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.

The AI-controlled fully automated robot dentist developed by Perceptive in Boston has successfully completed an entire dental surgery for human patients for the first time, operating eight times faster than human doctors. This innovative technology utilizes a handheld 3D volumetric scanner and optical coherence tomography to create a three-dimensional model of the mouth, avoiding X-ray radiation, and can accurately detect 90% of cavities. The robot discusses treatment plans with the patient and human doctors before the surgery, then takes over, planning and swiftly executing the surgical process. The first specialized field is preparing for dental crowns, which typically takes two hours.

Doctors using unregulated AI tools to assist in patient diagnosis has raised concerns among regulatory agencies. They believe that untested AI tools may lead to risks of malpractice lawsuits. The complexity of artificial intelligence models makes it difficult to explain their mechanisms, increasing regulatory challenges.

Lawyers in California express the greatest concern regarding the development of artificial intelligence (AI), ranking at the top. Artists, accountants, doctors, and data analysts follow in the top five professions worried about AI. The research indicates that in the future, AI may work more alongside humans in these fields rather than completely replacing them.

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.

With a surge in global breast cancer cases, early detection is vital. A study by the University of Nottingham compared the accuracy of AI and doctors in interpreting breast X-rays. The commercial AI Lunit performed comparably to human physicians, offering new insights for clinical practice. Breast cancer rates are high, but early intervention can improve survival rates. The results of AI screening for breast X-rays provide strong support for AI in the medical field.

A mother spent three years searching for the cause of her son's chronic headaches, but 17 doctors were unable to provide a diagnosis. Ultimately, by inputting data into ChatGPT, she received the correct diagnosis: tethered cord syndrome. This highlights the potential of artificial intelligence systems in diagnosing complex medical conditions, but also raises concerns about the risk of misinformation, necessitating further discussion and regulation.

ChatGPT assisted in diagnosing a child with Cauda Equina Syndrome after 3 years of the child's mother reporting health concerns and 17 doctors failing to provide a diagnosis. The mother input the medical history into ChatGPT, leading to the diagnosis. The child is now undergoing surgical treatment and is in the rehabilitation phase, validating ChatGPT's application in the medical field.

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.