深度学习模型用于识别早产的代谢性骨病,使用手腕放射图
Seul Gi Park1,2,3, Seoi Jeong4,5,6, Minwoo Cho5,6,7
1Department of Pediatrics , SMG-SNU Boramae Medical Center , Seoul, Republic of Korea.
Scientific reports
|February 8, 2026
概括
一个新的深度学习模型使用手腕X射线准确地识别了早产的代谢性骨病 (MBD). 这个AI工具帮助临床医生,特别是非放射科医生,在早期的MBD诊断和治疗中.
科学领域:
- 医疗成像医学成像
- 人工智能在医学中的应用
- 新生儿科学 新生儿科学
背景情况:
- 过早产生的代谢性骨病 (MBD) 是早产婴儿的常见并发症.
- 早期发现MBD对于及时干预和预防长期并发症至关重要.
- 放射性评估MBD是必不可少的,但可能是具有挑战性的,特别是对于非专家.
研究的目的:
- 开发和验证一个深度学习模型,用于识别早产期MBD的放射特征.
- 评估这种人工智能驱动的决策支持对临床诊断的影响.
- 评估模型在广泛的临床环境中的性能.
主要方法:
- 对早产婴儿 (<1500克出生体重) 的回顾性研究,用手腕放射图.
- 在内部数据集上开发和培训基于DenseNet的深度学习模型.
- 在外部数据集和读者研究中对模型的验证.
- 使用AUROC的性能评估,灵敏度,特异性和准确性.
主要成果:
- 在内部数据集上,DenseNet模型实现了高性能 (AUROC:0.961,准确率:92.0%).
- 外部验证证明了强大的通用性 (AUROC:0.927).
- 人工智能模型显著提高了非放射科医生的诊断准确性 (65.4%至78.7%).
结论:
- 基于手腕放射的深度学习模型有效地识别了早产的MBD.
- 该模型显示了广泛临床应用的潜力,有助于及时诊断.
- 这种人工智能工具可以增强诊断能力,特别是非放射科医生的诊断能力,从而改善患者的治疗结果.
相关概念视频
00:52What is Metabolism?
132.1K
Overview
132.1K
01:14Effect of Hepatic Disease on Pharmacokinetics: Active Drug, Metabolite and Fraction of Metabolized Drug
234
In pharmacotherapy, monitoring drug concentrations is paramount, especially for drugs whose therapeutic effects hinge on both the active compound and its metabolite. Hepatic impairment profoundly influences drug potency by altering liver function. If the drug is more potent than its metabolite, impaired liver function amplifies drug activity due to elevated drug concentration levels. Conversely, if the metabolite holds greater potency, diminished liver function diminishes drug activity by...
234
01:14Avoidance Learning and Learned Helplessness
2.6K
Avoidance learning and learned helplessness are critical concepts in understanding behavioral responses to negative stimuli.
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...
2.6K
01:27Associative Learning
1.4K
Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
Classical conditioning, also known...
1.4K
01:22Purposive Learning
515
E. C. Tolman emphasized the purposiveness of behavior — the idea that much of our behavior is goal-directed. For instance, employees who aim for a promotion work diligently to meet their targets. Tolman argued that when classical conditioning and operant conditioning occur, the organism acquires certain expectations. In classical conditioning, a child might fear a dog because they expect it to bite. In operant conditioning, a person might consistently work overtime because they expect a...
515
01:12Observational Learning
1.0K
Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
1.0K