Search AI Products and News

In the realm of tech talent recruitment, Prova is leading a revolution. This Lehi, Utah-based startup leverages artificial intelligence to help companies more effectively assess the true skills of engineers. Founded in January 2025 by three engineers—Caden Beach, Giovanni Galbucci, and Leandro Cabranes—Prova aims to reshape the status quo of tech recruiting with AI. Traditional technical interview processes are often criticized for being outdated and inefficient. Galbucci...

Alibaba's AI model, DAMO PANDA, has recently received Breakthrough Device Designation from the U.S. Food and Drug Administration (FDA). This achievement marks a significant breakthrough in early pancreatic cancer screening, offering new possibilities for early diagnosis. DAMO PANDA, developed by Alibaba's DAMO Academy, is an AI model focused on pancreatic cancer screening. Its primary function is to analyze plain CT images and accurately identify subtle lesions that are difficult for the human eye to detect.

Alibaba's AI model, DAMO PANDA, has been officially designated a breakthrough medical device by the U.S. Food and Drug Administration (FDA). This certification marks a significant breakthrough for Alibaba in the field of AI-powered healthcare and represents the first time a leading Chinese tech company has received this prestigious recognition. DAMO PANDA, developed by Alibaba's DAMO Academy, is an AI model designed for pancreatic cancer screening. It aims to accurately identify subtle lesions in CT images, aiding in early detection of the disease.

A medical team at Ningbo University Affiliated People's Hospital recently used artificial intelligence to successfully detect early-stage pancreatic cancer in a seemingly routine case. 65-year-old Mr. Qiu visited the hospital due to dizziness for three consecutive days. While routine examinations revealed no abnormalities, the AI system, through in-depth analysis of his imaging data, issued a timely alert indicating a potential risk of pancreatic cancer. This case utilized a "Plain CT Scan + AI" approach, a cutting-edge technology that...

The University of Science and Technology of China (USTC) recently announced a significant breakthrough. Professor Sun Cheng's research group and collaborators have successfully developed the "TIMES" scoring system for predicting liver cancer recurrence, and have translated it into a publicly available, free AI diagnostic tool. The findings were published in the international academic journal Nature on March 13th, Beijing time. Liver cancer, the third leading cause of cancer-related deaths globally, has a recurrence rate of up to 70% after surgical resection. Accurate prediction of liver cancer recurrence has long been a medical challenge. The spatial distribution of immune cells in the tumor microenvironment significantly impacts patient prognosis, but previously...

A recent study reveals that a staggering 92% of UK university students utilize AI to complete their assignments, forcing universities to reassess their evaluation methods and adapt to this technological shift.

In today’s digital age, the application of artificial intelligence has expanded across various fields. Recent studies show that AI-generated social media influencers can effectively disseminate cancer prevention information at a low cost, becoming a new option for public health communication. Cancer has been one of the leading causes of death worldwide. Despite advances in treatment methods, prevention remains the most effective way to reduce the cancer burden. According to statistics, over two-thirds of early cancer deaths in 2020 were preventable. However, most existing digital resources are largely unknown to the target audience, especially among younger individuals.

Recently, at the annual meeting of the American College of Radiology, the AI company DeepHealth released a new research finding on breast cancer screening, demonstrating significant effects of artificial intelligence in this area. According to the study results, the breast cancer detection rate for women undergoing AI-enhanced scans is 21% higher than for those who did not use AI. The study involved a sample size of 747,604 women and covered one year of breast cancer screening data. Image source note: Image generated by AI, image licensed through Midjourney.

Recently, a unique AI capability assessment took place on the Minecraft platform, attracting a lot of attention. The old and new versions of Claude3.5Sonnet competed in building challenges, highlighting significant differences in their abilities, with the new version (tentatively called Sonnet3.6) performing especially well. This test, initiated by developer adi, has been humorously dubbed the only reliable assessment benchmark. Assessment researcher Aidan McLau believes this method precisely meets the current needs for AI evaluation and points out the relationship with aesthetic abilities.

On the front lines of the fight against cancer, scientists at Harvard Medical School have exciting news. They have recently launched a super smart AI model called CHIEF that can accurately diagnose various types of cancer, predict patient outcomes, and even recommend treatment plans. This AI acts like an all-in-one medical assistant, providing clear guidance to doctors in the complex realm of cancer diagnosis. CHIEF is a specially trained AI system that is distinctly different from traditional AIs that can only perform single tasks.

Researchers at Harvard Medical School have developed an AI model named CHIEF, which is capable of handling various cancer diagnostic processes, providing more accurate diagnoses and assessments of different cancers, predicting patient survival rates, and offering treatment recommendations. Compared to existing AI systems, CHIEF represents a significant breakthrough in flexibility and multifunctionality, being able to perform multiple tasks and tested on 19 types of cancer. By analyzing large amounts of image data, including unmarked images and complete slice images, CHIEF excels in cancer detection and tumor origin identification.