Jean-Michel Besnier is a French philosopher who teaches at Sorbonne University in Paris. His research focuses on the philosophical and ethical impact of science and technology on individual and collective representations and imagination. We met with him to talk about the consequences of the explosion of robotics and artificial intelligence (AI) in the healthcare sector, especially since the beginning of the Covid-19 pandemic. MedicalExpo e-magazine: Can you give us your definition of artificial intelligence? Jean-Michel Besnier: I have the same definition that everyone has. I am more attentive to the conceptual extension of the notion of artificial intelligence, which at the beginning referred to something rather simple, that is to say the implementation of devices capable of solving problems in an automatic or algorithmic way.

What factors influence human trust in artificial intelligence (AI)? And how can trust in AI be optimized to improve medical decision-making and enhance patient outcomes? These are questions that need to be answered before AI can realize its full potential in the healthcare workspace, as experts explained during a conference session at Virtual CES 2021. AI is a rapidly developing technology with the potential to disrupt healthcare on a massive scale. Machine learning algorithms are increasingly capable of performing tasks with greater accuracy, efficiency and effectiveness than healthcare professionals, including everything from triaging patients for medical attention to identifying trends in huge quantities of clinical data.

What factors influence human trust in artificial intelligence (AI)? And how can trust in AI be optimized to improve medical decision-making and enhance patient outcomes? These are questions that need to be answered before AI can realize its full potential in the healthcare workspace, as experts explained during a conference session at Virtual CES 2021. AI is a rapidly developing technology with the potential to disrupt healthcare on a massive scale. Machine learning algorithms are increasingly capable of performing tasks with greater accuracy, efficiency and effectiveness than healthcare professionals, including everything from triaging patients for medical attention to identifying trends in huge quantities of clinical data.

Artificial intelligence is one of the most common and preferred tools China like to mobilize for controlling the flow of its people. A large number of sensors and body scanners have been installed in metros and bus stations in major cities. The South China Morning Post reported that Chinese technology leader, Baidu, has developed an innovative tool that is able to detect at-risk individuals. Its system is using AI to direct infrared sensors at the foreheads of moving passengers. Invisible to the naked eye, this beam can detect the body heat of users and report any anomaly to the authorities.

It's impossible to talk about artificial intelligence without mentioning IBM's Watson. A pioneer in cognitive computing, the American computer giant has found multiple health applications for Watson. Pascal Sempé, senior sales consultant for Watson Health Solutions in France, explained how Watson functions and what's at stake. ME e-mag: Could Watson ever replace doctors? Pascal Sempé: Watson is a tool that helps the doctor, certainly not one that tells the doctor what to do.

Artificial intelligence (AI) was a key topic at both MEDICA and the RSNA conference this year. But what are its applications in healthcare in general and radiology in particular? And what are the barriers? Dr. Michael Forsting, director of the Institute of Diagnostic and Interventional Radiology and...

Artificial intelligence could revolutionize gene therapy and precision medicine, making individualized treatment protocols the norm. When research began on the human genome in the early 1990s, many doctors anticipated an age of precision medicine (PM), with patients taking highly customized drugs targeting the specific genetic drivers of their disease or condition. Today, as artificial intelligence (AI) and machine learning (ML) play a greater role in gene therapy, one-size-fits-all medicine is on the way out. After years of setbacks, gene therapy is now generating headlines for all the right reasons. In March 2017, it was announced that a French teenager had been cured of sickle-cell disease after receiving gene therapy in 2015.

Artificial intelligence (AI) was a key topic at both MEDICA and the RSNA conference this year. But what are its applications in healthcare in general and radiology in particular? And what are the barriers? Dr. Michael Forsting, director of the Institute of Diagnostic and Interventional Radiology and Neuroradiology at Essen University Hospital in Germany talked to MedicalExpo e-magazine about his experiences with AI. MedicalExpo e-magazine: What are the major challenges facing AI in healthcare?

Artificial intelligence (AI) was a key topic at both MEDICA and the RSNA conference this year. But what are its applications in healthcare in general and radiology in particular? And what are the barriers? Dr. Michael Forsting, director of the Institute of Diagnostic and Interventional Radiology and Neuroradiology at Essen University Hospital in Germany talked to MedicalExpo e-magazine about his experiences with AI. MedicalExpo e-magazine: What are the major challenges facing AI in healthcare?

It's impossible to talk about artificial intelligence without mentioning IBM's Watson. A pioneer in cognitive computing, the American computer giant has found multiple health applications for Watson. Pascal Sempé, senior sales consultant for Watson Health Solutions in France, explained how Watson functions and what's at stake. Pascal Sempé: Watson is a tool that helps the doctor, certainly not one that tells the doctor what to do. Using Watson doesn't mean the doctor won't examine patients or ask questions.