IBM AI Principles
July 1, 2021
AI Advances in COVID-19
July 1, 2021AI in Singapore
UCARE.AI
UCARE.AI, guided by its moral compass, abides by a robust code of values and principles. Its goal is to use data ethically and responsibly to solve real-world problems and advance humankind. Data security, privacy, and confidentiality are uncompromisable.
UCARE.AI serves the 3P’s, namely, Patients, Payers, and Providers. Patients may obtain a personalized understanding of their lifetime risks for health maintenance and primary prevention. Providers can concentrate on patients that urgently need their expertise. Insights and augmenting capabilities facilitate the latter task. As for payers, it can provide enhanced coverage without increasing premiums by reducing costs. The company uses deep learning neural network algorithms to foresee healthcare patterns in patients. This prediction aims to reduce preventable hospitalization and, in turn, reduce costs and hassles. Such an approach also allows healthcare professionals and insurers to focus on the patients with more evident risks, UCARE.AI said.(1)
UCARE.AI
UCARE.AI, guided by its moral compass, abides by a robust code of values and principles. Its goal is to use data ethically and responsibly to solve real-world problems and advance humankind. Data security, privacy, and confidentiality are uncompromisable.
UCARE.AI serves the 3P’s, namely, Patients, Payers, and Providers. Patients may obtain a personalized understanding of their lifetime risks for health maintenance and primary prevention. Providers can concentrate on patients that urgently need their expertise. Insights and augmenting capabilities facilitate the latter task. As for payers, it can provide enhanced coverage without increasing premiums by reducing costs. The company uses deep learning neural network algorithms to foresee healthcare patterns in patients. This prediction aims to reduce preventable hospitalization and, in turn, reduce costs and hassles. Such an approach also allows healthcare professionals and insurers to focus on the patients with more evident risks, UCARE.AI said.(1)
Bot MD
Bot MD assists the busy clinician who needs answers fast. Bot MD is an AI assistant for Doctors, a workload-relieving medium to search for drugs, clinical tools, and hospital protocols in a single interface, on mobile and web. Get instant answers to questions on hospital call rosters, drug formulary, guidelines, and more. Bot MD easily integrates with the hospital’s existing scheduling systems and storage drives. Only verified hospital staff can access the patient’s content — and because it does not integrate with the EMR, there is no worry about compromising sensitive patient information. They have included tools to improve care efficiency and enable doctors to communicate essential patient updates to their teams securely.(2)
Bot MD
Bot MD assists the busy clinician who needs answers fast. Bot MD is an AI assistant for Doctors, a workload-relieving medium to search for drugs, clinical tools, and hospital protocols in a single interface, on mobile and web.
Get instant answers to questions on hospital call rosters, drug formulary, guidelines, and more. Bot MD easily integrates with the hospital’s existing scheduling systems and storage drives. Only verified hospital staff can access the patient’s content — and because it does not integrate with the EMR, there is no worry about compromising sensitive patient information. They have included tools to improve care efficiency and enable doctors to communicate essential patient updates to their teams securely.(2)
Healint
Healint is the world’s largest platform for real-world evidence on chronic pain. The company uses cutting-edge predictive IP in patient outcome improvement. Previously uncovered insights are improving patient outcomes and expediting clinical trials. Healint takes treatment development to the next level.(3)
Healint
Healint is the world’s largest platform for Real-World Evidence on Chronic Pain. The company uses cutting-edge predictive IP in patient outcome improvement. Previously uncovered insights are improving patient outcomes and expediting clinical trials. Healint takes treatment development to the next level.(3)
SGInnovate
SGInnovate launches, tests, and scales Deep Tech Products born out of science research. They believe that Singapore has the resources and capabilities to tackle challenging global problems impacting people’s lives. SGInnovate’s target is helping ambitious and capable people to build technology-intensive products borne out of scientific research. Therefore, the potential for technology to drastically disrupt and improve healthcare in the Association of Southeast Asian Nations (ASEAN) is immense. SGInnovate believes there are three areas of deep technology they predict will impact ASEAN healthcare in 2021: Artificial Intelligence Diagnosis, Genome Sequencing, and Robotic Surgery.(4)
SGInnovate
