Recent advances in AI combine large language models (LLMs) with vision encoders that
bring forward unprecedented technical capabilities to leverage for a wide range of …

Mitosis is a critical criterion for meningioma grading. However, pathologists' assessment of
mitoses is subject to significant inter-observer variation due to challenges in locating mitosis …

AI is anticipated to enhance human decision-making in high-stakes domains like aviation,
but adoption is often hindered by challenges such as inappropriate reliance and poor …

Through iterative, cross-disciplinary discussions, we define and propose next-steps for
Human-centered Generative AI (HGAI) from a technical perspective. We contribute a …

Videos are prominent learning materials to prepare surgical trainees before they enter the
operating room (OR). In this work, we explore techniques to enrich the video-based surgery …

Clinicians increasingly pay attention to Artificial Intelligence (AI) to improve the quality and
timeliness of their services. There are converging opinions on the need for Explainable AI …

Highlights•Synergic AI pathologist models can enhance accuracy and efficiency in cancer
diagnosis.•Human–machine interactions are tailored by sex, age, place of practice, and …

Timely detection of Barrett's esophagus, the pre-malignant condition of esophageal
adenocarcinoma, can improve patient survival rates. The Cytosponge-TFF3 test, a non …

Early detection and intervention for relapse is important in the treatment of schizophrenia
spectrum disorders. Researchers have developed AI models to predict relapse from patient …

The integration of advanced technologies in healthcare necessitates the development of
systems accommodating the daily routines in medical practices. Neurosurgeons, in …