AIMC Topic: Pilot Projects
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A Pilot Analysis Investigating the Use of AI in Malingering.
The journal of the American Academy of Psychiatry and the Law
Jun 10, 2025
Generative artificial intelligence (AI), with its increasing ubiquity and power, will likely transform forensic psychiatry, sparking both advances and new challenges for the field. A possible consequence of the technology is that it will be used to a...
A pilot study for self-guided, active robotic training of proprioception of the upper limb in chronic stroke.
Journal of neuroengineering and rehabilitation
Jun 7, 2025
BACKGROUND: Proprioceptive impairments of the upper limb are common after stroke. These impairments are not typically addressed during assessment or rehabilitation. Currently, most robotic paradigms for training of the upper limb have focused solely ...
Artificial intelligence classifies surgical technical skills in simulated laparoscopy: a pilot study.
Surgical endoscopy
Jun 1, 2025
OBJECTIVE: To develop a computer algorithm for the automatic classification of basic surgical skills in laparoscopy. The ability to objectively assess the operative skills of trainees would be invaluable for the success of competency-based medical ed...
A Pilot Study on Deep Learning With Simplified Intravoxel Incoherent Motion Diffusion-Weighted MRI Parameters for Differentiating Hepatocellular Carcinoma From Other Common Liver Masses.
Topics in magnetic resonance imaging : TMRI
Jun 1, 2025
OBJECTIVES: To develop and evaluate a deep learning technique for the differentiation of hepatocellular carcinoma (HCC) using "simplified intravoxel incoherent motion (IVIM) parameters" derived from only 3 b-value images.
Middle Aged
Motion
Deep Learning
Reproducibility of Results
Image Interpretation, Computer-Assisted
Humans
Aged
Pilot Projects
Diffusion Magnetic Resonance Imaging
Retrospective Studies
Liver Neoplasms
Adult
Female
Carcinoma, Hepatocellular
Male
Image Processing, Computer-Assisted
Liver
Diagnosis, Differential
Machine learning-based detection and quantification of red blood cells in Cholistani cattle: A pilot study.
Research in veterinary science
Jun 1, 2025
This study presents the first account of using machine learning to detect and count normal and abnormal red blood cells (RBCs), including tear-drop cells and schistocytes, in Cholistani cattle from Pakistan. A Support Vector Machine (SVM) model was a...
Ai-Aun Chatbot: A Pilot Study on the Effectiveness of an Artificial Intelligence Intervention for Mental Health Among Thai Older Adults.
Nursing & health sciences
Jun 1, 2025
Mental health disorders are a significant concern for older adults. Technology has the potential to provide support and companionship, which may improve mental health outcomes. This pilot experimental study explored the feasibility and potential effe...
The Challenges of Using ChatGPT for Clinical Decision Support in Orthopaedic Surgery: A Pilot Study.
The Journal of the American Academy of Orthopaedic Surgeons
Jun 1, 2025
BACKGROUND: Artificial intelligence (AI) technologies have recently exploded in both accessibility and applicability, including in health care. Although studies have demonstrated its ability to adequately answer simple patient issues or multiple-choi...
Comparative Efficacy of MultiModal AI Methods in Screening for Major Depressive Disorder: Machine Learning Model Development Predictive Pilot Study.
JMIR formative research
May 30, 2025
BACKGROUND: Conventional approaches for major depressive disorder (MDD) screening rely on two effective but subjective paradigms: self-rated scales and clinical interviews. Artificial intelligence (AI) can potentially contribute to psychiatry, especi...
Artificial Intelligence Tools for Preconception Cardiomyopathy Screening Among Women of Reproductive Age.
Annals of family medicine
May 27, 2025
PURPOSE: Identifying cardiovascular disease before conception and in early pregnancy can better inform obstetric cardiovascular care. Our main objective was to evaluate the diagnostic performance of artificial intelligence (AI)-enabled digital tools ...
Balancing accuracy and cost in machine learning models for detecting medial vascular calcification in chronic kidney disease: a pilot study.
Scientific reports
May 20, 2025
Machine learning algorithms that integrate multiple biomarkers are increasingly used in disease detection, yet economic considerations are often overlooked. Medial vascular calcification (mVC), a pathology associated with elevated cardiovascular risk...
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