Latest AI and machine learning research in fda general for healthcare professionals.
BACKGROUND: Clinical triage requires integrating multiple information sources to identify patients at risk of deterioration. Tools capturing global health assessments beyond disease-specific scores are being developed using either bottom-up aggregation of simple indicators or top-down machine learning from large datasets. Their alignment with expert clinical judgment remains poorly characterized. ...
BACKGROUND: A discharge summary should be a clinical report that documents a patient's hospital stay, including test results, diagnoses, management, and follow-up. Currently, discharge summaries are written by clinicians who manually locate pertinent information across the electronic health record, of which approximately 80% is free text. This process is time-consuming and may be suitable for auto...
The Heritage Cracks dataset contains a total of 1,716 high-resolution images documenting superficial cracking in ignimbrite masonry and lime-based pla...
Noncontact sensing is essential for smart manufacturing and safe human-machine interaction, yet existing proximity and inspection sensors are often li...
The miniaturization of conventional silicon-based devices is one of the pinnacles of achievement of the 20th century which evolved according to Moore'...
OBJECTIVE: Lung adenocarcinoma (LUAD) molecular heterogeneity limits traditional prognostic models. Given the emerging role of neural regulation (NR) ...
Wearable and textile-based technologies are transforming health monitoring by enabling continuous, non-invasive, and context-aware assessment of physi...
The development of antimicrobial resistance (AMR) is a major threat to global public health and environmental security. While antibiotics are known dr...
BACKGROUND: Colorectal cancer (CRC) is one of the most common malignancies worldwide and remains a major clinical challenge, underscoring the urgent n...
Complex diseases are commonly characterized by dysregulation across multiple targets and pathways, making drug combinations an important therapeutic s...
Tumor heterogeneity remains a major barrier to effective cancer therapy, driving the need for novel biomarkers and targeted strategies. A bibliometric...
The human brain maintains functional stability under changing conditions through interacting processes that include synaptic plasticity, homeostatic r...
INTRODUCTION: Artificial intelligence (AI) is increasingly used in tuberculosis (TB) diagnosis, but its clinical adoption depends not only on accuracy...
Artificial intelligence (AI) tools are rapidly being adopted in veterinary medicine. Unlike human medicine, where the Food and Drug Administration has...
Existing dietary patterns were not specifically designed to target osteoporosis and lack the precision required for effective prevention. We aimed to ...
Neuropilin-1 (NRP1) is a key mediator of tumor metastasis and progression by controlling cancer cell migration, angiogenesis, and tumor immune respons...
Postharvest losses of fruits and vegetables represent a global concern, as they are susceptible to spoilage and deterioration. In recent years, numero...
Ion channels are central to regulating neuronal communication, cardiac rhythm, and muscle contraction. Their modulation can induce therapeutic benefit...
Purpose To evaluate the value of a nomogram model incorporating clinical parameters, hematologic inflammatory biomarkers, and MRI radiomic features in...
Traditional Chinese foods are often characterized by high lipid contents, which create a persistent tension between preserving sensory authenticity an...