Noetik, a biotechnology company focused on artificial intelligence, announced that it has successfully completed a $40 million Series A funding round. The round was led by Polaris Partners, with participation from new investors including Khosla Ventures, Wittington Ventures, Breakout Ventures, as well as existing investors DCVC, Zetta Venture Partners, and Catalio Capital Management.

Perceptive has developed the world's first fully automated AI robot dentist, successfully performing the first complete dental surgery on human patients at a speed 8 times faster than that of human doctors. This innovation introduces the OCT3D imaging system, which uses optical coherence tomography technology to generate 3D images of the inside of teeth, providing high resolution and precise location accuracy, superior to traditional X-rays, and without radiation hazards. The motion structure method adopted by Perceptive addresses the issue of image blurriness, achieving pathological localization accuracy of 20 microns.

Recently, an international team of researchers from China and Singapore successfully developed the world's first multi-modal artificial intelligence system for diabetes diagnosis and treatment, DeepDR-LLM. The research findings were published in Nature Medicine on July 19, 2024.

Recent studies indicate that ChatGPT may outperform doctors in adhering to depression treatment standards, eliminating gender and social class biases. The research, published in the journal 'Family Medicine and Community Health', compares ChatGPT's performance with that of French doctors. In mild cases, ChatGPT demonstrated higher accuracy, providing recommendations that align with clinical guidelines. Despite its potential, researchers emphasize that AI should not replace human clinical judgment, raising ethical and moral concerns.

Recent research has found that using artificial intelligence (AI) software can significantly improve the detection speed of large vessel occlusion (LVO) in stroke patients, thereby shortening treatment times and potentially improving treatment outcomes. Through clinical trials at four comprehensive stroke centers, researchers discovered that the automated system was associated with a 60% reduction in mortality rates. This study evaluated the effectiveness of using automated software to detect LVO from computed tomography (CT) angiography images. The research found that after the introduction of the AI system, the process for treating patients in the hospital was streamlined.

Doctors at Galilee Medical Center in Israel successfully saved the life of a 50-year-old patient using artificial intelligence technology. The patient, who had been suffering from headaches for several days, underwent a CT scan of the head. An AI-assisted diagnostic program detected the risk of intracranial bleeding in advance, quickly recalled the patient, and performed emergency surgery, saving his life. This AI program, called Viz.ai, uses advanced FDA-certified algorithms to analyze medical imaging data such as CT scans, providing real-time insights and automated assessments, accelerating the diagnostic and treatment process.

Researchers evaluated the reliability of cancer treatment recommendations provided by large language model chatbots and found that 33.33% of the suggestions were not fully aligned with established guidelines. The chatbot recommendations did not fully align with NCCN guidelines, and experts also failed to detect these errors, highlighting that LLM chatbots perform below average in providing reliable and accurate cancer treatment advice. Given the widespread use of AI, healthcare providers need to adequately educate patients about the potential risks of misinformation that this technology may provide.