In a roadmap to change animal testing requirements for INDs, the U.S. FDA said its new approach will improve drug safety, hasten the evaluation process, and lower costs for companies and patients. It’s another step in a process of changing rules put in place decades ago.
In a roadmap to change animal testing requirements for INDs, the U.S. FDA said its new approach will improve drug safety, hasten the evaluation process, and lower costs for companies and patients. It’s another step in a process of changing rules put in place decades ago.
AI could significantly improve the value of patient recalls following mammography, but so far radiologists seem reluctant to rely on computer-aided readings. Radiologists tend to trust their own judgment – and that of their colleagues – in mammogram readings far more than AI-based diagnostics, even when the AI is much more accurate, a prospective trial analysis published in Radiology by Karolinska Institutet researchers found.
The U.S. NIH published the results of a study of the use of AI in referring patients for intervention for risk of opioid use disorder, which found the algorithm helped stave off hospital admissions.
The U.S. FDA cleared Artrya Ltd.’s Salix Coronary Anatomy software that analyzes coronary computed tomography angiogram scans via AI to better diagnose coronary artery disease.
The first patent from Palo Alto, Calif.-headquartered Updoc Inc. provides protection for their development of an artificially intelligent, voice-based method for prescribing, managing and administering at least one medication for management of type 2 diabetes to a patient.
The U.K. Medicines and Healthcare Products Regulatory Agency (MHRA) unveiled the pilot version of its AI Airlock in 2024, and the agency posted a list of the products that are taking part in this version of a regulatory sandbox.
Two French startups, Gleamer SAS and Azmed SAS, received clearance from the U.S. FDA for their AI-powered tools for chest X-rays. They join an increasing number of companies developing software tools to help clinicians detect a range of abnormalities on images, enhancing diagnostic accuracy, reducing delays and improving patient outcomes.
Several American states are forging into a legislative vacuum where regulation of AI is concerned as Congress continues to delay action. Adoption of AI regulations on a state level increases the risk of a fragmented regulatory landscape, as already exists in U.S. privacy law, further complicating the path forward for med-tech companies deploying AI algorithms.
The unrelenting pressure on medical practice in the U.S. has sparked some innovations, but a legislative innovation is now in the works that would fundamentally shift how at least some drugs are prescribed. The Healthy Technology Act of 2025 (H.R. 238) would allow AI and machine learning algorithms to write prescriptions for pharmaceuticals, although the lack of co-sponsors for H.R. 238 suggests that this bill is not ready for prime time just yet.
