The heart of the matter -- The evolution of the French medicine -- Coping with physicians' conflicts of interest in France -- The rise of a protected medical market : the United States before 1950 -- The commercial transformation : the United States, 1950-1980 -- The logic of medical markets :...

Artificial intelligence (AI) is rapidly entering medical practice, whether for risk prediction, diagnosis, or treatment recommendation. But a persistent question keeps arising: What happens when things go wrong? When patients are injured, and AI was involved, who will be liable and how?...

Artificial intelligence surveillance can be used to diagnose individual cases, track the spread of COVID-19, and help provide care. The use of AI for surveillance purposes (such as detecting new COVID-19 cases and gathering data from healthy and ill individuals) in a pandemic raises multiple...

As the COVID-19 pandemic continues to ravage the globe, many nations have started to relax stringent restrictions in an effort to restart the economy. While Member States of the European Union have approached reopening without the use of antibody testing for COVID-19, such testing may be central...

Reimbursement is a key challenge for many new digital health solutions, whose importance and value have been highlighted and expanded by the current COVID-19 pandemic. Germany’s new Digital Healthcare Act (Digitale–Versorgung–Gesetz or DVG) entitles all individuals covered by statutory...

Employers and governments are interested in the use of serological (antibody) testing to allow people to return to work before there is a vaccine for SARS-CoV-2. We articulate the preconditions needed for the implementation of antibody testing, including the role of the U.S. Food & Drug...

Direct-to-consumer medical artificial intelligence/machine learning applications are increasingly used for a variety of diagnostic assessments, and the emphasis on telemedicine and home healthcare during the COVID-19 pandemic may further stimulate their adoption. In this Perspective, we argue...

Artificial intelligence (AI) and Machine learning (ML) systems in medicine are poised to significantly improve health care, for example, by offering earlier diagnoses of diseases or recommending optimally individualized treatment plans. However, the emergence of AI/ML in medicine also creates...

Artificial intelligence (AI), especially its subset machine learning, has tremendous potential to improve health care. However, health AI also raises new regulatory challenges. In this Article, I argue that there is a need for a new regulatory framework for AI-based medical devices in the U.S....

The COVID-19 pandemic has highlighted that leveraging medical big data can help to better predict and control outbreaks from the outset. However, there are still challenges to overcome in the 21st century to efficiently use medical big data, promote innovation and public health activities and,...