MACHINE LEARNING
Clinical trials for MACHINE LEARNING explained in plain language.
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AI eye scan could diagnose brain diseases in seconds
Diagnosis CompletedResearchers tested an artificial intelligence program that analyzes retinal images to diagnose several nerve and brain conditions, such as optic neuropathy and brain tumors. The study used data from 693 patients with confirmed diagnoses. The goal is to create a fast triage tool f…
Matched conditions: MACHINE LEARNING
Sponsor: Fondation Ophtalmologique Adolphe de Rothschild • Aim: Diagnosis
Last updated Jun 26, 2026 14:30 UTC
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AI predicts who will survive lung failure after turning therapy
Knowledge-focused CompletedThis study looks at 377 adults with severe lung failure (ARDS) who were treated with prone positioning (lying face down to help breathing). Researchers will use computer models to predict which patients are at highest risk of dying in the ICU. The goal is to help doctors make bet…
Matched conditions: MACHINE LEARNING
Sponsor: Shanghai Zhongshan Hospital • Aim: Knowledge-focused
Last updated Aug 16, 2026 00:00 UTC
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AI takes the guesswork out of anesthesia timing
Knowledge-focused CompletedThis study looks at whether machine learning (a type of artificial intelligence) can accurately predict how long spinal anesthesia lasts in people having knee replacement surgery. Researchers will use patient information like age, surgery details, and anesthesia data to train com…
Matched conditions: MACHINE LEARNING
Sponsor: Kocaeli City Hospital • Aim: Knowledge-focused
Last updated Aug 15, 2026 00:00 UTC
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AI predicts vaccine refusal in parents of young kids
Knowledge-focused CompletedThis study aims to understand why some parents of children aged 0-4 years are hesitant about vaccines. Researchers will use machine learning to analyze survey responses from 600 parents in Turkey. The goal is to build a model that can predict vaccine refusal, helping public healt…
Matched conditions: MACHINE LEARNING
Sponsor: University of Yalova • Aim: Knowledge-focused
Last updated Jul 16, 2026 00:00 UTC
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AI model may personalize liver cancer care after surgery
Knowledge-focused CompletedThis study analyzed data from 1005 liver cancer patients to see who benefits from a treatment called TACE after surgery. Using machine learning, researchers aimed to predict individual patient outcomes. The goal is to help doctors decide whether to recommend TACE or just monitor …
Matched conditions: MACHINE LEARNING
Sponsor: Anhui Provincial Hospital • Aim: Knowledge-focused
Last updated Jul 11, 2026 00:00 UTC
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AI vs. doctors: who spots kidney danger from chemo first?
Knowledge-focused CompletedThis study tested whether a machine learning model could predict kidney injury caused by platinum chemotherapy more accurately than doctors. Researchers followed 77 cancer patients receiving cisplatin or carboplatin, tracking their kidney function over time. The goal was to see i…
Matched conditions: MACHINE LEARNING
Sponsor: Taipei Medical University • Aim: Knowledge-focused
Last updated Jun 27, 2026 08:09 UTC
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AI camera system could predict patient falls before they happen
Knowledge-focused CompletedThis study tested a new system that uses cameras and artificial intelligence to predict fall risk in hospital patients. 177 adults walked in a corridor while a camera and a phone accelerometer recorded their movements. The system analyzed their gait to estimate fall risk, aiming …
Matched conditions: MACHINE LEARNING
Sponsor: Inonu University • Aim: Knowledge-focused
Last updated Jun 27, 2026 08:01 UTC
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AI model could spot hidden pancreatic cancer in chronic pancreatitis patients
Knowledge-focused CompletedThis study tested a computer model (XGBoost) to predict whether suspicious spots on CT scans in people with chronic pancreatitis are cancerous. Researchers analyzed data from 113 patients to see how accurate the model was. The goal is to help doctors make better decisions without…
Matched conditions: MACHINE LEARNING
Sponsor: Changhai Hospital • Aim: Knowledge-focused
Last updated Jun 27, 2026 07:53 UTC