AIMC Topic: Artificial Intelligence

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From Pixels to Prognosis: A Survey on AI-Driven Cancer Patient Survival Prediction Using Digital Histology Images.

Journal of imaging informatics in medicine
Survival analysis is an integral part of medical statistics that is extensively utilized to establish prognostic indices for mortality or disease recurrence, assess treatment efficacy, and tailor effective treatment plans. The identification of progn...

Applications of artificial intelligence in biliary tract cancers.

Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology
Biliary tract cancers are malignant neoplasms arising from bile duct epithelial cells. They include cholangiocarcinomas and gallbladder cancer. Gallbladder cancer has a marked geographical preference and is one of the most common cancers in women in ...

Artificial intelligence in shoulder and elbow surgery: overview of current and future applications.

Journal of shoulder and elbow surgery
Artificial intelligence (AI) is amongst the most rapidly growing technologies in orthopedic surgery. With the exponential growth in healthcare data, computing power, and complex predictive algorithms, this technology is poised to aid providers in dat...

Artificial Intelligence in Telemedicine: A Global Perspective Visualization Analysis.

Telemedicine journal and e-health : the official journal of the American Telemedicine Association

Artificial replication cohort: Leveraging AI-fabricated data for genetic studies.

Liver international : official journal of the International Association for the Study of the Liver
Recent advancements in artificial intelligence (AI) present both opportunities and challenges within the scientific community. This study explores the capability of AI to replicate findings from genetic research, focusing on findings from prior work....

Transforming Big Data into AI-ready data for nutrition and obesity research.

Obesity (Silver Spring, Md.)
OBJECTIVE: Big Data are increasingly used in obesity and nutrition research to gain new insights and derive personalized guidance; however, this data in raw form are often not usable. Substantial preprocessing, which requires machine learning (ML), h...

Prediction and Diagnosis of Breast Cancer Using Machine and Modern Deep Learning Models.

Asian Pacific journal of cancer prevention : APJCP
UNLABELLED: Background &Objective: Carcinoma of the breast is one of the major issues causing death in women, especially in developing countries. Timely prediction, detection, diagnosis, and efficient therapies have become critical to reducing death ...