Category: AI
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AI driven, music-triggered brain state therapy for pain, sleep, stress, gait
The Sync Project has developed a novel, music-based, non-pharmaceutical approach to treating pain, sleep, stress, and Parkinson’s gait issues. Recent studies showed Parkinson’s patients improved their gait when listening to a song with the right beat pattern, and post surgery patients used 1/3 the amount of self-administered morphine after listening to an hour of music.…
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AI assistant addresses specific needs of seniors
ElliQ is AI assistant that intuitively interacts with seniors to support independent living. The NLP based system enables users to make video calls, play games, and use social media. Music, TED talks, audio books,and other content is recommended, after machine learning tools analyze user preferences (or caregiver input is received.) Physical activity is suggested after…
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Sensor, data, and AI-driven primary care
Forward has brought advanced technology to well-care. Patient/Members are integrated into the practice with a baseline screening via body scans, blood and genetic tests. They are then given consumer and medical wearables, which work with proprietary algorithms, for continuous monitoring (and access to data), personalized treatment, and emergency alerts. Physical exam rooms display all of the data…
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Machine learning tools predict heart failure
Declan O’Regan and MRC London Institute of Medical Sciences colleagues believe that AI can predict when pulmonary hypertension patients require more aggressive treatment to prevent death. In a recent study, machine learning software automatically analyzed moving images of a patient’s heart, captured during an MRI. It then used image processing to build a “virtual 3D heart”,…
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Sensors + robotics + AI for safer aging in place
IBM and rice University are developing MERA — a Waston enabled robot meant to help seniors age in place. The system comprises a Pepper robot interface, Watson, and Rice’s CameraVitals project, which calculates vital signs by recording video of a person’s face. Vitals are measured multiple times each day. Caregivers are informed if the the camera and/or accelerometer detect…
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AI speech, text, image, identity analysis for healthcare, self-driving cars
The Baidu and Nvidia developed Baidu Brain is a robot that simulates the human brain using advanced algorithms, computing power, and data analysis. It can be used for voice recognition and synthesis, image recognition, natural language processing, and user profiling. Potential healthcare uses include disease recognition, treatment tracking, and rehabilitation progress. Wearable Tech + Digital Health + NeuroTech Silicon Valley –…
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AI identifies cancer after doctor misdiagnosis, used to personalize care
IBM Watson detected a rare form of leukemia in a patient in Japan, after comparing genetic changes with a database of 20 million research papers. She had been misdiagnosed by doctors for months, and received the wrong treatment for her cancer type. Watson has created partnerships with 16 US health systems and imaging firms to identify cancer, diabetes and…
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Algorithm to help computers reason, imagine like humans?
Vicarious is developing a neural network algorithm designed to process data in a way that is similar to a human brain — giving it a computer “imagination.” The company considers its work superior to current Deep Learning processes, as they claim it includes more features that appear in biology — including the ability to envision what the…
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AI on a chip for voice, image recognition
Horizon Robotics, led by Yu Kai, Baidu’s former deep learning head, is developing AI chips and software to mimic how the human brain solves abstract tasks, such as voice and image recognition. The company believes that this will provide more consistent and reliable services than cloud based systems. The goal is to enable fast and intelligent responses to…
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Machine learning for faster stroke diagnosis
MedyMatch uses big data and artificial intelligence to improve stroke diagnosis, with the goal of faster treatment. Patient CT photos are scanned and immediately compared with hundreds of thousands of other patient results. Almost any deviation from a normal CT is quickly detected. With current methods, medical imaging errors can occur when emergency room radiologists…
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DeepMind Health identifies complication risks
Google has announced DeepMind Health, which creates non-AI based apps to identify patientscomplication risk. It is expected for AI to be integrated in the future. Acute kidney injury is the group’s initial focus, being tested by the UK National Health Service and the Royal Free Hospital London. The initial app, Streams, quickly alerts hospital staff of…
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Machine learning analysis of doctor notes predicts cancer progression
Gunnar Rätsch and Memorial Sloan Kettering colleagues are using AI to find similarities between cancer cases. Ratsch’s algorithm has analyzed 100 million sentences taken from clinical notes of about 200,000 cancer patients to predict disease progression. In a recent study, machine learning was used to classify patient symptoms, medical histories and doctors’ observations into 10,000 clusters. Each…