plan (Action Plan). The Action Plan expresses...more
In April 2019, the US Food and Drug Administration (FDA) issued a white paper, “Proposed Regulatory Framework for Modifications to Artificial Intelligence/Machine Learning (AI/ML)-Based Software as a Medical Device,”...more
In the shadow of the FDA’s new Proposed Regulatory Framework for Modifications to AI/ML-Based Software as a Medical Device, manufacturers are left to contemplate enhanced product liability exposure. AI-powered devices ingest...more