AIMC Topic: Humans

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Development and Application of Traditional Chinese Medicine Using AI Machine Learning and Deep Learning Strategies.

The American journal of Chinese medicine
Traditional Chinese medicine (TCM) has been used for thousands of years and has been proven to be effective at treating many complicated illnesses with minimal side effects. The application and advancement of TCM are, however, constrained by the abse...

Frequently asked questions on erectile dysfunction: evaluating artificial intelligence answers with expert mentorship.

International journal of impotence research
The present study assessed the accuracy of artificiaI intelligence-generated responses to frequently asked questions on erectile dysfunction. A cross-sectional analysis involved 56 erectile dysfunction-related questions searched on Google, categorize...

Using machine learning to increase access to and engagement with trauma-focused interventions for posttraumatic stress disorder.

The British journal of clinical psychology
BACKGROUND: Post-traumatic stress disorder (PTSD) poses a global public health challenge. Evidence-based psychotherapies (EBPs) for PTSD reduce symptoms and improve functioning (Forbes et al., Guilford Press, 2020, 3). However, a number of barriers t...

Woven Fabric Muscle for Soft Wearable Robotic Application Using Two-Dimensional Zigzag Shape Memory Alloy Actuator.

Soft robotics
In this study, we propose a fabric muscle based on the Zigzag Shape Memory Alloy (ZSMA) actuator. Soft wearable robots have been gaining attention due to their flexibility and the ability to provide significant power support to the user without hinde...

Prediction of 6-Mo Poststroke Spasticity in Patients With Acute First-Ever Stroke by Machine Learning.

American journal of physical medicine & rehabilitation
OBJECTIVE: Poststroke spasticity reduces arm function and leads to low levels of independence. This study suggested applying machine learning from routinely available data to support the clinical management of poststroke spasticity.

Factors influencing the development of artificial intelligence in orthodontics.

Orthodontics & craniofacial research
OBJECTIVES: Since developing AI procedures demands significant computing resources and time, the implementation of a careful experimental design is essential. The purpose of this study was to investigate factors influencing the development of AI in o...

Characterizing Osteophyte Formation in Knee Osteoarthritis: Application of Machine Learning Quantification of a Computerized Tomography Cohort: Implications for Treatment.

The Journal of arthroplasty
BACKGROUND: Osteophytes are commonly used to diagnose and guide knee osteoarthritis (OA) treatment, but their causes are unclear. Although they are not typically the focus of knee arthroplasty surgeons, they can predict case difficulty and length. Fu...

Applications of Artificial Intelligence in Acute Abdominal Imaging.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes
Artificial intelligence (AI) is a rapidly growing field with significant implications for radiology. Acute abdominal pain is a common clinical presentation that can range from benign conditions to life-threatening emergencies. The critical nature of ...

Artificial Intelligence in Laryngology, Broncho-Esophagology, and Sleep Surgery.

Otolaryngologic clinics of North America
Technological advancements in laryngology, broncho-esophagology, and sleep surgery have enabled the collection of increasing amounts of complex data for diagnosis and treatment of voice, swallowing, and sleep disorders. Clinicians face challenges in ...