Generative AI (GenAI) models have demonstrated remarkable capabilities in a wide variety of medical tasks. However, as these models are trained using generalist datasets with very limited human oversight, they can learn uses of medical products that have not been adequately evaluated for safety and efficacy, nor approved by regulatory agencies. Given the scale at which GenAI may reach users, unvetted recommendations pose a public health risk. In this work, we propose an approach to identify potentially harmful product recommendations, and demonstrate it using a recent multimodal large language model.

Many companies seem eager to leverage artificial intelligence and machine learning capabilities, if for no other reason than to be able to let their employees, customers, and business partners know that they're on the leading edge of technology progress. At the same time, a lot of businesses are looking to enhance the experiences of customers and channel partners, in order to increase brand loyalty, boost sales, and gain market share--among other reasons. Some have found a way to combine these goals, using AI-powered tools to improve the way they deliver products, services, and support to their clients and business partners. G&J Pepsi-Cola Bottlers began its foray into AI and machine learning in January 2020, when it partnered with Microsoft to better understand the AI and machine learning components within Microsoft's Azure cloud platform. With guidance from Microsoft's data science team, "we spent time understanding the environment, required skill sets, and began ingesting various data components within Azure ML to provide predicted outcomes," says Brian Balzer, vice president of digital technology and business transformation at G&J Pepsi.

Fujifilm India is eyeing double-digit growth every year from now, against the 9-10 per cent growth it has been clocking over the past few years, largely driven by an expansion of its medical products business. This would entail a shift in focus to offering medical solutions through Internet of Things (IoT)-enabled products. While the company has not invested in any manufacturing facility at the moment, it may consider setting up one here in the future for IoT- and artificial intelligence (AI)-enabled medical products, considering the huge potential in India, Haruto Iwata, Managing Director, Fujifilm India, told BusinessLine. Some of the company's IoT application software is already being developed in India, he added. Going forward, Fujifilm India's primary focus will be on offering healthcare solutions through AI and IoT, he said.

To see the new trends in radiology in 2018, just take a look back at 2017. AI has come a long way; wearables have become every day, 3D printing has matured, and IoT is, well, meh. Where is Artificial Intelligence (AI) in radiology today? This year, AI is gaining in respect and stature among radiology professionals. Last year in Everything Rad, we reported that AI inspired a mixture of wonder and fear among the radiology community.