SGInnovate launches, tests, and scales Deep Tech Products born out of science research. They believe that Singapore has the resources and capabilities to tackle challenging global problems impacting people’s lives. SGInnovate’s target is helping ambitious and capable people to build technology-intensive products borne out of scientific research. Therefore, the potential for technology to drastically disrupt and improve healthcare in the Association of Southeast Asian Nations (ASEAN) is immense. SGInnovate believes there are three areas of deep technology they predict will impact ASEAN healthcare in 2021: Artificial Intelligence Diagnosis, Genome Sequencing, and Robotic Surgery.(4)
KroniKare
KroniKare
KroniKare is an HSA Class B registered diagnostic tool for automatically assessing and managing chronic wounds. With KroniKare, one can detect, measure, and scan a patient’s injury in 30 seconds and further evaluate it in the app in approximately 3 minutes (a task that may usually take 30 minutes) using Twin AI technology over 15 years of systematic data capture. Outcomes include more accurate, personalized, and faster diagnoses.(5)
AI for Kids (AI4K)®
AI for Kids (AI4K) incorporates AI in a merged learning format to school children aged 10 to 12 years old. Teachings include machine learning concepts, computational thinking, and finally, Microsoft’s Azure Cognitive Services’ use to build a basic AI application. Certified Instructors are skilled educators trained to teach the AI4K curriculum and deliver the learning outcomes. AI Singapore collaborates with its Certified Training Partner, AI Learning Lab, to conduct routine AI4K Train-the-Trainer (TTT) courses. The primary audiences are the Ministry of Education (MOE) school teachers and Information and Communication Technologies facilitators. The ultimate milestone is to develop internal school capabilities, resources, means, and flexibility to teach AI to students anytime.
Additionally, AI Singapore accepts parents as volunteers. Those parents intending to and already enrolled in the schools’ Parent Support Groups may undergo training to help schools surmount the participation of AI4K boot camps. AI Singapore desires to achieve the goal of having every MOE upper primary school student in Singapore learn about AI.
The AI4K Train-the-Trainer (TTT) course comprises a two-day TTT session and one full participation at an organized AI4K public boot camp. This course is provided exclusively by AI Singapore’s certified partner and qualified instructors. The two-day session details the AI4K curriculum and the hands-on activities. Afterward, trainees will present independently, obtain peer-review, and get graded by the Master Trainer before passing the session. Trainees will then require to participate in at least one AI4K public boot camp, either as hands-on facilitators or lesson presenters, before graduating. Graduated trainees will receive an “AI4K™ Certified Instructor” certificate, the licensed AI4K™ instructional materials, and resources to conduct AI4K™ – branded workshops within MOE primary schools.(6)
AI for Kids (AI4K)®
AI for Kids (AI4K) incorporates AI in a merged learning format to school children aged 10 to 12 years old. Teachings include machine learning concepts, computational thinking, and finally, Microsoft’s Azure Cognitive Services’ use to build a basic AI application. Certified Instructors are skilled educators trained to teach the AI4K curriculum and deliver the learning outcomes. AI Singapore collaborates with its Certified Training Partner, AI Learning Lab, to conduct routine AI4K Train-the-Trainer (TTT) courses. The primary audiences are the Ministry of Education (MOE) school teachers and Information and Communication Technologies facilitators. The ultimate milestone is to develop internal school capabilities, resources, means, and flexibility to teach AI to students anytime.
Additionally, AI Singapore accepts parents as volunteers. Those parents intending to and already enrolled in the schools’ Parent Support Groups may undergo training to help schools surmount the participation of AI4K boot camps. AI Singapore desires to achieve the goal of having every MOE upper primary school student in Singapore learn about AI.
The AI4K Train-the-Trainer (TTT) course comprises a two-day TTT session and one full participation at an organized AI4K public boot camp. This course is provided exclusively by AI Singapore’s certified partner and qualified instructors. The two-day session details the AI4K curriculum and the hands-on activities. Afterward, trainees will present independently, obtain peer-review, and get graded by the Master Trainer before passing the session. Trainees will then require to participate in at least one AI4K public boot camp, either as hands-on facilitators or lesson presenters, before graduating. Graduated trainees will receive an “AI4K™ Certified Instructor” certificate, the licensed AI4K™ instructional materials, and resources to conduct AI4K™ – branded workshops within MOE primary schools.(6)
Radiology
Singapore-based healthcare technology startup Claritas developed a cloud-based medical imaging program. Its purpose is to enhance radiology images’ quality and accessibility for both doctors and patients. Google Cloud acts as the platform’s host and provider with its healthcare application programming interface (API). The Google Cloud Healthcare API provides interoperability and compliance with standards.
