A new study led by investigators from Mass General Brigham has found that ChatGPT was about 72 percent accurate in overall clinical decision making, from coming up with possible diagnoses to making final diagnoses and care management decisions. The large-language model (LLM) artificial intelligence chatbot performed equally well in both primary care and emergency settings across all medical specialties.

Colorectal cancer (CRC) ranks second in leading causes of cancer-related deaths globally, according to the WHO. For the first time, researchers from Helmholtz Munich and the University of Technology Dresden (TU Dresden) show that artificial intelligence (AI)-based predictions can deliver comparable results to clinical tests on biopsies of patients with CRC.

Combining artificial intelligence (AI) systems for short- and long-term breast cancer risk results in an improved cancer risk assessment, according to a study published in Radiology, a journal of the Radiological Society of North America (RSNA).

Most breast cancer screening programs take a one-size-fits-all approach and follow the same protocols when it comes to determining a woman's lifetime risk of developing breast cancer.

For many patients, the internet serves as a powerful tool for self-education on medical topics. With ChatGPT now at patients’ fingertips, researchers from Brigham and Women’s Hospital, a founding member of the Mass General Brigham healthcare system, assessed how consistently the artificial intelligence chatbot provides recommendations for cancer treatment that align with National Comprehensive Cancer Network (NCCN) guidelines.

ChatGPT may match or even exceed the average grade of university students when answering assessment questions across a range of subjects including computer science, political studies, engineering, and psychology, reports a paper published in Scientific Reports. The research also found that almost three-quarters of students surveyed would use ChatGPT to help with their assignments, despite many educators considering its use to be plagiarism.

Access to a smartphone alcohol intervention app helped university students to cut down their overall alcohol consumption and the number of days they drank heavily, suggests a study published in The BMJ.

Unhealthy drinking is the biggest risk factor to health for 15 to 49-year olds, and unhealthy use of alcohol is especially prevalent among adult students, prompting the authors to design a smartphone app to encourage healthier drinking among this group.

The AI model was more efficient at detecting signatures of atrial septal defect (ASD) in electrocardiograms (ECG) than traditional methods.

Investigators from Brigham and Women's Hospital, a founding member of the Mass General Brigham healthcare system, and Keio University in Japan have developed a deep learning artificial intelligence model to screen electrocardiogram (ECG) for signs of atrial septal defects (ASD).