Results 201 to 210 of about 151,392 (289)

Random forests algorithm using basic medical data for predicting the presence of colonic polyps. [PDF]

open access: yesFront Surg
Avram MF   +6 more
europepmc   +1 more source

Association of Triglyceride With Incident Cancer: An Analysis of the Whole‐Body Cancer Screening Program in Japan

open access: yesHealth Science Reports, Volume 9, Issue 4, April 2026.
ABSTRACT Background and Aims To examine the association of cancer development with various risk factors, we used data from participants of a whole‐body cancer screening program at the Hamamatsu Medical Imaging Center in Japan. Methods For associations between cancer development and various risk factors, the Cox proportional hazards model was used to ...
Satoshi Teramukai   +7 more
wiley   +1 more source

Angiosarcoma characterized by colonic polyps: A case report. [PDF]

open access: yesMedicine (Baltimore), 2020
Zhao F, Pan H, Wang X.
europepmc   +1 more source

ChatGPT‐Assisted Image Interpretation for Inflammatory Bowel Diseases: Ulcerative Colitis and Crohn's Disease

open access: yesJGH Open, Volume 10, Issue 4, April 2026.
ABSTRACT Objective Differentiating ulcerative colitis (UC) from Crohn's disease (CD) is challenging, particularly for nonexperts. Although artificial‐intelligence‐based image analysis has advanced endoscopic diagnosis, large language models of inflammatory bowel disease (IBD) require clinical validation.
Hiroki Uekado   +15 more
wiley   +1 more source

Integrating artificial intelligence (AI) into colorectal cancer reporting

open access: yesThe Journal of Pathology, Volume 268, Issue 4, Page 367-382, April 2026.
Abstract Artificial intelligence (AI) and deep learning (DL) are transforming cancer research and clinical care, with histopathology playing a central role in this transformation. In colorectal cancer (CRC), the second leading cause of cancer mortality world‐wide, multimodal and vision‐language models (VLMs) hold particular promise for enhancing the ...
Konstantin Bräutigam   +4 more
wiley   +1 more source

Exploring Women's Experiences of Information Across Their Endometrial Cancer Diagnosis and Treatment: A Qualitative Analysis

open access: yesPsycho-Oncology, Volume 35, Issue 4, April 2026.
ABSTRACT Background Access to timely and appropriate information is a key component of quality cancer care. Aims This study aimed to fill an important gap regarding the information experiences of women with endometrial cancer from diagnosis to treatment.
Britta Wigginton   +4 more
wiley   +1 more source

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