Some of these fulfilled standards are Health Level 7 (HL7), Fast Healthcare Interoperability Resources (FHIR), Digital Imaging and Communications in Medicine (DICOM), as well as Health Insurance Portability and Accountability Act (HIPAA). This alliance boosts Claritas to compete in a broader market by managing multiple cloud data centers with security and complying with data sovereignty requirements. Vas Metupalle, the Head of Business Development of Claritas, said some research organizations in North America are already using tRAD, a radiology and medical imaging API, that Claritas is looking to test in clinical settings within hospitals. When asked about hospitals’ hesitancy to handle medical images and patient records on the cloud, Metupalle stated that many institutions have accepted that the cloud is the best next step. “In Indonesia, we are working on sending medical images from rural hospitals to Jakarta for reporting, and that can only happen with the cloud,” Metupalle told ComputerWeekly. “The bandwidth for uploading images from local labs is too low, and doctors will get bored by the time they see the images.”
Claritas is now looking to widen its reach beyond radiology labs to the general practitioner and specialist clinics. These could then upload medical images from a CD or flash drive to tRAD for analysis and reporting.(7)
Radiology
Singapore-based healthcare technology startup Claritas developed a cloud-based medical imaging program. Its purpose is to enhance radiology images’ quality and accessibility for both doctors and patients. Google Cloud acts as the platform’s host and provider with its healthcare application programming interface (API). The Google Cloud Healthcare API provides interoperability and compliance with standards.
Some of these fulfilled standards are Health Level 7 (HL7), Fast Healthcare Interoperability Resources (FHIR), Digital Imaging and Communications in Medicine (DICOM), as well as Health Insurance Portability and Accountability Act (HIPAA). This alliance boosts Claritas to compete in a broader market by managing multiple cloud data centers with security and complying with data sovereignty requirements. Vas Metupalle, the Head of Business Development of Claritas, said some research organizations in North America are already using tRAD, a radiology and medical imaging API, that Claritas is looking to test in clinical settings within hospitals. When asked about hospitals’ hesitancy to handle medical images and patient records on the cloud, Metupalle stated that many institutions have accepted that the cloud is the best next step. “In Indonesia, we are working on sending medical images from rural hospitals to Jakarta for reporting, and that can only happen with the cloud,” Metupalle told ComputerWeekly. “The bandwidth for uploading images from local labs is too low, and doctors will get bored by the time they see the images.”
Claritas is now looking to widen its reach beyond radiology labs to the general practitioner and specialist clinics. These could then upload medical images from a CD or flash drive to tRAD for analysis and reporting.(7)
Internal Medicine
KroniKare Wound Scanner is a patented device that uses a clinically validated AI for non-invasive and supportive clinical decision-making. The scanner is hand-held and generates a statement within 30 seconds after a detailed assessment. Using a patented Portable Multi-Spectral Scanner, the images are scrutinized in a deep on-server AI analysis. This server has been fed with data from over 15 years of chronic wound support and can cross-check the scanned wound against existing information. In under a minute, it generates a report with a thorough evaluation of the lesion. Healthcare practitioners can then perform the necessary actions to treat the patient’s wound accurately.
The KroniKare web dashboard automatically adapts once the chronic wound has been scanned and assessed by intelligent technology. Images captured can be either from the damaged area or its surroundings. The report displays information generated by AI technology and manually keyed by nurses or healthcare practitioners.
Internal Medicine
KroniKare Wound Scanner is a patented device that uses a clinically validated AI for non-invasive and supportive clinical decision-making. The scanner is hand-held and generates a statement within 30 seconds after a detailed assessment. Using a patented Portable Multi-Spectral Scanner, the images are scrutinized in a deep on-server AI analysis. This server has been fed with data from over 15 years of chronic wound support and can cross-check the scanned wound against existing information. In under a minute, it generates a report with a thorough evaluation of the lesion. Healthcare practitioners can then perform the necessary actions to treat the patient’s wound accurately.
The KroniKare web dashboard automatically adapts once the chronic wound has been scanned and assessed by intelligent technology. Images captured can be either from the damaged area or its surroundings. The report displays information generated by AI technology and manually keyed by nurses or healthcare practitioners.
This convenient and non-invasive technology can assess a patient’s chronic wound 30 times faster than traditional exams, regardless of the degree of injury. The AI-server is also continuously developing, as the technology also automatically stores new information, including manually inputted by nurses for unusual wound cases.(8)
References