AIMC Topic: Humans

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An integrated nomogram combining deep learning, clinical characteristics and ultrasound features for predicting central lymph node metastasis in papillary thyroid cancer: A multicenter study.

Frontiers in endocrinology
OBJECTIVE: Central lymph node metastasis (CLNM) is a predictor of poor prognosis for papillary thyroid carcinoma (PTC) patients. The options for surgeon operation or follow-up depend on the state of CLNM while accurate prediction is a challenge for r...

Ant Colony Optimization-Enabled CNN Deep Learning Technique for Accurate Detection of Cervical Cancer.

BioMed research international
Cancer is characterized by abnormal cell growth and proliferation, which are both diagnostic indicators of the disease. When cancerous cells enter one organ, there is a risk that they may spread to adjacent tissues and eventually to other organs. Can...

Reaction moments matter when designing lower-extremity robots for tripping recovery.

PloS one
Balance recovery after tripping often requires an active adaptation of foot placement. Thus far, few attempts have been made to actively assist forward foot placement for balance recovery employing wearable devices. This study aims to explore the pos...

Deep-learning-based prognostic modeling for incident heart failure in patients with diabetes using electronic health records: A retrospective cohort study.

PloS one
Patients with type 2 diabetes mellitus (T2DM) have more than twice the risk of developing heart failure (HF) compared to patients without diabetes. The present study is aimed to build an artificial intelligence (AI) prognostic model that takes in acc...

Automatic Detection of Peripheral Retinal Lesions From Ultrawide-Field Fundus Images Using Deep Learning.

Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
PURPOSE: To establish a multilabel-based deep learning (DL) algorithm for automatic detection and categorization of clinically significant peripheral retinal lesions using ultrawide-field fundus images.

Deep Learning Approach for MRI in the Classification of Anterior Talofibular Ligament Injuries.

Journal of magnetic resonance imaging : JMRI
BACKGROUND: Diagnosing anterior talofibular ligament (ATFL) injuries differs among radiologists. Further assessment of ATFL tears is valuable for clinical decision-making.

Cumulative sum analysis of the learning curve of laparoendoscopic single-site robot-assisted radical prostatectomy.

Asian journal of surgery
BACKGROUND: Radical prostatectomy has become the gold standard for treating localized prostate cancer. Improvement in the single-site technique and surgeon's skill reduces not only the hospital duration but also the number of wounds. Realizing the le...

Clinical application of artificial intelligence algorithm for prediction of one-year mortality in heart failure patients.

Heart and vessels
Risk prediction for heart failure (HF) using machine learning methods (MLM) has not yet been established at practical application levels in clinical settings. This study aimed to create a new risk prediction model for HF with a minimum number of pred...

Artificial Intelligence in Nuclear Cardiology.

Cardiology clinics
Artificial intelligence (AI) encompasses a variety of computer algorithms that have a wide range of potential clinical applications in nuclear cardiology. This article will introduce core terminology and concepts for AI including classifications of A...

Advances in materials-based therapeutic strategies against osteoporosis.

Biomaterials
Osteoporosis is caused by the disruption in homeostasis between bone formation and bone resorption. Conventional management of osteoporosis involves systematic drug administration and hormonal therapy. These treatment strategies have limited curative...