20+ hour, 17+ min ago  (169+ words) Agentic artificial intelligence (AI) systems are emerging as a transformative approach in healthcare, enabling autonomous task execution through integrated reasoning and tool use. While early implementations have largely relied on large language models (LLMs), growing evidence suggests that smaller language…...

1+ week, 2+ day ago  (402+ words) Introduction: Large language models are increasingly discussed as tools for patient-facing symptom assessment, but safe self-triage depends on the concrete next action recommended to the user rather than on generic urgency language alone. We audited whether a commercially deployed general-purpose…...

1+ week, 3+ day ago  (309+ words) Background: Persona prompting is widely used to steer large language models (LLMs), but its effects on safety-critical clinical reasoning are not well characterized. Methods: We performed a two-by-two factorial in silico experiment crossing time-pressure framing (high versus low) with optimization…...

2+ week, 4+ day ago  (438+ words) Introduction Breast cancer screening mammography faces challenges from variable radiologist performance and missed cancers. Deep learning segmentation models offer promise for automated lesion detection, but most training datasets are biased toward normal cases, limiting performance on clinically relevant abnormalities. Methods…...

3+ week, 1+ day ago  (212+ words) Artificial intelligence (AI) and machine learning (ML) are transforming diagnostic medicine, particularly in pathology, where image-based interpretation is central to clinical decision-making. This systematic review aimed to examine recent advances, performance outcomes, and practical challenges associated with incorporating AI and ML…...

3+ week, 2+ day ago  (281+ words) Background Malocclusion is a prevalent dental disorder characterized by the improper alignment of the teeth and jaws, which adversely affects oral function and aesthetics. Traditional diagnosis and treatment planning procedures are time-consuming and rely heavily on expert evaluation. Recent developments…...

3+ week, 4+ day ago  (324+ words) Introduction Accurate interpretation of radiographic images is crucial for general dentists in making diagnoses and treatment decisions for their patients, yet the reliability of their diagnoses is often uncertain. This study evaluates the diagnostic efficacy of the differential diagnosis software…...

3+ week, 5+ day ago  (123+ words) Artificial intelligence (AI) is now embedded across medical research and practice, reshaping how evidence is generated and evaluated. Rather than lowering standards, AI has intensified editorial expectations within medical journals. Editors prioritise clinically meaningful knowledge over technical novelty, demanding a…...

1+ mon, 1+ week ago  (1180+ words) Chingiz Asadov " Aytan Shirinova " Zohra Alimirzoyeva " Aypara Hasanova Cite this article as: Asadov C, Shirinova A, Alimirzoyeva Z, et al. (February 20, 2026) Digital Medicine and Artificial Intelligence in Chronic Myeloid Leukemia: Current Applications, Challenges, and Future Directions. Cureus 18(2): e103951. doi:10.7759/cureus.103951 In…...

1+ mon, 3+ week ago  (399+ words) Introduction Accurate cardiac image segmentation is essential for quantitative assessment of cardiac anatomy and function. Manual segmentation, while considered the reference standard, is time-consuming and subject to inter- and intra-observer variability. Deep learning (DL) models, particularly convolutional neural networks (CNNs), have…...