AIMC Topic: Humans

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Assessing the response quality and readability of chatbots in cardiovascular health, oncology, and psoriasis: A comparative study.

International journal of medical informatics
BACKGROUND: Chatbots using the Large Language Model (LLM) generate human responses to questions from all categories. Due to staff shortages in healthcare systems, patients waiting for an appointment increasingly use chatbots to get information about ...

Artificial Intelligence-Based Histopathological Subtyping of High-Grade Serous Ovarian Cancer.

The American journal of pathology
Four subtypes of ovarian high-grade serous carcinoma (HGSC) have previously been identified, each with different prognoses and drug sensitivities. However, the accuracy of classification depended on the assessor's experience. This study aimed to deve...

Interpretation of Artificial Intelligence Models in Healthcare: A Pictorial Guide for Clinicians.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
Artificial intelligence (AI) models can play a more effective role in managing patients with the explosion of digital health records available in the healthcare industry. Machine-learning (ML) and deep-learning (DL) techniques are two methods used to...

Reinforcement learning-based anatomical maps for pancreas subregion and duct segmentation.

Medical physics
BACKGROUND: The pancreas is a complex abdominal organ with many anatomical variations, and therefore automated pancreas segmentation from medical images is a challengingĀ application.

Integrated image-based deep learning and language models for primary diabetes care.

Nature medicine
Primary diabetes care and diabetic retinopathy (DR) screening persist as major public health challenges due to a shortage of trained primary care physicians (PCPs), particularly in low-resource settings. Here, to bridge the gaps, we developed an inte...

A microdiscectomy surgical video annotation framework for supervised machine learning applications.

International journal of computer assisted radiology and surgery
PURPOSE: Lumbar discectomy is among the most common spine procedures in the US, with 300,000 procedures performed each year. Like other surgical procedures, this procedure is not excluded from potential complications. This paper presents a video anno...

Deep coherence learning: An unsupervised deep beamformer for high quality single plane wave imaging in medical ultrasound.

Ultrasonics
Plane wave imaging (PWI) in medical ultrasound is becoming an important reconstruction method with high frame rates and new clinical applications. Recently, single PWI based on deep learning (DL) has been studied to overcome lowered frame rates of tr...

Synergizing blockchain and artificial intelligence to enhance healthcare.

Drug discovery today
This perspective paper explores the synergistic potential of blockchain and artificial intelligence (AI) in transforming healthcare. It begins with an overview of blockchain's role in healthcare data management, security, the pharmaceutical supply ch...

Navigating the future of health care with AI-driven digital therapeutics.

Drug discovery today
Digital therapeutics (DTx) is a recently conceived idea in health care that aims to cure ailments and modify patient behavior by employing a range of digital technologies. Notably, when traditional medication is not entirely efficacious, DTx offers a...

Enhancing identification performance of cognitive impairment high-risk based on a semi-supervised learning method.

Journal of biomedical informatics
BACKGROUND: Cognitive assessment plays a pivotal role in the early detection of cognitive impairment, particularly in the prevention and management of cognitive diseases such as Alzheimer's and Lewy body dementia. Large-scale screening relies heavily...