Amazon Responsible for Hazardous Products Sold by Third-party Sellers on Platform

FILE PHOTO: The logo of Amazon is seen at the company logistics center in Boves, France, May 13, 2019. REUTERS/Pascal Rossignol/File Photo
FILE PHOTO: The logo of Amazon is seen at the company logistics center in Boves, France, May 13, 2019. REUTERS/Pascal Rossignol/File Photo
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Amazon Responsible for Hazardous Products Sold by Third-party Sellers on Platform

FILE PHOTO: The logo of Amazon is seen at the company logistics center in Boves, France, May 13, 2019. REUTERS/Pascal Rossignol/File Photo
FILE PHOTO: The logo of Amazon is seen at the company logistics center in Boves, France, May 13, 2019. REUTERS/Pascal Rossignol/File Photo

Amazon.com is responsible under federal safety law for hazardous products sold by third-party sellers on its platform and bears legal responsibility for their recall, the US Consumer Product Safety Commission (CPSC) said on Tuesday.

The agency said it has issued an order for Amazon to propose remediation plans to notify consumers about the hazardous products and to remove them from consumers' homes by encouraging returns or destruction, Reuters reported.

More than 400,000 products are subject to this order, the CPSC said, noting in particular faulty carbon monoxide detectors, hairdryers without electrocution protection, and children's sleepwear that violated federal flammability standards.

Amazon was a "distributor" of such defective products as they are listed on their website and sold by third-party sellers under the "Fulfilled by Amazon" program, the agency said.



SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI
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SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

The Center of Excellence for Data Science and Artificial Intelligence at the Saudi Data and Artificial Intelligence Authority (SDAIA) and King Abdullah University of Science and Technology (KAUST) have introduced the MiniGPT-Med model.

The large multi-modal language model is designed to help doctors quickly and accurately diagnose medical radiology using artificial intelligence techniques.

Dr. Ahmed Alsinan, the Artificial Intelligence Advisor at the National Center for Artificial Intelligence and head of the scientific team at SDAIA, explained that the MiniGPT-Med model is capable of performing various tasks such as generating medical reports, answering medical visual questions, describing diseases, locating diseases, identifying diseases, and documenting medical descriptions based on entered medical images.

The model was trained on different medical images, including X-rays, CT scans, and MRIs.

The MiniGPT-Med model, derived from large-scale language models, is specifically tailored for medical applications and demonstrates significant versatility across different imaging methods, including X-rays, CT scans, and MRI. This enhances its utility in medical diagnosis.

Dr. Alsinan highlighted that the MiniGPT-Med model was developed collaboratively by artificial intelligence specialists from SDAIA and KAUST.

The model exhibits advanced performance in generating medical reports, achieving 19% higher efficiency than previous models. It serves as a general interface for radiology diagnosis, enhancing diagnostic efficiency across various medical imaging applications.